# Best AI Agent Builders Software - Page 8 *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* The leading AI agent builder in 2026 is Salesforce Agentforce, rated 4.3 out of 5 on G2 based on 1,100+ verified reviews. For RPA-native orchestration, UiPath Agentic Automation edges ahead at 4.6 stars, while Zapier dominates the no-code segment with strong cross-app automation capabilities. 1. Salesforce Agentforce — 4.3/5 (1,100+ reviews): Salesforce-native autonomous agent building and deployment 2. UiPath Agentic Automation — 4.6/5 (7,500+ reviews): RPA-native agentic orchestration with human-in-the-loop 3. OutSystems — 4.5/5 (1,700+ reviews): Visual agentic app development with low-code 4. ServiceNow AI Agents — 4.3/5 (400+ reviews): ServiceNow-native agentic ITSM workflow automation 5. Zapier — 4.5/5 (2,000+ reviews): No-code agent-building with cross-app workflow automation *Updated June 2026. Based on 2026 G2 verified review data across 5 products.* AI agent builders are platforms purpose-built to create, configure, deploy, and manage AI agent software entities that autonomously pursue goals, execute multi-step tasks, and take actions across connected systems with minimal human intervention. Unlike tools that have added AI assistance or copilot features as a layer on top of existing functionality, AI agent builders are primarily oriented around the agent development lifecycle: defining agent goals and behaviors, connecting agents to tools and data sources, orchestrating multi-step or multi-agent workflows, and monitoring agent performance over time. These platforms enable agents to reason across context, chain actions together, call external APIs and services, and operate asynchronously, going beyond responding to individual user queries to proactively completing work on a user's behalf. This distinguishes them from [conversational interface agents](https://www.g2.com/categories/conversational-interface-agents), which are primarily focused on the human-to-system interaction layer, and from [chatbot software](https://www.g2.com/categories/chatbots), which handles reactive, turn-by-turn dialogue. AI agent builders are used across functions, including customer support, sales development, IT operations, HR, and back-office automation. They are deployed by technical and non-technical builders seeking to automate complex, multi-step business processes that previously required human judgment or coordination across multiple systems. These platforms typically offer a dedicated environment for designing agent logic and workflows, integration with enterprise systems such as [CRM software](https://www.g2.com/categories/crm), knowledge bases, ticketing systems, and external APIs, and tools for testing, observing, and iterating on agent behavior in production. To qualify for inclusion in the AI Agent Builders category, a product must: - Provide a dedicated environment for building and configuring AI agents, including defining goals, instructions, behaviors, and the tools or data sources agents can access - Enable agents to run multi-step, goal-directed workflows autonomously, not just respond to individual queries - Support integration with external systems, APIs, or enterprise data sources that agents can read from or write to as part of task execution - Integrate deeply with business systems, such as CRM or knowledge bases, ensuring data-driven and role-specific interactions - Offer tools to monitor, evaluate, and iterate on agent performance, such as logs, analytics dashboards, or testing environments - Allow for human-in-the-loop controls, including escalation paths, approval steps, or override mechanisms - Maintain security, compliance, and data privacy protocols appropriate for enterprise deployment ## Top AI Agent Builders Software at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) | 4.3/5.0 (1,163 reviews) | Salesforce-native autonomous agent building and deployment | "[Autonomous AI Agents That Streamline Workflows Across the Salesforce Ecosystem](https://www.g2.com/survey_responses/salesforce-agentforce-review-12739909)" | | 2 | [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews) | 4.6/5.0 (6,137 reviews) | RPA-native agentic orchestration with human-in-the-loop | "[Extending RPA Capabilities with Agentic AI](https://www.g2.com/survey_responses/uipath-agentic-automation-review-13049861)" | | 3 | [OutSystems](https://www.g2.com/products/outsystems/reviews) | 4.5/5.0 (1,622 reviews) | Visual agentic app development with low-code | "[OutSystems Speeds Delivery with a Powerful Visual Low-Code Platform](https://www.g2.com/survey_responses/outsystems-review-12858810)" | | 4 | [ServiceNow AI Agents](https://www.g2.com/products/servicenow-ai-agents/reviews) | 4.3/5.0 (436 reviews) | ServiceNow-native agentic ITSM workflow automation | "[ServiceNow AI Agents Streamline Workflows and Reduce Manual Effort](https://www.g2.com/survey_responses/servicenow-ai-agents-review-12617915)" | | 5 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,320 reviews) | — | "[Premium Notebook Experience That Unifies ML and Data Engineering](https://www.g2.com/survey_responses/databricks-review-13086971)" | | 6 | [Zapier](https://www.g2.com/products/zapier/reviews) | 4.5/5.0 (2,060 reviews) | No-code agent-building with cross-app workflow automation | "[Zapier has changed a lot recently!](https://www.g2.com/survey_responses/zapier-review-12997643)" | | 7 | [Asana](https://www.g2.com/products/asana/reviews) | 4.4/5.0 (13,231 reviews) | AI-automated cross-team workflow orchestration | "[Asana Keeps Me Organized—Fast, Fair-Priced, and Great Support](https://www.g2.com/survey_responses/asana-review-13108618)" | | 8 | [Jotform AI Agents](https://www.g2.com/products/jotform-ai-agents/reviews) | 4.5/5.0 (635 reviews) | No-code conversational agent deployment with trainable knowledge bases | "[Jotform AI Agent Streamlined My Workflow and Boosted Efficiency](https://www.g2.com/survey_responses/jotform-ai-agents-review-13102066)" | | 9 | [CloseBot](https://www.g2.com/products/closebot/reviews) | 4.8/5.0 (177 reviews) | Goal-based lead qualification and conversational appointment-booking | "[CloseBot Fixes the Gap Between Enquiry and Action](https://www.g2.com/survey_responses/closebot-review-12680018)" | | 10 | [Lindy](https://www.g2.com/products/lindy-lindy/reviews) | 4.9/5.0 (171 reviews) | No-code multi-step agent building with natural-language prompting | "[Effortless AI Automation, Perfect for Task Management](https://www.g2.com/survey_responses/lindy-review-12703079)" | --- ## What Are the Most Common Questions About AI Agent Builders Software? *AI-generated · Last updated: May 26, 2026* ### Ai tools for building agents? Based on G2 reviews, buyers looking into AI agent builders most often mention tools that help automate support, sales follow-up, workflow execution, and data-heavy tasks without requiring deep engineering effort. According to verified users, strong options in this category stand out for low-code setup, integrations with systems like CRMs, knowledge bases, and collaboration tools, plus the ability to handle repetitive work at scale. G2 reviewers mention that some products are especially valued for conversational support and lead handling, while others are chosen for orchestration, document processing, or broader automation. The right fit depends on whether your priority is customer service, internal operations, voice automation, or cross-system workflow management. ### I want the easiest ai agent builder for onboarding agents, which software has the simplest UI? Based on G2 reviews, [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews/salesforce-agentforce-review-12854878) appears most often among recently reviewed eligible products, and verified users frequently describe setup as straightforward once testing is in place. According to verified users across the category, the easiest interfaces are usually described as low-code or no-code, with visual builders, guided setup, and minimal switching between tools. G2 reviewers mention that ease of use often comes down to whether teams need simple onboarding bots or more advanced workflows, because some platforms are intuitive for first builds but become more technical as complexity grows. For onboarding-focused agents, buyers should look for clear workflow builders, reusable templates, and integrations that reduce manual setup work. ### What’s the best ai agent builder platform for a non-coder to spin up customer support bots? Based on G2 reviews, non-coders usually favor platforms that pair easy setup with strong support use cases such as FAQ handling, ticket deflection, and always-on website chat. According to verified users, the strongest options for customer support bots reduce the need for heavy coding by offering drag-and-drop builders, prebuilt flows, and knowledge-base connections. G2 reviewers mention that support teams value tools that can answer routine questions quickly, escalate when needed, and maintain a natural conversation style. Ease of training and deployment is also a recurring theme in reviews, especially for teams without dedicated developers. The best fit depends on whether you need chat, voice, or omnichannel support automation inside your existing service workflow. **Here are some of the top-rated products on G2:** - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews/salesforce-agentforce-review-12856902) – often used to automate support queues, case deflection, and knowledge-base driven customer help - [Jotform AI Agents](https://www.g2.com/products/jotform-ai-agents/reviews/jotform-ai-agents-review-12805226) – frequently used for FAQ bots and customer support assistants with simple setup - [CloseBot](https://www.g2.com/products/closebot/reviews/closebot-review-12680437) – commonly used for conversational intake and appointment-booking support flows ### Ai agent builders comparison which platform has the most reliable multi-agent orchestration? Based on G2 reviews, reliability in multi-agent orchestration is most often tied to how well a platform manages workflows across agents, systems, and approvals rather than just chat responses. According to verified users, products in this category are praised when they can coordinate agents with automation layers, handle structured handoffs, and support more complex business processes without excessive manual intervention. G2 reviewers mention strengths such as orchestration dashboards, reusable agents, and the ability to connect AI-driven steps with traditional workflow logic. Buyers comparing platforms for this need should prioritize review signals around governance, workflow visibility, and cross-system execution, especially if the use case involves multiple teams, long-running processes, or a mix of AI and human-in-the-loop actions. ### Best ai agent builder app for mobile so i can manage and tweak agents from my phone? Based on G2 reviews, mobile management is mentioned less often than desktop workflow building, so buyers should expect stronger support for monitoring and light updates than full agent design from a phone. According to verified users, some platforms are appreciated for accessible interfaces, quick navigation, and integrations that keep key workflows visible even when away from a desk. G2 reviewers mention mobile usefulness mainly in the context of notifications, reviewing activity, staying on top of tasks, and responding quickly, while deeper workflow setup is still often easier on desktop. If mobile access matters, buyers should look for products with responsive interfaces, simple dashboards, and integrations that let teams monitor conversations, tasks, or automations without needing a full workstation. **Here are some of the top-rated products on G2:** - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews/salesforce-agentforce-review-12814554) – mentioned by users for organized workflows and interest in more mobile-friendly, on-the-go use - [Zapier](https://www.g2.com/products/zapier/reviews/zapier-review-12584216) – used to monitor and automate recurring tasks with lightweight troubleshooting and notifications ### Best no-code ai agent builder software to embed on my website chat widget? Based on G2 reviews, no-code buyers looking for website chat widgets tend to value fast setup, easy training, and the ability to answer visitor questions without constant human involvement. According to verified users, the best experiences come from platforms that let teams publish quickly, connect knowledge sources, and manage conversational flows without heavy engineering work. G2 reviewers mention website chat use cases such as customer support, lead qualification, intake, and booking, often highlighting drag-and-drop interfaces or simple setup steps. Buyers should pay close attention to review themes around embedding, branding, response quality, and whether the tool can manage repetitive queries while still escalating or handing off when conversations become more complex. **Here are some of the top-rated products on G2:** - [Jotform AI Agents](https://www.g2.com/products/jotform-ai-agents/reviews/jotform-ai-agents-review-12752794) – often used to create website chatbots from uploaded files or site content with minimal setup - [Botpress](https://www.g2.com/products/botpress/reviews/botpress-review-12418677) – frequently used for customer-facing chat flows that automate answers and improve lead capture - [CloseBot](https://www.g2.com/products/closebot/reviews/closebot-review-12680437) – commonly embedded for conversational intake, appointment booking, and real-time website responses ### Which ai agent builder is actually worth paying for if i want sales outreach agents, not just toy demos? Based on G2 reviews, [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews/salesforce-agentforce-review-12854878) shows the strongest recent review presence among eligible products, making it the clearest single-product signal for buyers looking beyond lightweight experimentation. According to verified users, platforms worth paying for are the ones tied to measurable workflow outcomes such as lead qualification, CRM updates, approvals, and follow-up automation rather than novelty demos. G2 reviewers mention that serious sales use cases depend on strong integrations, reliable execution, and the ability to work with live business data. Buyers should favor products repeatedly described as useful for lead handling, deal prep, or sales workflow automation, especially if they need a tool that can move from pilot to everyday operational use. ### Top-rated ai agent builder platforms for saas companies that need workflow automation? Based on G2 reviews, SaaS teams evaluating agent builders for workflow automation consistently focus on platforms that connect apps, reduce repetitive operational work, and let teams automate structured processes at scale. According to verified users, the most useful products in this scenario are those that support app integrations, orchestration, data movement, and reusable workflows across support, operations, and go-to-market teams. G2 reviewers mention benefits such as centralizing workflows, reducing manual handoffs, improving response consistency, and moving faster without depending on custom development for every new process. For SaaS environments, buyers should look for signals around integration breadth, workflow visibility, low-code setup, and support for scaling automations across multiple internal teams and customer-facing operations. **Here are some of the top-rated products on G2:** - [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews/uipath-agentic-automation-review-12825539) – often used to automate end-to-end workflows that combine AI, RPA, and human review - [Zapier](https://www.g2.com/products/zapier/reviews/zapier-review-12669014) – frequently used by teams to connect apps, route leads, trigger follow-ups, and keep workflows synchronized - [n8n](https://www.g2.com/products/n8n/reviews/n8n-review-12691118) – commonly chosen for flexible workflow automation across APIs, data sources, and AI-driven processes ### What ai agent builder software do startups use for automated onboarding and product tours? Based on G2 reviews, startups tend to favor tools that are quick to stand up, easy to customize, and capable of handling onboarding steps or guided support without requiring large implementation teams. According to verified users, onboarding-related use cases often center on answering repetitive questions, guiding users through forms or setup flows, and reducing manual follow-up. G2 reviewers mention that startup teams value products with low-code builders, reusable workflows, and integrations that keep operational overhead down. For product-tour and onboarding scenarios, buyers should look for review evidence around conversational guidance, easy deployment, and the ability to keep customer or internal onboarding information consistent across channels while scaling beyond manual support. ### Cheapest ai agent builder tools that still have solid integrations with slack and hubspot? Based on G2 reviews, budget-conscious buyers still want strong integration depth, especially with go-to-market and collaboration tools. According to verified users, lower-cost or more cost-flexible options are often praised when they connect cleanly with Slack, CRMs, and other core business apps while remaining approachable for small teams. G2 reviewers mention that pricing pressure shows up frequently in this category, so buyers should weigh not only entry cost but also whether workflows, task volumes, or AI usage scale predictably. Affordable options are most attractive when they reduce manual work quickly and fit into existing workflows without requiring major engineering effort. For Slack and HubSpot-heavy teams, integration quality and ease of setup matter as much as sticker price. **Here are some of the top-rated products on G2:** - [Zapier](https://www.g2.com/products/zapier/reviews/zapier-review-12687921) – often used to connect HubSpot, Slack, and other tools for lead routing and workflow automation - [Relay.app](https://www.g2.com/products/relay-app/reviews/relay-app-review-12585150) – praised for easy workflow setup, affordability, and broad connections across common business tools - [n8n](https://www.g2.com/products/n8n/reviews/n8n-review-12845138) – valued for self-hosting flexibility and lower-cost automation across APIs and collaboration systems ## G2 Grid® for AI Agent Builders Software ![G2 Grid® for AI Agent Builders Software plotting products by satisfaction and market presence](https://www.g2.com/categories/ai-agent-builders/grids.png?focus%5B%5D=1408921&focus%5B%5D=6218&focus%5B%5D=3803&focus%5B%5D=1408919&focus%5B%5D=10470&focus%5B%5D=2629&focus%5B%5D=278&focus%5B%5D=1437428) Highlighted products: Salesforce Agentforce, UiPath Agentic Automation, OutSystems, ServiceNow AI Agents, Databricks, Zapier, Asana, and Jotform AI Agents. Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-agent-builders/grids.json?focus%5B%5D=salesforce-agentforce&focus%5B%5D=uipath-agentic-automation&focus%5B%5D=outsystems&focus%5B%5D=servicenow-ai-agents&focus%5B%5D=databricks&focus%5B%5D=zapier&focus%5B%5D=asana&focus%5B%5D=jotform-ai-agents) ## How Many AI Agent Builders Software Products Does G2 Track? **Total Products under this Category:** 394 ### Category Stats (Jul 2026) - **Average Rating**: 4.64/5 (↓0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Abacus.ai (+1.36%) - Among all products in this category, Abacus.ai recorded the largest rating increase compared to last month *Last updated: July 15, 2026* ## How Does G2 Rank AI Agent Builders Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 84,300+ Authentic Reviews - 394+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which AI Agent Builders Software Is Best for Your Use Case? - **Leader:** [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) - **Highest Performer:** [CloseBot](https://www.g2.com/products/closebot/reviews) - **Easiest to Use:** [CloseBot](https://www.g2.com/products/closebot/reviews) - **Top Trending:** [n8n](https://www.g2.com/products/n8n/reviews) - **Best Free Software:** [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) --- **Sponsored** ### Leadbeam Leadbeam is the AI-native operating system for field sales, the only platform purpose-built for sales teams that work on their feet, in their cars, and in front of customers, not at a desk. Used by Block, Mindbody, ClassPass, SumUp, Flipdish, and Sunday to run their global field teams. Leadbeam combines six AI-powered products in a single workflow: Atlas: Territory intelligence with 30M+ businesses mapped and scored on 30+ buying signals so reps know which doors are worth knocking first. Beamly: An AI rep companion that briefs sellers before every visit using context from the CRM, the web, and the team's collective knowledge. Compass: Smart routing that adapts to live business hours, calendars, and traffic so reps never hit a closed door. Pulse: Multimodal voice, image, and text capture that turns 30 seconds of dictation into complete, multi-object CRM records. Studio: A web workspace for managers, RevOps, and sales leaders to plan, coach, and review the field motion in real time. Leadbeam CRM: An AI-native field CRM, built bottom up for those on the move Customer outcomes: 6X more data captured to CRM 5+ hours per week back to every rep (240 hours/year) [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1009956&secure%5Bchosen_at%5D=2026-07-15T18%3A46%3A03Z&secure%5Bdisplayable_resource_id%5D=1189&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=1354134&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1354134&secure%5Bresource_id%5D=1009956&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fai-agent-builders%3Fpage%3D9%26source%3Dsearch&secure%5Btoken%5D=bf6a9d7657caf04820da6597956493178f18120f2fff158259f2ddfa143f04e5&secure%5Burl%5D=https%3A%2F%2Fwww.leadbeam.ai%2F%3Futm_source%3Dg2%26utm_medium%3Dcpc&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated AI Agent Builders Software Products in 2026? ### 1. [Cardor](https://www.g2.com/products/cardor/reviews) Cardor offers a suite of innovative tools designed to enhance developer productivity and streamline workflows. Among its notable products is the agent-harness-kit, a command-line interface (CLI) tool that automates the creation of a production-ready multi-agent harness for any repository. By executing a single command, developers can generate a structured environment featuring an SQLite state, Model Context Protocol (MCP) tools, per-agent instruction files, health checks, and coordination rules. This setup addresses common challenges associated with AI coding agents, such as statelessness and lack of coordination, by providing persistent state management and clear role definitions for agents. The agent-harness-kit is compatible with platforms like Claude Code and OpenCode, and it operates without the need for external databases or Docker, making it accessible and efficient for developers. Key Features and Functionality: - Automated Multi-Agent Harness Creation: Generates a comprehensive multi-agent system infrastructure with a single command. - Persistent State Management: Utilizes SQLite to maintain state across sessions, ensuring agents have memory and context. - Role-Specific Agents: Includes predefined agents with distinct responsibilities: Lead, Explorer, Builder, and Reviewer, each with explicit permission boundaries. - Health Checks and Coordination Rules: Incorporates health check scripts and coordination rules to maintain system integrity and prevent conflicts. - Provider Agnostic: Compatible with various AI coding platforms, including Claude Code and OpenCode. - No External Dependencies: Operates without the need for external databases or Docker, simplifying setup and usage. Primary Value and Problem Solved: The agent-harness-kit addresses the core issues of statelessness and lack of coordination in AI coding agents. By providing a structured environment with persistent state management and clearly defined agent roles, it ensures that AI agents can work collaboratively and efficiently without overwriting each other's work or losing context between sessions. This leads to more reliable and trustworthy AI-assisted development processes, enhancing overall productivity and code quality. **Who Is the Company Behind Cardor?** - **Seller:** [Cardor](https://www.g2.com/sellers/cardor) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 2. [ChatMoney](https://www.g2.com/products/chatmoney/reviews) ChatMoney is a comprehensive AI knowledge base system designed to empower enterprises through intelligent automation and efficient information management. Developed with a front-end and back-end separation architecture, it utilizes technologies such as Vue3, FastAPI, PostgreSQL, and pgvector. The system supports both PC and H5 platforms, offering versatile deployment options to meet diverse business needs. Key Features and Functionality: - Versatile Knowledge Base: Supports both Q&A and document-based knowledge repositories, allowing the import of various document formats including txt, doc, docx, pdf, and md. - AI-Powered Responses: After vectorizing imported data, the system enables users to perform vectorized searches and receive AI-generated answers, enhancing the professionalism and practicality of responses. - Multi-Channel Deployment: Offers multiple channels for external deployment, including chat web windows, iframe code, JavaScript code, and API interfaces, providing robust third-party integration capabilities. - Enterprise Applications: Ideal for scenarios such as intelligent customer service, enterprise document management, and expert advisory assistants, delivering significant commercial value. Primary Value and Solutions Provided: ChatMoney addresses the need for efficient and intelligent information management within enterprises. By automating customer service interactions and streamlining access to internal documents, it reduces operational costs and enhances service quality. The system's AI capabilities ensure accurate and context-aware responses, improving user satisfaction and operational efficiency. Its flexible deployment options and strong integration capabilities make it a valuable asset for businesses seeking to leverage AI for digital transformation. **Who Is the Company Behind ChatMoney?** - **Seller:** [ChatMoney](https://www.g2.com/sellers/chatmoney) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 3. [chowder.dev](https://www.g2.com/products/chowder-dev/reviews) Chowder.dev is a unified API platform designed to simplify the deployment, management, and interaction with OpenClaw instances. It enables developers to quickly set up fully isolated AI agents, connect them to multiple messaging channels, and enhance their capabilities through a skills marketplace. With built-in authentication and session management, Chowder.dev offers a streamlined solution for integrating AI functionalities into various applications. Key Features: - Managed Claw Infrastructure: Deploy fully isolated OpenClaw instances with dedicated sandboxes, workspaces, and gateways through a single API call. - Multi-Channel Integration: Connect AI agents to 11 communication channels, including Telegram, Discord, Slack, WhatsApp, and Signal, allowing interaction with users on their preferred platforms. - Skills Marketplace: Enhance AI agent capabilities by installing additional skills from ClawHub, such as browsing, file access, and code execution, with a single request. - Built-in Authentication: Utilize organization keys, scoped instance keys with granular permissions, and automatic key rotation, eliminating the need for additional authentication middleware. - OpenAI Compatibility: Serve as a drop-in replacement for the OpenAI Responses API, supporting sessions, tools, and structured output in the same format, but with enhanced functionality. - Sessions and Memory Management: Enable stateful conversations by routing messages to isolated sessions, allowing AI agents to retain context across interactions. Primary Value and Problem Solved: Chowder.dev addresses the complexity and time-consuming nature of deploying and managing AI agents by providing a unified, OpenAI-compatible API. It allows developers to focus on building and innovating rather than dealing with infrastructure setup and maintenance. By offering managed instances, multi-channel integration, and a skills marketplace, Chowder.dev empowers developers to create and scale AI applications efficiently, reducing development time and operational overhead. **Who Is the Company Behind chowder.dev?** - **Seller:** [chowder.dev](https://www.g2.com/sellers/chowder-dev) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 4. [Cimulate AI](https://www.g2.com/products/cimulate-ai/reviews) Cimulate's Agentic Interfaces provide a comprehensive solution for integrating AI-powered commerce workflows into various platforms. These interfaces enable businesses to seamlessly connect their structured product data and content with multiple AI models, ensuring consistent and efficient delivery across all answer engines. Key Features and Functionality: - MCP Server: Centralizes the delivery of structured product data, metadata, long-tail attributes, and product availability information to all answer engines, ensuring uniform and accurate data dissemination. - ChatGPT Apps: Facilitates the creation of branded ChatGPT applications, allowing businesses to control the entire customer experience within ChatGPT. This includes capabilities ranging from product discovery to personalized assistance and end-to-end transactions. Primary Value and User Solutions: By implementing Cimulate's Agentic Interfaces, businesses can effectively manage and distribute their product information across various AI platforms, enhancing visibility and engagement. This integration streamlines the commerce workflow, reduces manual data handling, and ensures that customers receive accurate and personalized information, leading to improved customer satisfaction and increased sales. **Who Is the Company Behind Cimulate AI?** - **Seller:** [Cimulate AI](https://www.g2.com/sellers/cimulate-ai) - **Year Founded:** 2023 - **HQ Location:** Boston, US - **LinkedIn® Page:** https://www.linkedin.com/company/cimulateai/ (25 employees on LinkedIn®) ### 5. [Clarko](https://www.g2.com/products/clarko/reviews) Clarko is a conversational automation platform that lets you create powerful agents and workflows by chatting with AI. Instead of designing flows or dragging boxes, you describe what you want to happen and Clarko generates a production-ready, deterministic workflow across your stack. **Who Is the Company Behind Clarko?** - **Seller:** [Clarko](https://www.g2.com/sellers/clarko) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/clarcko/ (1 employees on LinkedIn®) ### 6. [Claw Buff](https://www.g2.com/products/claw-buff/reviews) Claw Buff is a managed hosting platform designed to streamline the deployment and management of OpenClaw AI agents. With Claw Buff, users can launch AI agents in under 30 seconds by selecting a model and connecting communication channels such as Telegram, Discord, or Slack. The platform offers a comprehensive management console for monitoring usage, setting budgets, and seamlessly switching between over 10 different large language models (LLMs), including GPT, Claude, and Gemini, without requiring technical expertise in areas like Docker or SSH. Additionally, Claw Buff features the SOUL Hub, a marketplace for pre-built AI personas, and provides an OpenAI-compatible API for custom integrations. Key Features and Functionality: - Rapid Deployment: Deploy AI agents in under 30 seconds without server configuration. - Multi-Channel Integration: Connect with platforms like Telegram, Discord, Slack, and WhatsApp. - Comprehensive Management Console: Monitor usage, set budgets, and manage configurations effortlessly. - Model Flexibility: Easily switch between over 10 LLMs with a single click. - SOUL Hub Marketplace: Access a variety of pre-built AI personas for diverse applications. - OpenAI-Compatible API: Integrate custom solutions seamlessly with existing systems. Primary Value and User Solutions: Claw Buff simplifies the process of deploying and managing AI agents, eliminating the need for extensive technical knowledge or server management. It enables businesses and developers to quickly implement AI solutions for customer support, community moderation, content creation, and more, thereby enhancing efficiency and scalability. By offering a user-friendly interface and a suite of powerful tools, Claw Buff addresses common challenges in AI deployment, making advanced AI capabilities accessible to a broader audience. **Who Is the Company Behind Claw Buff?** - **Seller:** [Claw Buff](https://www.g2.com/sellers/claw-buff) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 7. [ClawDuck](https://www.g2.com/products/clawduck/reviews) ClawDuck is an innovative platform designed to simplify the deployment of AI agents across various communication channels without requiring extensive technical expertise. It enables users to connect AI agents to platforms like Slack, WhatsApp, and Telegram in minutes, eliminating the need for complex server setups or infrastructure management. Key Features and Functionality: - Multi-Model Support: ClawDuck seamlessly integrates with a variety of AI models, including Claude, GPT, Gemini, Grok, and Llama, managing model routing and credits efficiently. - Channel Integration: The platform offers guided setup flows and health checks for connecting AI agents to popular communication channels such as Slack, Discord, Telegram, and WhatsApp. - Custom Agents with AgentOS: Users can build specialized AI agents with tailored instructions, tools, API hooks, and MCP servers, facilitating rapid development and deployment. - AgentOS Harness: For advanced orchestration, ClawDuck provides tools to manage teams, workflows, traces, and memory within a production runtime environment. - Local Voice Processing: The platform supports on-device voice message transcription, ensuring that audio data remains private and does not leave the user's environment. - Local Memory Storage: ClawDuck offers on-device vector embedding for long-term memory and semantic search capabilities, eliminating the need for external embedding APIs. Primary Value and User Solutions: ClawDuck addresses the complexities associated with deploying AI agents by offering a user-friendly, no-code solution that streamlines the integration process. By managing infrastructure, model routing, and channel connections, it allows users to focus on developing and customizing their AI agents without the overhead of DevOps tasks. This approach significantly reduces deployment time and technical barriers, making AI agent implementation accessible to a broader audience. **Who Is the Company Behind ClawDuck?** - **Seller:** [ClawDuck](https://www.g2.com/sellers/clawduck) - **Year Founded:** 2026 - **HQ Location:** Dubai, AE - **LinkedIn® Page:** https://www.linkedin.com/company/clawduck (40 employees on LinkedIn®) ### 8. [Claw Headquarters](https://www.g2.com/products/claw-headquarters/reviews) Claw Headquarters: The multi-agent AI platform to build, manage, and deploy AI agents. Automate tasks, orchestrate AI teams, manage Git repos, and chat in real-time from a powerful web dashboard. Starting at $30/mo. **Who Is the Company Behind Claw Headquarters?** - **Seller:** [Claw Headquarters](https://www.g2.com/sellers/claw-headquarters) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 9. [Clawly](https://www.g2.com/products/clawly/reviews) Clawly is an OpenClaw-powered AI copilot for automating work across tools, messages, and daily workflows **Who Is the Company Behind Clawly?** - **Seller:** [Clawly](https://www.g2.com/sellers/clawly) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 10. [ClawRecipes](https://www.g2.com/products/clawrecipes/reviews) ClawRecipes is an open-source platform designed to streamline the creation and management of multi-agent teams within the OpenClaw ecosystem. By utilizing Markdown blueprints, it enables users to build complete teams with shared, file-based contexts, ensuring workflows are readable, reviewable, and version-controlled. This approach facilitates repeatable and efficient team operations, from initial scaffolding to final deployment. Key Features and Functionality: - Multi-Agent Teams: Provides ready-to-use templates for roles such as Lead, Developer, DevOps, and QA, allowing for quick assembly of specialized teams. - Shared Context: Maintains all team-related information—notes, tickets, checklists, and artifacts—in a shared workspace, ensuring consistency and accessibility. - Cron Automation: Supports recurring operational loops with explicit installation consent, enabling automated tasks like check-ins and reminders. - Recipe Marketplace: Offers a repository of proven team and agent templates that can be instantly installed, reducing setup time and promoting best practices. - Agile Workflow Integration: Facilitates agile processes with clear swim lanes (Backlog, In Progress, Testing, Done), ensuring structured and efficient project progression. Primary Value and User Solutions: ClawRecipes addresses the complexities of managing multi-agent teams by providing a structured, repeatable framework that enhances collaboration and operational efficiency. By leveraging file-first workflows and shared contexts, it ensures that all team members have access to up-to-date information, reducing miscommunication and errors. The integration of automated workflows and a marketplace of templates further accelerates project initiation and execution, allowing teams to focus on delivering high-quality outcomes without the overhead of manual setup and coordination. **Who Is the Company Behind ClawRecipes?** - **Seller:** [ClawRecipes](https://www.g2.com/sellers/clawrecipes) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 11. [ClawSimple](https://www.g2.com/products/clawsimple/reviews) ClawSimple is a fully managed hosting platform for OpenClaw, helping teams launch reliable AI agents without touching the terminal. Instead of buying and configuring servers yourself, ClawSimple spins up a clean OpenClaw environment for you, runs the official installer, and keeps it updated and monitored. You connect your Telegram bot token and user ID, choose a plan, and your OpenClaw bot goes live in minutes. ClawSimple is designed for startups, agencies, and operators who want the power of OpenClaw without the DevOps burden. All paid plans include built‑in AI credits, and you can bring your own API keys at any time for full cost and model control. Each server can run multiple agents with their own Telegram tokens and AI models, and a 24/7 “Repair Agent”(ClawSimpleOffical bot) is available via Telegram to help with updates, model changes, and basic troubleshooting. By outsourcing setup, updates, and basic operations to ClawSimple while keeping infrastructure and keys under your control, teams get a faster path from idea to production‑ready OpenClaw bots. **Who Is the Company Behind ClawSimple?** - **Seller:** [ClawSimple](https://www.g2.com/sellers/clawsimple) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 12. [Codebolt](https://www.g2.com/products/codebolt/reviews) Codebolt is an advanced AI engine designed to empower developers in building, deploying, and managing autonomous software agents across various environments, including local machines, cloud platforms, and distributed systems. Unlike traditional AI tools that focus on singular tasks, Codebolt provides a comprehensive execution environment where agents, plugins, and applications operate seamlessly, enabling the creation of agent-native software that can run, improve, distribute, and compose itself. Key Features and Functionality: - Comprehensive Development Tools: Codebolt offers a suite of tools, including a desktop IDE, command-line interface (CLI), and cloud-based platforms, allowing developers to build and manage agents in their preferred environment. - Extensible SDKs: With over 63 modules in the Agent SDK, developers have full control over prompts, tools, memory, and routing, facilitating the creation of custom agents tailored to specific needs. - Multi-Agent Coordination: The engine supports the orchestration of multiple agents through features like stigmergy, deliberation councils, and review-merge systems, enabling complex workflows and collaborative agent interactions. - Autonomous Operation: Codebolt allows agents to operate autonomously with proactive scheduling, persistent memory, and integration with existing business tools, supporting continuous operation without human intervention. - Cross-Environment Scalability: The platform enables seamless execution across different environments, including local machines, cloud services, and distributed systems, ensuring flexibility and scalability in deployment. Primary Value and User Solutions: Codebolt addresses the limitations of traditional AI tools by providing a unified engine capable of handling the full lifecycle of agent development and deployment. It empowers developers to create intelligent, autonomous agents that can manage complex tasks, coordinate with other agents, and operate across diverse environments. This capability reduces the need for manual intervention, enhances productivity, and enables the development of sophisticated, self-improving software systems. **Who Is the Company Behind Codebolt?** - **Seller:** [Codebolt](https://www.g2.com/sellers/codebolt) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 13. [Codemaya](https://www.g2.com/products/codemaya/reviews) Codemaya builds autonomous AI agents, custom web apps, and mobile solutions to automate unpredictable business processes and scale your startup. **Who Is the Company Behind Codemaya?** - **Seller:** [CodeMaya](https://www.g2.com/sellers/codemaya) - **Year Founded:** 2013 - **HQ Location:** Pleasanton, US - **LinkedIn® Page:** https://www.linkedin.com/company/codemaya (24 employees on LinkedIn®) ### 14. [CodeWords](https://www.g2.com/products/codewords/reviews) CodeWords is an AI-powered workflow automation platform. Teams describe their workflow in natural language, and CodeWords builds the automation for you, without drag-and-drop. With automatic building, testing, and deploying, CodeWords enables everyone (from non-technical users to developers) to build complex automations with zero technical effort. At the core of CodeWords is Cody, a conversational AI assistant that works with you to build your workflow automation. Users describe the tasks they want to automate, and Cody generates the workflow logic automatically. With Cody, you can ideate on your workflow automation, iterate and create different versions, and easily customize existing workflow automations, all simply by asking. Key benefits and use cases Natural language automation: Build and deploy workflows by describing the desired outcome — no programming required. 2,700+ integrations: Connect with all your other tools in just a couple of clicks, without any complex or technical configuration. Some of our most popular integrations include Notion, Slack, Webflow, Lovable, ElevenLabs, WhatsApp, and Gmail. Low-code customization: For users with programming knowledge, you can access the code base so you still have all the detail you need. Flexible deployment: CodeWords adapts to your use case. You can use it to automate tasks across marketing, operations, IT, customer support, data processing, and more from simple routines to complex business processes. Scalable team collaboration: Share workflows internally or externally, build on reusable templates, and adapt automations across departments or teams. Template Gallery: Start with one of our pre-built automation templates from the gallery, easily click-to-customize them, or build your own by chatting with Cody. Ideal For - Founders and small teams who want to reduce manual, repetitive work, but who don't have the time or resource to do so with traditionally more technical automation tools. - Solopreneurs who want to cut time and costs without losing flexibility, autonomy, or requiring technical expertise. - Growth teams who want to move fast without relying on engineering. - Operations teams who want to feel empowered to automate business systems internally. - Users who want to scale side projects but might be more used to vibe coding and want a flexible and fast tool. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind CodeWords?** - **Seller:** [Agemo](https://www.g2.com/sellers/agemo-4d0ed6de-043e-4bf2-a017-0ab22158c917) - **HQ Location:** London, GB - **LinkedIn® Page:** https://www.linkedin.com/company/agemoai/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are CodeWords's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Integrations (1 reviews) - Simple (1 reviews) **Cons:** - Missing Features (1 reviews) ### What Do G2 Reviewers Say About CodeWords? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **ease of use** of CodeWords, finding it smooth and well-integrated with other tools. - Users enjoy the **seamless integrations** of CodeWords, enhancing their experience with user-friendly functionality. - Users find CodeWords to be **simple and user-friendly** , ensuring a smooth and hassle-free experience. **Cons:** - Users desire the addition of a **lighter mode** in CodeWords, as only dark mode is currently offered. #### What Are Recent G2 Reviews of CodeWords? **"[Great functionality and easy to use](https://www.g2.com/survey_responses/codewords-review-11874272)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/codewords-review-11874272) --- ### 15. [CogentAI](https://www.g2.com/products/cogentai/reviews) CogentAI is an enterprise-grade AI platform designed to integrate seamlessly into existing workflows, providing secure, customized, and efficient automation solutions. Unlike generic AI copilots, CogentAI offers purpose-built agents that understand specific organizational processes, adhere to established guardrails, and are fine-tuned for unique workflows. The platform can be deployed on-premises, in private clouds, or in hybrid environments, ensuring data sovereignty and compliance with industry standards. Key Features and Functionality: - Agent Layer: Deploys AI agents tailored to organizational KPIs, automating decision-making and streamlining workflows with context and precision. - Optimization Layer: Utilizes LLM-agnostic orchestration to transform general models into domain-specific agents, leveraging enterprise knowledge and context for secure, scalable intelligence. - Data Layer: Operates where data resides—on-premises, private cloud, or air-gapped environments—without duplicating or exposing it, maintaining full compliance and control. - Integration Capabilities: Works within existing tools such as ERP, CRM, emails, and documents, allowing agents to perform tasks without disrupting current systems. - Security and Compliance: Features zero-trust architecture with built-in IAM, RLS, SSO, and audit controls, meeting enterprise-grade compliance for ISO, HIPAA, GDPR, and more. Primary Value and Problem Solving: CogentAI addresses the limitations of generic AI solutions by offering customizable agents that align with specific organizational processes and security requirements. By integrating directly into existing workflows and respecting data boundaries, it enhances operational efficiency without compromising data integrity. The platform's flexible deployment options and robust security measures ensure that enterprises can leverage AI capabilities while maintaining full control over their data and compliance obligations. **Who Is the Company Behind CogentAI?** - **Seller:** [CogentAI](https://www.g2.com/sellers/cogentai) - **Year Founded:** 2025 - **HQ Location:** Cupertino, US - **LinkedIn® Page:** https://www.linkedin.com/company/co-gentai (15 employees on LinkedIn®) ### 16. [Cogito](https://www.g2.com/products/cogito-cogito/reviews) Cogito is a shared business brain that lives in Slack and Microsoft Teams. Unlike per-user chat assistants, Cogito is one brain everyone on the team talks to. It reasons across your full stack as equals: Salesforce, Notion, Linear, Zendesk, GitHub, Gmail, Drive, and more. No hub assumption, no platform allegiance. Cogito inherits each user's permissions live from each connected system, so the same query is scoped correctly for a sales rep, an engineer, or an executive. Real-time webhook triggers let teams build workflows that fire the instant something happens, not on a polling schedule. Admins connect shared org tools once and the team inherits automatically. Users connect personal tools like Gmail and calendar themselves. Designed for teams of 1 to 100 that want to be live in an afternoon, not next quarter. OAuth setup in minutes, no IT rollout required. Flat per-workspace pricing with unlimited users, starting at $69 per month, on the public pricing page. Self-hostable single-tenant deployment available on Enterprise. **Who Is the Company Behind Cogito?** - **Seller:** [Cogito](https://www.g2.com/sellers/cogito-b3a96e98-a136-4bb2-8615-b107ee983860) - **Year Founded:** 2026 - **HQ Location:** Zürich, CH - **LinkedIn® Page:** https://www.linkedin.com/company/trycogito/ (2 employees on LinkedIn®) ### 17. [Cognition Labs' Devin](https://www.g2.com/products/cognition-labs-devin/reviews) Devin, developed by Cognition Labs, is an autonomous AI software engineer designed to independently handle complex software development tasks. Operating within a cloud-based sandbox environment equipped with a browser, terminal, code editor, and shell, Devin can plan, code, test, and deploy applications with minimal human intervention. Key Features and Functionality: - Autonomous Task Execution: Devin can independently plan and execute software development tasks, including writing code, running tests, debugging, and deploying applications. - Seamless Integrations: It integrates with popular tools such as Slack, Microsoft Teams, Linear, Jira, GitHub, GitLab, and Bitbucket, facilitating smooth task delegation and collaboration. - API Access: The Devin API allows for programmatic invocation, enabling integration into continuous integration (CI) pipelines for automated fixes and bulk refactoring across multiple repositories. - Advanced Capabilities: Features like DeepWiki for repository indexing and Devin Review for pull request assessments enhance codebase understanding and review processes. - Enterprise-Grade Compliance: Devin adheres to compliance standards including SOC 2 Type 2 and ISO 27001:2022, ensuring secure and reliable operations. Primary Value and Problem Solving: Devin addresses the challenge of resource-intensive software development by automating routine and complex engineering tasks. This automation allows human engineers to focus on more strategic and creative aspects of development, thereby increasing overall productivity and efficiency. By integrating seamlessly with existing tools and workflows, Devin enhances collaboration and streamlines the development process, making it a valuable asset for engineering teams aiming to achieve ambitious goals. **Who Is the Company Behind Cognition Labs' Devin?** - **Seller:** [Cognition Labs' Devin](https://www.g2.com/sellers/cognition-labs-devin) - **Year Founded:** 2018 - **HQ Location:** Los Angeles, US - **LinkedIn® Page:** https://www.linkedin.com/company/cognition-interactive (13 employees on LinkedIn®) ### 18. [CogStorm](https://www.g2.com/products/cogstorm/reviews) CogStorm is an open-source developer platform designed to streamline the building, deployment, and governance of multi-agent AI systems. Addressing the challenge that 89% of AI agent projects fail to reach production, CogStorm offers a comprehensive solution to bridge this gap. Key Features and Functionality: - Agent Studio: A visual, drag-and-drop workflow designer equipped with over 50 production-ready templates, facilitating rapid development of AI agents. - CogStorm Core: An open-source SDK supporting Python and TypeScript, compatible with over 100 models, and designed for command-line interface (CLI) operations. - Deploy: Enables one-command deployment with auto-scaling capabilities ranging from 2 to over 50 instances, supporting multi-region deployments. - Observability: Provides comprehensive monitoring tools, including traces, cost analysis, success rates, and token usage, all accessible through a unified dashboard. - Shield: Offers enterprise-grade governance and compliance features such as SOC 2, HIPAA compliance, audit trails, role-based access control (RBAC), and behavioral guardrails. Primary Value and User Solutions: CogStorm addresses the high failure rate of AI agent projects by offering an integrated platform that combines design, coding, deployment, monitoring, and governance. By providing tools like Agent Studio and CogStorm Core, developers can efficiently create and manage AI agents. The Deploy feature ensures seamless scaling and deployment, while Observability and Shield offer critical insights and compliance measures. This holistic approach significantly reduces the time and resources required to transition AI agent projects from prototype to production, enhancing success rates and operational efficiency. **Who Is the Company Behind CogStorm?** - **Seller:** [Cogstorm](https://www.g2.com/sellers/cogstorm) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 19. [Compostable AI](https://www.g2.com/products/compostable-ai/reviews) Compostable AI is a unified B2B SaaS platform that allows vehicle brokers to instantly compare multi-funder quotes, track live vehicle stock, and automate complex Salary Sacrifice calculations. It eliminates the "portal fatigue" of logging into multiple funder networks like Lex Autolease, Ayvens, Arval, and Novuna. With Compostable, brokers execute a single search to receive instant, side-by-side quote comparisons. The platform features an automated quoting engine that handles complex Benefit-in-Kind (BIK) tax and National Insurance calculations for Salary Sacrifice schemes, reducing average quoting time by 85%. **Who Is the Company Behind Compostable AI?** - **Seller:** [Compostable AI](https://www.g2.com/sellers/compostable-ai) - **Year Founded:** 2024 - **HQ Location:** Edinburgh, GB - **LinkedIn® Page:** https://www.linkedin.com/company/compostableai/ (7 employees on LinkedIn®) ### 20. [Connic](https://www.g2.com/products/connic/reviews) Connic is an AI agent deployment platform that enables developers to build, deploy, and manage production AI agents without infrastructure expertise. It provides a managed runtime environment where teams define agents declaratively using YAML configuration files, write custom tools as standard Python functions, and deploy through a Git-based workflow that handles scaling, monitoring, and integrations automatically. Connic is designed for software engineering teams and SaaS companies that need to move AI agents from prototype to production. Typical users include backend developers building AI-powered features into existing products, DevOps teams looking to avoid the complexity of self-hosting agent infrastructure, and product teams deploying customer-facing AI workflows such as support automation, document processing, or data enrichment. The platform addresses a common bottleneck in AI agent development: the gap between a working prototype and a production-grade system. Running agents at scale requires isolated execution environments, concurrency control, retry logic, observability, and integrations with external systems. Connic handles these concerns so developers can focus on agent logic rather than infrastructure. Key capabilities include: - Declarative agent configuration: Agents are defined in YAML with support for LLM agents, sequential pipelines, and tool-calling agents. Custom tools are written as typed Python functions. The Composer SDK validates configurations locally before deployment. - Git-based deployment: Pushing to a connected Git repository triggers automatic builds and versioned deployments. Every deployment supports instant rollback. A CLI alternative is available for teams not using Git integrations. - Enterprise connectors: 12 built-in connectors bridge agents to external systems, including webhooks, cron schedules, Apache Kafka, Amazon SQS, Amazon S3, PostgreSQL (via LISTEN/NOTIFY), WebSockets, MCP (Model Context Protocol), email (IMAP), Stripe, and Telegram. Connectors can be inbound (triggering agents), outbound (delivering results), or synchronous (request-response). - Built-in observability: Every agent run is recorded with full execution traces, token usage tracking, latency metrics, and cost breakdowns. Custom dashboards allow teams to monitor agent performance across deployments and environments. - Knowledge base and managed database: Agents can query uploaded documents via semantic search for retrieval-augmented generation (RAG), or use a managed relational database for persistent state and structured data storage. Connic supports all major LLM providers, including OpenAI, Anthropic, Google, and others, using the team's own API keys. Additional platform features include guardrails for real-time input/output filtering, human-in-the-loop approval workflows for sensitive agent actions, A/B testing with traffic splitting, and automated evaluation using LLM-based judges. The platform offers a free tier with no credit card required, along with paid plans starting at $390 per month. Pricing is based on agent run time (minutes) and number of runs, with pay-per-use billing beyond included limits. Connic is available in 10 deployment regions and provides SOC 2 security practices, a data processing agreement, and EU AI Act compliance documentation. **Who Is the Company Behind Connic?** - **Seller:** [Connic](https://www.g2.com/sellers/connic) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (2 employees on LinkedIn®) ### 21. [ContactSwing](https://www.g2.com/products/contactswing/reviews) ContactSwing empowers businesses of all sizes to automate voice conversations with sophisticated, natural-sounding AI agents that behave like humans. From lead qualification and appointment booking to customer support and after-hours engagement, ContactSwing’s voice AI works around the clock so no call or opportunity is missed. Key Features & Capabilities No-code setup & fast deployment: Build your voice agent workflows in minutes without engineering resources. Natural, human-like conversations: Uses advanced NLP, intent detection, sentiment analysis, and optional voice cloning to deliver conversations that feel real. Full call lifecycle handling: Answer inbound calls, route or escalate as needed, make outbound calls for follow-ups, and send follow-up SMS or emails. Seamless integrations: Works with CRMs, helpdesk systems, scheduling tools, and more via API & built-in connectors. Industry-tailored use cases: Real estate, healthcare staffing, clinics, restaurants, car dealerships, recruitment, IT staffing all supported with domain-aware conversational flows. Analytics & optimization: Call recording, transcription, sentiment scoring, metrics dashboards to continually improve performance. Scalable & reliable: Supports concurrent calls, intelligent routing, and dynamic scaling. Compliance & security: Enterprise-level encryption, GDPR compliance, and secure data handling. Benefits & Outcomes Never miss a call or lead: Every inbound call is answered instantly, ensuring prospects are engaged immediately. Reduced response times & converted leads: Automates follow-ups and lead nurturing, converting more conversations into meetings or actions Lower operational costs: Replace or supplement human agents for routine calls, without sacrificing quality. Consistency & brand voice: AI calls remain consistent in tone and messaging, aligned with your brand. Actionable insights: Use conversation data to identify patterns, optimize scripts, and refine your customer interactions. **Who Is the Company Behind ContactSwing?** - **Seller:** [ContactSwing](https://www.g2.com/sellers/contactswing) - **Year Founded:** 2023 - **HQ Location:** Houston, Texas, United States - **LinkedIn® Page:** https://www.linkedin.com/company/contactswing (14 employees on LinkedIn®) ### 22. [ConvoPro](https://www.g2.com/products/convopro/reviews) ConvoPro is a model-agnostic AI agent platform for Salesforce that enables teams to deploy secure, action-oriented AI agents directly inside their CRM. Unlike copilots or chat-only assistants, ConvoPro agents can understand context across Salesforce data, reason over multi-step tasks, and take real actions such as creating and updating records, summarizing cases, routing work, and triggering workflows, all with enterprise-grade controls. **Who Is the Company Behind ConvoPro?** - **Seller:** [ForceMedic Design](https://www.g2.com/sellers/forcemedic-design) - **Year Founded:** 2021 - **HQ Location:** Holt, US - **LinkedIn® Page:** https://www.linkedin.com/company/forcemedic-design/ (10 employees on LinkedIn®) ### 23. [Cotera OS](https://www.g2.com/products/cotera-os/reviews) Cotera is the fastest way to build an AI agent. With Cotera, top teams (like Bilt Rewards, Coterie, Peloton, and Skims) are building AI agents and workflows, automating their complex, high-frequency tasks & processes, saving time and driving major gains on the balance sheet and with customer experiences. Create an agent by typing instructions like you would to a co-worker. Then give it access to hundreds of tools, and watch it work. With first-of-its-kind controls, you not only get an extremely EASY TO USE platform, but: - consistent results - can see what your agent did and why - can set cost controls on agents and processes **Average Rating:** 4.8/5.0 **Total Reviews:** 3 **Who Is the Company Behind Cotera OS?** - **Seller:** [Cotera](https://www.g2.com/sellers/cotera) - **Year Founded:** 2022 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/coterahq/ (17 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Cotera OS's Pros and Cons? **Pros:** - Customer Insights (3 reviews) - Automation (2 reviews) - Customer Support (2 reviews) - Data Management (2 reviews) - Easy Setup (2 reviews) **Cons:** - Data Management (1 reviews) - Inadequate AI Capabilities (1 reviews) ### What Do G2 Reviewers Say About Cotera OS? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **exceptional customer insights** from Cotera OS, enhancing decision-making and operational efficiency across teams. - Users find the **automation features** of Cotera OS invaluable, significantly enhancing efficiency and decision-making across departments. - Users praise the **exceptional customer support** from the Cotera team, facilitating easy setup and actionable insights. - Users highlight the **efficient data aggregation** in Cotera OS, providing real-time insights that enhance company operations. - Users find the **easy setup** of Cotera OS incredibly beneficial, leading to quick implementation across teams. **Cons:** - Users note that Cotera OS lacks **full self-service capabilities** , requiring assistance from a data scientist for feature integration. - Users find the **inadequate AI capabilities** of Cotera OS limit self-service options, requiring additional assistance from data scientists. #### What Are Recent G2 Reviews of Cotera OS? **"[Such a powerful tool](https://www.g2.com/survey_responses/cotera-os-review-10886216)"** **Rating:** 4.5/5.0 stars *— Sean C.* [Read full review](https://www.g2.com/survey_responses/cotera-os-review-10886216) --- **"[Game Changing Tool](https://www.g2.com/survey_responses/cotera-os-review-10771941)"** **Rating:** 5.0/5.0 stars *— Taryn O.* [Read full review](https://www.g2.com/survey_responses/cotera-os-review-10771941) --- ### 24. [Cotool](https://www.g2.com/products/cotool/reviews) Cotool is an AI-powered security operations platform designed to automate and enhance various aspects of cybersecurity workflows. By leveraging customizable AI agents, Cotool enables security teams to streamline detection engineering, incident investigation, and threat hunting processes, thereby reducing manual effort and improving overall efficiency. Key Features and Functionality: - Composable AI Agents: Build and deploy autonomous agents tailored to specific security tasks, transforming manual workflows into repeatable, reliable processes. - Copilots for Interactive Investigations: Utilize interactive agents that assist in ad-hoc investigations and workflows, assembling context across multiple tools to accelerate investigation timelines. - Autonomous Agents for Workflow Automation: Implement trigger-based workflows that execute without human input, monitoring, triaging, and investigating alerts to reduce mean time to response (MTTR). - Detection Engineering: Map detection coverage across your security stack and collaboratively author new detections, converting detection rules into autonomous agents that refine themselves and identify gaps in baseline security coverage. - Seamless Integration: Integrate with existing security and IT tools, including SIEMs, SOARs, ticketing systems, and communication platforms, creating a unified operational fabric. Primary Value and Problem Solved: Cotool addresses common challenges faced by security teams, such as alert fatigue, context switching, and documentation overhead. By automating repetitive tasks and providing AI-driven assistance, Cotool allows security professionals to focus on critical threats and strategic initiatives. The platform's ability to reduce manual effort by up to 90% enhances operational efficiency, improves detection coverage, and accelerates incident response times, ultimately strengthening an organization's security posture. **Who Is the Company Behind Cotool?** - **Seller:** [Cotool](https://www.g2.com/sellers/cotool) - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/cotool-ai (1,509 employees on LinkedIn®) ### 25. [CrackedDevs](https://www.g2.com/products/crackeddevs/reviews) KnowledgeBot is a conversational embodied agent developed by Virginia Tech for the Alexa Prize SimBot Challenge. It is designed to assist users in completing a wide range of daily tasks through natural and interactive dialogue. By integrating neuro-symbolic reasoning, KnowledgeBot effectively processes user instructions and environmental perceptions to perform actions and provide responses. Key Features and Functionality: - Neuro-Symbolic Reasoning: Combines symbolic reasoning with neural-based action planning and prediction modules to interpret and execute complex tasks. - Vision Models: Utilizes semantic segmentation and visual grounding to comprehend and interact with the environment effectively. - Situated Dialogue Module: Facilitates natural and context-aware conversations with users, enhancing the interactive experience. - Task Execution: Capable of carrying out a variety of user-defined tasks by understanding instructions and environmental cues. Primary Value and User Solutions: KnowledgeBot addresses several challenges in the development of intelligent assistive agents, including the vast variety of user-defined tasks, the need for complex reasoning and visual comprehension, and the importance of natural human interaction. By integrating advanced reasoning and vision capabilities, KnowledgeBot offers users an efficient and intuitive assistant for daily task completion, enhancing productivity and user experience. **Who Is the Company Behind CrackedDevs?** - **Seller:** [CrackedDevs](https://www.g2.com/sellers/crackeddevs) - **Year Founded:** 2023 - **HQ Location:** San Fransisco, US - **LinkedIn® Page:** https://linkedin.com/company/crackeddevs (18 employees on LinkedIn®) ## What Is AI Agent Builders Software? [ Agentic AI Software](https://www.g2.com/categories/agentic-ai) ## What Software Categories Are Similar to AI Agent Builders Software? - [AI Agents For Business Operations](https://www.g2.com/categories/ai-agents-for-business-operations) - [AI Chatbots Software](https://www.g2.com/categories/ai-chatbots) - [AI Orchestration Software](https://www.g2.com/categories/ai-orchestration) --- ## How Do You Choose the Right AI Agent Builders Software? ### What You Should Know About AI Agent Builders Software ### AI Agent Builders buying insights at a glance [AI Agent Builders Software](https://www.g2.com/categories/ai-agent-builders) helps organizations design, deploy, and manage autonomous AI agents that can execute tasks, retrieve information, and automate workflows across business systems. These platforms allow teams to configure AI-driven agents that interact with internal [knowledge bases](https://www.g2.com/categories/knowledge-base-software), [CRM systems](https://www.g2.com/categories/CRM), support tools, and operational data sources to perform work such as answering questions, routing requests, completing workflows, or generating responses. As businesses increasingly operationalize generative AI, **AI agent builders** are becoming essential infrastructure for teams that want AI to move beyond experimentation and into everyday business processes. Organizations often adopt **AI agent builder software** to reduce manual work, streamline repetitive workflows, and give employees or customers faster access to accurate information. Across G2 user reviews, buyers frequently highlight benefits such as easier workflow automation, improved access to internal knowledge, and the ability to deploy AI-driven assistants without extensive engineering support. The **best AI agent building tools** stand out when they combine flexible automation logic, strong integrations, and reliable AI responses that support real operational tasks. In practice, the most effective **AI agent builder platforms** function as an automation layer that connects systems, workflows, and AI reasoning within a single environment. Pricing varies depending on automation complexity, agent usage volume, integration requirements, and governance features. Many vendors offer tiered subscription plans combined with usage-based pricing tied to messages, [API](https://www.g2.com/categories/api-development) calls, or workflow executions. Organizations evaluating **AI agent builder platforms** often also factor in implementation support, model usage costs, and long-term administration effort when estimating the total cost of ownership. ### **Top 5 FAQs from software buyers:** - What features should I look for in the best AI agent builders? - How do AI agent builder tools connect with internal business systems? - What’s the difference between AI agent builder software and chatbot platforms? - How do AI agent builder platforms manage automation workflows and decision logic? - How long does it take to deploy AI agents using modern AI agent builders? G2's top-rated AI Agent Builders, based on verified reviews, include [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews), [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews), [Lindy](https://www.g2.com/products/lindy-lindy/reviews), [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews), and [Workato](https://www.g2.com/products/workato/reviews). [(Source 2)](https://company.g2.com/news/g2-winter-2026-reports) ### What are the top-reviewed AI Agent Builders on G2? Based on review volume in this category, these are the most-reviewed products: [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) - Reviews: 625 - Satisfaction: 99 - Market Presence: 99 - G2 Score: 99 [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews) - Reviews: 98 - Satisfaction: 66 - Market Presence: 69 - G2 Score: 68 [Lindy](https://www.g2.com/products/lindy-lindy/reviews) - Reviews: 116 - Satisfaction: 79 - Market Presence: 55 - G2 Score: 67 [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) - Reviews: 18 - Satisfaction: 53 - Market Presence: 75 - G2 Score: 64 [Workato](https://www.g2.com/products/workato/reviews) - Reviews: 37 - Satisfaction: 64 - Market Presence: 54 - G2 Score: 59 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in AI Agent Building Tools #### **Feedback Pros: What Users Consistently Appreciate** - **Low-code workflow builders enable rapid creation of AI-powered agents** - _"The low-code/no-code platform makes it incredibly easy to build and deploy AI agents without extensive programming knowledge. I really appreciate the pre-built agent frameworks and the seamless integration with our existing CRM and enterprise systems. The enterprise-grade security and built-in responsible AI features give us confidence in deploying these agents in production. The multi-agent automation capabilities have significantly streamlined our workflows, especially for customer support and data analysis tasks."_ - [Harsh Chaudhari](https://www.g2.com/products/lyzr-lyzr-ai/reviews/lyzr-ai-review-12226428), Lyzr Review - **Strong integrations with CRM, support platforms, and internal knowledge sources** - _"Lindy's flexibility is its biggest flex. Unlike other automation tools that are super clunky and rigid, Lindy lets you build 'agents' that actually get the context. I use it to completely automate our new client onboarding process. When a new contract is signed in our CRM, a Lindy is triggered: it sends a welcome email, sets up a Google Drive folder, adds the client to our project tool, and schedules the first kick-off meeting. The integrations are rock solid, and the ability to chain multiple complex actions together is straight-up game-changing."_ - [Osmar Gonçalves](https://www.g2.com/products/lindy-lindy/reviews/lindy-review-11783253), Lindy Review - **Automation reduces repetitive support tasks and accelerates internal workflows** - _"I like using UiPath Agentic Automation because it allows me to build intelligent automation workflows that go beyond simple rule-based RPA. It helps me automate repetitive tasks and handle data and documents more efficiently. I really appreciate how easily it combines RPA with AI-driven decision making, making workflows more flexible and intelligent. It's powerful but still easy to learn and experiment with. I also like how well everything is integrated into a single platform, making it easy to build, test, and scale automations without much friction. The learning resources and community support are another big plus."_ - [SUPREETH GOLLAPALLY](https://www.g2.com/products/uipath-agentic-automation/reviews/uipath-agentic-automation-review-12293268), UiPath Agentic Automation Review #### **Cons: Where Many Platforms Fall Short** - **Advanced workflow configuration can require technical knowledge or experimentation** - _"While it promises low-code automation, creating advanced workflows often requires a deeper understanding of the platform, leading to a steep learning curve."_ - [Sumit Kumar Shukla](https://www.g2.com/products/ibm-watsonx-orchestrate/reviews/ibm-watsonx-orchestrate-review-11965989), IBM watsonx Orchestrate Review - **Initial setup and integration planning may take longer than expected** - _"The main thing to be aware of is that while the basic functionality is very straightforward, there's a bit of a steep learning curve for the more advanced features and custom integrations. The platform is incredibly powerful, which also means it can be a little overwhelming at first. For someone who isn't very technical, creating a more complex "skill flow" can take some time to get the hang of. Also, while the integrations are a big selling point, the initial setup process for some of our non-IBM applications was a bit more complex than we anticipated. It's nothing that can't be figured out, but it's worth noting."_ - [Shubham Verma](https://www.g2.com/products/ibm-watsonx-orchestrate/reviews/ibm-watsonx-orchestrate-review-11521587), IBM watsonx Orchestrate - **Prompt tuning and agent logic refinement require ongoing monitoring** - _"Prompts need a lot of tuning, especially when agents are exposed via customer-facing portals, which can expect any kind of open questions. But once turned, it works great."_ - [Verified User](https://www.g2.com/products/salesforce-agentforce/reviews/salesforce-agentforce-review-12213295), Salesforce Agentforce Review ### Expert Takeaway AI agent builders deliver the most value when organizations treat them as workflow orchestration platforms rather than simple conversational tools. The strongest implementations combine AI reasoning with structured automation logic, allowing teams to route requests, trigger actions, retrieve data, and complete tasks without manual intervention. Review sentiment reflects strong overall adoption. The category maintains a high average star rating above 4.5, alongside strong usability signals, including high scores for ease of use, ease of setup, and quality of support. Likelihood to recommend also trends high, suggesting that many buyers see clear productivity gains once agents are deployed successfully. Friction typically occurs during the transition from pilot use cases to production-scale automation. Teams that struggle often underestimate the effort required to structure workflows, define agent responsibilities, and maintain prompt or knowledge configurations. High-performing teams approach **AI agent builder software** with clear automation goals, defined data sources, and governance rules that keep agents reliable as usage grows. The **best AI agent builders** tend to succeed when they balance flexibility with operational reliability. Strong **AI agent-building tools** enable teams to iterate quickly while maintaining control over workflows, integrations, and response quality. As adoption grows across IT, operations, customer support, and revenue teams, **AI agent builder platforms** are increasingly becoming foundational infrastructure for organizations looking to operationalize AI-driven automation. ### AI Agent Builders Software FAQs #### Can I build an AI agent on my own? Yes, you can build an AI agent on your own using modern AI agent builder platforms. Many tools now provide visual workflows, prebuilt integrations, and natural-language configuration that allow teams to design and deploy agents without writing extensive code. Most platforms include features such as prompt configuration, workflow logic, API integrations, and deployment tools for chat interfaces or internal automation. This allows teams to create agents that answer questions, automate tasks, retrieve knowledge, or trigger workflows across business systems. However, building reliable agents usually requires planning around data sources, integrations, and workflow logic. Many organizations still rely on **ai agent builder software** to simplify deployment, manage integrations, and maintain governance as usage grows. #### Which AI tool is best for building AI agents and automation projects? Some of the strongest platforms for building AI agents and automation workflows include: - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) – Designed for enterprise automation and AI-powered agents that connect deeply with Salesforce data and business processes. - [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews) – Combines AI agents with robotic process automation (RPA) to automate complex enterprise workflows. - [Lindy](https://www.g2.com/products/lindy-lindy/reviews) – Focused on building task-oriented AI assistants that automate operational workflows and productivity tasks. - [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) – Enterprise AI development platform for building and deploying AI agents, models, and automation pipelines. - [Workato](https://www.g2.com/products/workato/reviews) – Integration-led automation platform that allows teams to orchestrate AI-driven workflows across business applications. - [Zapier](https://www.g2.com/products/zapier/reviews) – Popular no-code automation platform used to connect thousands of applications and automate tasks without coding. The best option typically depends on your environment, integration requirements, and whether you need enterprise-scale automation or lightweight workflow orchestration. #### What’s the best no-code AI agent builder software for website chatbots? Several platforms allow teams to build conversational AI agents and deploy them to websites without coding. Here are some widely used options: - [Voiceflow](https://www.g2.com/products/voiceflow/reviews) – Popular for building conversational AI assistants and deploying chat or voice agents across websites and digital channels. - [CloseBot](https://www.g2.com/products/closebot/reviews) – Designed for creating AI-powered chat agents for websites and customer support automation. - [Stack AI](https://www.g2.com/products/stack-ai/reviews) – Visual builder that helps teams design AI workflows and deploy AI-powered assistants without code. - [SmythOS](https://www.g2.com/products/smythos/reviews) – Platform focused on building autonomous AI agents with visual workflows and automation logic. - [Lindy](https://www.g2.com/products/lindy-lindy/reviews) – Enables teams to create task-based AI assistants that automate operational processes and messaging workflows. These tools focus on **visual workflow builders, prompt configuration, and easy chatbot deployment** , which makes them suitable for teams that want to launch AI agents without writing code. #### Which AI agent builder tools integrate with Slack and HubSpot? Some AI agent builder platforms are specifically designed to integrate with communication and CRM tools such as Slack and HubSpot. Examples include: - [Zapier](https://www.g2.com/products/zapier/reviews) – Connects Slack, HubSpot, and thousands of other applications to automate workflows and data synchronization. - [Workato](https://www.g2.com/products/workato/reviews) – Enterprise integration platform used to automate processes across applications like CRMs, messaging tools, and operational systems. - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) – Supports deploying AI agents within Slack to interact with teams directly in their collaboration environment. These platforms work well for organizations that want AI agents to trigger workflows, update CRM records, or respond to internal requests directly inside collaboration tools. #### Which AI agent builder platforms are best for workflow automation? Several AI agent builder platforms are designed specifically for workflow automation and process orchestration. Here are some of the most commonly used options: - [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews) – An Enterprise automation platform that combines AI agents with robotic process automation to manage complex business workflows. - [Workato](https://www.g2.com/products/workato/reviews) – Known for orchestrating cross-application workflows and integrating automation across large enterprise tech stacks. - [Zapier](https://www.g2.com/products/zapier/reviews) – No-code automation platform that connects thousands of apps to automate repetitive tasks and workflows. - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) – Designed to automate workflows across CRM, support, and operational processes using AI agents. These platforms are typically used to automate tasks such as customer support routing, sales follow-ups, internal approvals, onboarding workflows, and operational task automation. ### Sources 1. [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) 2. [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) Researched By: [Bijou Barry](https://research.g2.com/insights/author/bijou-barry) Last updated on March 16, 2026