# Best  AI Agent Builders Software - Page 15

*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&#39;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 (1,158 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 (6,110 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 (1,578 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 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,284 reviews) | — | "[Powerful Lakehouse for Big Data, Collaboration, and Efficient Pipelines](https://www.g2.com/survey_responses/databricks-review-12946286)" |
| 5 | [ServiceNow AI Agents](https://www.g2.com/products/servicenow-ai-agents/reviews) | 4.3/5.0 (393 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)" |
| 6 | [Zapier](https://www.g2.com/products/zapier/reviews) | 4.5/5.0 (2,056 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 | [CloseBot](https://www.g2.com/products/closebot/reviews) | 4.8/5.0 (172 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)" |
| 8 | [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)" |
| 9 | [Jotform AI Agents](https://www.g2.com/products/jotform-ai-agents/reviews) | 4.5/5.0 (621 reviews) | No-code conversational agent deployment with trainable knowledge bases | "[Economical and Efficient Customer Support Solution](https://www.g2.com/survey_responses/jotform-ai-agents-review-13029696)" |
| 10 | [Asana](https://www.g2.com/products/asana/reviews) | 4.4/5.0 (13,187 reviews) | AI-automated cross-team workflow orchestration | "[Intuitive Dashboards and Seamless AI Integration](https://www.g2.com/survey_responses/asana-review-13045059)" |

---
## 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




## How Many  AI Agent Builders Software Products Does G2 Track?
**Total Products under this Category:** 373

### 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**: UiPath Agent Builder (+3.93%) - Among all products in this category, UiPath Agent Builder recorded the largest rating increase compared to last month
*Last updated: July 01, 2026*


## How Does G2 Rank  AI Agent Builders Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 83,300+ Authentic Reviews
- 373+ 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)


---

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---

## What Are the Top-Rated  AI Agent Builders Software Products in 2026?
### 1. [TheAgentic LLM](https://www.g2.com/products/theagentic-llm/reviews)
TheAgentic is the most accurate LLM for AI Agents. TheAgentic empowers your startup to build intelligent AI agents with unmatched accuracy in multi-step reasoning, function-calling, and structured outputs. Discover how you can transform your AI workflows using our industry-leading models, and leverage our platform to create custom AI solutions tailored to your needs.



**Who Is the Company Behind TheAgentic LLM?**

- **Seller:** [TheAgentic](https://www.g2.com/sellers/theagentic)
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/the-agentic/ (48 employees on LinkedIn®)






### 2. [The MindOps](https://www.g2.com/products/the-mindops/reviews)
The MindOps is an AI workforce platform designed to streamline and enhance modern business operations. It enables organizations to design, deploy, and manage AI agents that handle support, sales, and back-office workflows, allowing for rapid implementation and scalability across teams while maintaining human oversight. Key Features and Functionality: - No-Code Agent Studio: Create, test, and deploy AI agents using natural language prompts without the need for coding expertise. - Centralized Command Center: Oversee all agents, queues, and escalations from a single console, ensuring efficient management. - Built-In Governance: Implement granular access controls, approval workflows, and safety checks to maintain operational integrity. - System-Grade Memory: Capture decisions and maintain a searchable knowledge base for continuous learning and improvement. - Human Handoff: Seamlessly route complex cases to human operators with full context, ensuring quality and compliance. - Flexible Model Integration: Utilize the most suitable AI models for specific tasks and switch models as needed. Primary Value and Solutions Provided: The MindOps addresses the challenges of operational inefficiencies and high costs by automating repetitive tasks and processes. It offers 24/7 coverage across time zones, accelerates cycle times by over threefold, and reduces operational costs by up to 60%. By transforming heavy operations into intelligent structures, The MindOps empowers businesses to achieve greater agility, improved margins, and restored executive control.



**Who Is the Company Behind The MindOps?**

- **Seller:** [The MindOps](https://www.g2.com/sellers/the-mindops)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 3. [TheNoah.ai](https://www.g2.com/products/thenoah-ai/reviews)
TheNoah.ai represents the first of its kind full-stack and fully pre‑trained, zero‑code AI platform as a service for all domains, industry verticals, and thousands of use cases. It delivers enterprise‑grade automation using thousands of data, models, agents, and actionable insights. Built for domain experts, TheNoah.ai removes the usual challenges of AI adoption by providing plug‑and‑play capabilities that activate immediately. Core technical capabilities: Library of 1000s of pre-trained models, data sets, pre-built agents, and actionable insights for common workflows. Model orchestration to manage and sequence AI/ML models. Robust no-code UI for defining workflows without programming. Enterprise-ready governance features, including access control, audit trails, and performance monitoring. Enables domain experts to deploy agents for automating data processing, generating insights, monitoring KPIs, and integrating with existing systems via APIs or connectors. Real-world application: Business teams in operations, strategy, finance, customer support, and other units can define use cases, select appropriate agents or models, configure them, test with real data or simulations, and move into production with minimal technical overhead. TheNoah.ai’s value: Reduced time to market– Delivering results in minutes instead of months. Lower cost – Eliminating the need to hire large teams of data scientists or ML engineers. Reduced risk – Minimizing overfitting and bias with tested, pre-trained models. Scalability – Enabling easy replication and adaptation of agents and workflows. Transparency &amp; support: TheNoah.ai provides full transparency with performance metrics, audit logs, and user role management. It also offers comprehensive support, including onboarding, templates, detailed documentation, and responsive support channels. Discover the latest features for smarter AI workflows including Agent flow,chatbots, agent governance,advance document search,agent overview and app experience.



**Who Is the Company Behind TheNoah.ai?**

- **Seller:** [TheNoah.ai](https://www.g2.com/sellers/thenoah-ai)
- **Year Founded:** 2024
- **HQ Location:** Pune, IN
- **Twitter:** @thenoahai (10 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/thenoahai/ (6 employees on LinkedIn®)
- **Phone:** 9175080264






### 4. [Tinstra](https://www.g2.com/products/tinstra/reviews)
Tinstra is a curated marketplace for AI agents, workflows, and skills, built for the operators who run real businesses — dentists, plumbers, real-estate offices, legal practices, restaurants, salons, contractors, and the teams that support them. Every listing is reviewed and approved before it goes live. You can install agents yourself, or hand the work to a certified expert who will deploy and tune them for you.



**Who Is the Company Behind Tinstra?**

- **Seller:** [Tinstra](https://www.g2.com/sellers/tinstra)
- **Year Founded:** 2026
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/tinstra (1 employees on LinkedIn®)






### 5. [Todvob](https://www.g2.com/products/todvob/reviews)
Todvob is an AI Agent Builder that helps businesses automate customer interactions through a chatbot widget across multiple platforms—all managed from a single, easy-to-use dashboard. Whether for websites, Messenger, WhatsApp, Telegram, or other social channels, Todvob empowers you to create intelligent AI chatbots that enhance engagement, boost conversions, sales and provide 24/7 customer support effortlessly. 💡 Key Features: AI-powered chatbot builder with no technical skills required Website Chat Widget Multi-platform support: Website, Messenger, WhatsApp, Telegram &amp; more Voice Chat Train AI using website link, documents (PDF, DOC, Excel), and text Automate responses and streamline customer interactions Improve engagement, lead generation, and customer satisfaction Virtual Card as Chatbot, share Public Link to anyone.



**Who Is the Company Behind Todvob?**

- **Seller:** [Todvob](https://www.g2.com/sellers/todvob)
- **Year Founded:** 2023
- **HQ Location:** London, GB
- **LinkedIn® Page:** https://linkedin.com/company/todvob (3 employees on LinkedIn®)






### 6. [TraceAgently](https://www.g2.com/products/traceagently/reviews)
TraceAgently is a real-time observability and monitoring platform designed for AI agents, providing developers with comprehensive insights into their agents&#39; operations. By integrating TraceAgently, users can monitor every thought process, tool invocation, and response of their AI agents, ensuring optimal performance and cost management. The platform supports seamless integration with various frameworks, including LangChain, CrewAI, and custom agent loops, requiring only minimal code modifications. Key Features and Functionality: - Real-Time Trace Viewer: Observe live streams of your agent&#39;s activities, including thoughts, tool calls, and responses, with detailed timelines, token counts, and cost per step. - Automatic Kill-Switch: Set cost limits per trace to automatically terminate runaway agents that exceed predefined budgets, preventing unexpected expenses. - Loop Detection: Identify and halt infinite loops by detecting repetitive tool calls, with configurable thresholds to suit specific needs. - Trace Comparison: Compare different runs side-by-side to analyze changes in cost, token usage, duration, and event count, facilitating performance optimization. - Magic Fix Pro: Utilize AI-driven diagnostics to automatically identify and suggest fixes for agent failures, streamlining the debugging process. - Cost Tracking: Monitor token usage and estimate costs per trace to maintain budget control and resource allocation. - Email Alerts Pro: Receive instant notifications when kill-switches are activated or loops are detected, enabling prompt intervention. - Error Pattern Detection: Automatically group and rank recurring errors across runs to identify and address systemic issues efficiently. Primary Value and Problem Solved: TraceAgently empowers developers to maintain full visibility and control over their AI agents, mitigating risks associated with runaway processes and unforeseen costs. By providing real-time monitoring, automatic intervention mechanisms, and comprehensive diagnostics, the platform ensures that AI agents operate efficiently, reliably, and within budget constraints. This proactive approach to agent observability enhances performance, reduces downtime, and fosters trust in AI deployments.



**Who Is the Company Behind TraceAgently?**

- **Seller:** [TraceAgently](https://www.g2.com/sellers/traceagently)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 7. [Tray.ai](https://www.g2.com/products/tray-ai/reviews)
Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates the need for disparate tools, enabling seamless integration and automation of complex business processes. Our platform supports all AI, integration, and automation initiatives from a single place. Developers benefit from a code-first, headless environment, freeing them from mundane tasks and allowing focus on business outcomes. The Tray Build IDE and AI Palette accelerate delivery for business technologists, providing easy access to 3rd party connectors and native AI capabilities. As enterprises strive for competitive advantage, our platform helps IT teams deploy AI effectively, connecting systems, automating processes, and integrating data to handle even the most demanding AI use cases. Built for high-change environments, Tray.ai excels in rapid prototyping, testing, and deployment. The fastest way to turn AI into business performance.™


**Average Rating:** 4.5/5.0
**Total Reviews:** 153

**Who Is the Company Behind Tray.ai?**

- **Seller:** [Tray.io](https://www.g2.com/sellers/tray-io)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @tray (3,059 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2659008/ (139 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 56% Mid-Market, 34% Small-Business


#### What Are Tray.ai's Pros and Cons?

**Pros:**

- Easy Integrations (8 reviews)
- Ease of Use (7 reviews)
- Automation (5 reviews)
- Customer Support (5 reviews)
- Integrations (5 reviews)

**Cons:**

- Missing Features (4 reviews)
- Complex Pricing (3 reviews)
- Expensive (3 reviews)
- Learning Curve (3 reviews)
- Complexity (2 reviews)


### What Do G2 Reviewers Say About Tray.ai?
*AI-generated summary from verified user reviews*

**Pros:**

- Users highlight the **easy integrations** with numerous connectors, simplifying workflow automation and enhancing operational flexibility.
- Users highlight the **ease of use** of Tray.ai, making setup and automation intuitive and accessible for all.
- Users value the **automation capabilities** of Tray.ai, enabling efficient workflows and seamless integration across platforms.
- Users value the **incredibly helpful support community** of Tray.ai, enhancing their overall experience and solutions.
- Users value the **wide-ranging integrations** of Tray.ai, enabling seamless connections across various platforms and APIs.

**Cons:**

- Users find **missing features** in Tray.ai, such as better version control and enhanced data visibility in workflows.
- Users find the **complex pricing structure** and frequent changes challenging, complicating planning and usage.
- Users find Tray.ai **expensive** and complicating, especially with inconsistent pricing and limited features for version control.
- Users experience a **steep learning curve** with Tray.ai, making it challenging for newcomers to navigate its functionalities.
- Users find the **complexity of the rules** in Tray.ai challenging, especially for newcomers and complicated scenarios.

#### What Are Recent G2 Reviews of Tray.ai?

**"[Easy-to-Identify Logs and Audit Trails](https://www.g2.com/survey_responses/tray-ai-review-12530158)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Information Technology and Services*

[Read full review](https://www.g2.com/survey_responses/tray-ai-review-12530158)

---

**"[An Integration tool](https://www.g2.com/survey_responses/tray-ai-review-11278803)"**

**Rating:** 5.0/5.0 stars
*— Omji P.*

[Read full review](https://www.g2.com/survey_responses/tray-ai-review-11278803)

---


#### What Are G2 Users Discussing About Tray.ai?

- [What is Tray.io used for?](https://www.g2.com/discussions/what-is-tray-io-used-for) - 1 comment
- [What does Tray.io do?](https://www.g2.com/discussions/what-does-tray-io-do)
- [Who owns tray io?](https://www.g2.com/discussions/who-owns-tray-io)
- [How much does tray IO cost?](https://www.g2.com/discussions/how-much-does-tray-io-cost)
- [What is Tray io?](https://www.g2.com/discussions/what-is-tray-io) - 1 comment

### 8. [Treasure AI Studio](https://www.g2.com/products/treasure-ai-studio/reviews)
Treasure AI Studio is a conversational AI workspace that lets teams explore customer data, build segments, design journeys, and launch campaigns using natural language — no coding required. As the central interface to Treasure AI&#39;s Agentic Experience Platform, Studio connects users to AI agents across web, desktop, mobile, CLI, and voice. Over 30 pre-built skills compress tasks that once took months into minutes. Every AI decision is transparent and reviewable, keeping humans in control of high-impact actions.



**Who Is the Company Behind Treasure AI Studio?**

- **Seller:** [Treasure AI](https://www.g2.com/sellers/treasure-ai)
- **Company Website:** https://www.treasure.ai/
- **Year Founded:** 2011
- **HQ Location:** Mountain View, CA
- **Twitter:** @treasuredata (7,887 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2569123/ (518 employees on LinkedIn®)






### 9. [Trylli AI](https://www.g2.com/products/trylli-ai/reviews)
Trylli AI is an advanced voice-to-voice artificial intelligence system designed to revolutionize business communications by automating tasks such as sales calls, customer support, appointment reminders, and feedback collection. By creating intelligent, multilingual voice agents that operate around the clock, Trylli AI ensures businesses can engage with their customers more efficiently and effectively. Key Features and Functionality: - Customizable AI Voice Agents: Users can easily create and configure AI agents tailored to specific objectives, such as making sales calls, sending reminders, collecting feedback, or providing support. - Multilingual Support: The platform supports over 25 languages, enabling businesses to communicate with a diverse customer base. - High Accuracy and Speed: With a 99.3% accuracy rate and operations up to five times faster than traditional methods, Trylli AI enhances the efficiency of voice communications. - 24/7 Availability: AI agents are available around the clock, ensuring continuous customer engagement without the limitations of human working hours. - User-Friendly Interface: The platform offers a no-code setup, making it accessible for both engineers and business users to create and manage voice agents effortlessly. - Integration Capabilities: Trylli AI is designed to integrate seamlessly with over 100 CRM, payment, and scheduling systems, streamlining workflows and data management. Primary Value and Solutions Provided: Trylli AI addresses the challenges businesses face in maintaining consistent and effective voice communication with customers. By automating routine calls and interactions, it reduces the workload on human staff, minimizes errors, and ensures timely responses. The multilingual support and high accuracy rates enhance customer satisfaction and engagement. Additionally, the platform&#39;s scalability and integration capabilities allow businesses to adapt and grow without compromising communication quality. Overall, Trylli AI empowers organizations to optimize their voice communication strategies, leading to improved operational efficiency and stronger customer relationships.



**Who Is the Company Behind Trylli AI?**

- **Seller:** [Trylli AI](https://www.g2.com/sellers/trylli-ai)
- **Year Founded:** 2025
- **HQ Location:** Pune, IN
- **LinkedIn® Page:** https://www.linkedin.com/company/thetrylliai/ (2 employees on LinkedIn®)






### 10. [Typeface Arc Forge](https://www.g2.com/products/typeface-arc-forge/reviews)
Arc Forge allows IT teams to support marketing teams by extending Typeface into existing systems, building custom agents for complex workflows, and maintaining full control at every layer.



**Who Is the Company Behind Typeface Arc Forge?**

- **Seller:** [Typeface](https://www.g2.com/sellers/typeface-fd1ebb06-c80e-4253-9bc6-f6628d66c949)
- **Year Founded:** 2022
- **HQ Location:** Palo Alto, CA, US
- **LinkedIn® Page:** https://www.linkedin.com/company/typefaceai (249 employees on LinkedIn®)






### 11. [Unifill AI](https://www.g2.com/products/unifill-ai/reviews)
Unifill AI is a technology company dedicated to revolutionizing business operations through custom artificial intelligence solutions. By automating workflows and enhancing data-driven decision-making, Unifill AI empowers organizations to operate more efficiently and scale effectively. Their expertise spans various industries, providing tailored AI implementations that integrate seamlessly with existing systems. Key Features and Functionality: - AI Chatbot Solutions: Develops intelligent chatbots that offer 24/7 assistance across websites, applications, and customer touchpoints, integrated with company data and workflows. - Tool Integration &amp; Custom API Bridges: Connects various applications, databases, and platforms through customized automation flows, ensuring cohesive operations. - MCP Server &amp; AI Model Deployment: Hosts and fine-tunes AI models on client infrastructure, optimized for specific industry requirements. - Centralized Social &amp; Blog Poster: Manages content distribution across multiple platforms from a single dashboard, featuring smart scheduling and AI-generated content. - Automated Email Campaigns: Creates personalized email sequences triggered by user behavior, utilizing AI for content generation and optimization. - AI Insights from Data: Provides natural language interfaces to databases, enabling instant insights and data-driven decisions. Primary Value and Solutions: Unifill AI addresses the challenges of manual processes and fragmented systems by delivering AI-driven automation that enhances operational efficiency. Their solutions reduce manual workload, minimize errors, and enable teams to focus on strategic initiatives. By integrating AI into existing workflows, Unifill AI helps businesses scale smarter and grow faster, transforming operations to meet the demands of a dynamic market.



**Who Is the Company Behind Unifill AI?**

- **Seller:** [Unifill AI](https://www.g2.com/sellers/unifill-ai)
- **Year Founded:** 2023
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/unifill-ai/ (2 employees on LinkedIn®)






### 12. [Upsolve AI](https://www.g2.com/products/upsolve-ai/reviews)
Upsolve AI is the platform for deploying governed, grounded, and trustworthy AI data agents to your internal teams or external customers. It helps data teams move past the broken self-serve BI promise by combining the conversational power of large language models with the rigor of a robust semantic layer, rich business context, and built-in evaluation and observability to put agent and context improvements on a flywheel. End users get accurate answers while the data team stays in control. The platform has two complementary components: the Upsolve Data Agent and the Upsolve Agent Context Studio. 1. The Upsolve Data Agent. The Upsolve Data Agent does what a good data analyst does. It answers business questions in natural language, asks clarifying questions when a request is ambiguous, generates charts and reports on the fly, and helps users explore the underlying data without writing SQL. These analyst behaviors come built into the agent itself. What the Upsolve Data Agent does: Conversational, natural-language Q&amp;A over your data, with built-in text-to-SQL Multi-step reasoning across datasets, generate interactive charts on-demand(30+ chart types: bar, line, pie, scatter, heatmap, funnel, and more), auto-generated reports and summaries tailored to a user&#39;s role (exec, PM, ops, support, finance), conversational drill-down and follow-up turns in the same thread. The Upsolve Data Agent is designed to be easily customizable. We don&#39;t believe in an out-of-the-box data agent. Data agents are only useful and reliable with rich context and when assessed against your own performance benchmarks. A generic LLM connected to a database produces generic answers and hallucinated metrics. To produce true, traceable, and transparent answers about your business, the agent needs three more things, and that is where the Data Agent Studio comes in. 2. Upsolve Data Agent Studio. The Data Agent Studio is the place for your team to make the Data Agent accurate, reliable, and trustworthy. It is built on three layers: Data Layer, Context Layer, and Trust and Evals Layer. Data Layer: OOTB database connectors + Cockpit for Semantic Layer construction Database connectors for ClickHouse, Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, and other major data warehouses. Robust data governance with Multi-tenant architecture with row- and column-level permissioning. For teams that don&#39;t have a unified semantic layer model, the Cockpit tool provides a guided and guardrailed interface that takes your team from fragmented data to a clean, AI-ready semantic layer in a week, instead of the six to eight months a typical V1 takes. Context Layer: your data agent needs a unified, auto-curated, and auto-refreshed context layer. The Context Layer connects your files, docs, and systems (Notion, Confluence, Google Drive, internal wikis, product release notes, dbt files, data catalogs, metric glossaries) and curates the information the agent needs to understand the business behind the numbers. It captures product launches, definition changes, ontology, naming conventions, and team-specific business logic so a query like &quot;usage spiked last week&quot; turn into &quot;usage spiked last week, and this correlates with Tuesday&#39;s Pro plan launch&quot;. The Context Layer scans for updates across systems of records connected to it, flags context gaps, and suggests updated. Humans always in the loop. Trust and Evals Layer: Testing, end-of-end observability, and evaluations according to your benchmarks. Sandbox environment for pre-deployment testing, plus production logs after launch. Full LLM observability: every prompt, tool call, model used, retrieved context, and reasoning step is logged, traceable, and reviewable. Built-in evaluations: define gold-standard queries and answers, run tests, and catch agent drift with in-built LLM-as-a-judge evaluators before stakeholders. This system then creates a self-improving feedback loop when corrections from your team feed back into the agent&#39;s eval set so quality compounds over time. Together, those three Data Agent Studio components turn a generic agent into one that produces accurate, reliable, and trustworthy answers your team can defend. Delivery and deployment: The Upsolve Agentic Dashboard is a conversation-driven exploration surface for end users, with 30+ chart types, interactive filters, drill-down, PDF export, scheduled email, and version history. End users can save generated charts to a personal dashboard or simply tell the agent their role and have it auto-build a full dashboard for that persona, solving the blank-page problem typical of self-serve BI tools. SSO, role-based access control, and audit logging are included. The same Data Agent you customized can be accessed by your users wherever they already work. Embedded inside your own product as customer-facing analytics for B2B SaaS as an iFrame or React component; deploy into Slack and Microsoft Teams as in-channel data bot; access in Claude, ChatGPT, Cursor, and any MCP-compatible client to get data while you work and stage multi-agent workflows; or any custom application via REST API. Common use cases: Internal self-service business intelligence for data teams that don&#39;t want to be a ticket queue. Customer-facing embedded analytics for B2B SaaS products. Conversational analytics, generative BI (GenBI), and agentic BI deployments AI-powered reporting and operational analytics for ops, finance, support, and product. Multi-tenant SaaS analytics with row-level security. Looker, Tableau, Power BI alternatives for teams that want an AI-native approach. Why Upsolve AI AI-native architecture. Upsolve was built around the agent from day one, not retrofitted onto a legacy BI tool. Data team in control. The semantic layer, business context, and evals all live with your team, not buried inside a black-box LLM. Fast time-to-value. Cockpit takes you from fragmented data to a working semantic layer in a week. Real evaluation. Most &quot;AI for BI&quot; tools skip evals. Upsolve makes them first-class. Build in Studio, access anywhere. The same agent across internal dashboards, Slack, Teams, your product, and MCP-compatible clients. Enterprise-ready. SSO, role-based access control, multi-tenant governance, audit logging, and full observability included. Built for modern data and AI stacksUpsolve plugs into Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL. It works alongside dbt, existing semantic layers, and your data catalog. The Data Agent can be invoked from Claude, ChatGPT, Cursor, or any MCP-compatible client, making it easy to compose multi-agent workflows where Upsolve handles the data analysis step. YC W24.


**Average Rating:** 4.8/5.0
**Total Reviews:** 15

**Who Is the Company Behind Upsolve AI?**

- **Seller:** [Upsolve AI](https://www.g2.com/sellers/upsolve-ai)
- **Company Website:** https://upsolve.ai/
- **Year Founded:** 2023
- **HQ Location:** London, GB
- **LinkedIn® Page:** https://www.linkedin.com/company/upsolveai/ (4 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 60% Small-Business, 27% Mid-Market


#### What Are Upsolve AI's Pros and Cons?

**Pros:**

- Ease of Use (8 reviews)
- Useful (4 reviews)
- Customer Support (3 reviews)
- Insights (3 reviews)
- Time-saving (3 reviews)

**Cons:**

- Limited Options (2 reviews)
- Usage Limitations (2 reviews)
- Complexity (1 reviews)
- Learning Curve (1 reviews)
- Learning Difficulty (1 reviews)


### What Do G2 Reviewers Say About Upsolve AI?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **ease of use** of Upsolve AI, benefiting from a straightforward setup and streamlined dashboard creation.
- Users appreciate the **effective integration** of Upsolve AI, significantly simplifying dashboard creation and enhancing metric visibility.
- Users commend Upsolve AI&#39;s **excellent customer support** , appreciating their helpfulness and consistent problem-solving abilities.
- Users value the **easy analytics and insights** from Upsolve AI, enabling effective customer communication and project tracking.
- Users value the **time-saving benefits** of Upsolve AI, quickly transforming hours of work into mere seconds.

**Cons:**

- Users face **limited options** for customization and navigation, impacting functionality and integration in Upsolve AI.
- Users face **usage limitations** with Upsolve AI, impacting efficiency and flexibility in dashboard customization and chart loading.
- Users find the **analysis complexity** of Upsolve AI requires multiple iterations for desired results, which can be frustrating.
- Users find the **learning curve steep** , needing time to grasp the various UI configuration options available.
- Users find the **learning difficulty** of Upsolve AI challenging due to the numerous options for UI configuration.

#### What Are Recent G2 Reviews of Upsolve AI?

**"[Streamlined Dashboard Creation with Exceptional Support](https://www.g2.com/survey_responses/upsolve-ai-review-11873474)"**

**Rating:** 4.5/5.0 stars
*— Sahil S.*

[Read full review](https://www.g2.com/survey_responses/upsolve-ai-review-11873474)

---

**"[Exactly What We Needed for Embedded Analytics Without Rebuilding Our Stack](https://www.g2.com/survey_responses/upsolve-ai-review-11446143)"**

**Rating:** 5.0/5.0 stars
*— Adarsh K.*

[Read full review](https://www.g2.com/survey_responses/upsolve-ai-review-11446143)

---



### 13. [Ushur](https://www.g2.com/products/ushur/reviews)
Ushur is a purpose-built Agentic CX Automation platform designed to streamline journeys across the entire customer lifecycle,&amp;nbsp; specifically for regulated industries. We set the standard for best-in-class self-service customer experiences, enabling customers to start, navigate, and complete complex requests end to end—without handoffs, callbacks, or loss of context. Designed from the ground up for healthcare, insurance, and financial services, Ushur AI agents operate at the highest levels of security, compliance, auditability, and control, ensuring trust is never compromised. The platform uniquely combines intelligent, agentic automation with seamless human handoff and industry-leading outbound capabilities, enabling proactive, two-way engagement across text, email, voice, and chat. At enterprise scale, Ushur helps organizations improve customer retention and customer growth, while reducing staff burden for customer service and delivering the fastest time to value through a no-code deployment.


**Average Rating:** 4.4/5.0
**Total Reviews:** 17

**Who Is the Company Behind Ushur?**

- **Seller:** [Ushur](https://www.g2.com/sellers/ushur)
- **Year Founded:** 2014
- **HQ Location:** Santa Clara, California
- **LinkedIn® Page:** https://www.linkedin.com/company/ushur-me/ (219 employees on LinkedIn®)

**Who Uses This Product?**
- **Top Industries:** Insurance, Hospital &amp; Health Care
- **Company Size:** 76% Mid-Market, 18% Enterprise


#### What Are Ushur's Pros and Cons?

**Pros:**

- Customer Support (5 reviews)
- Ease of Use (5 reviews)
- Helpful (5 reviews)
- Efficiency (4 reviews)
- Business Growth (3 reviews)

**Cons:**

- Missing Features (4 reviews)
- Software Bugs (3 reviews)
- Error Issues (2 reviews)
- Limited Features (2 reviews)
- Complexity (1 reviews)


### What Do G2 Reviewers Say About Ushur?
*AI-generated summary from verified user reviews*

**Pros:**

- Users value the **exceptional customer support** from Ushur, enhancing collaboration and effectively addressing needs and challenges.
- Users praise the **ease of use** of Ushur, highlighting intuitive workflows and quick implementation.
- Users value the **exceptional customer support** from Ushur, enhancing collaboration and driving successful outcomes for their needs.
- Users commend Ushur for its **efficiency** , highlighting quick solutions and effective support for their needs.
- Users highlight the **significant productivity gains** from Ushur, thanks to responsive support and quick development cycles.

**Cons:**

- Users note the **lack of essential features** in Ushur, hindering the overall functionality and user experience.
- Users report **software bugs** in Ushur Studio, indicating a need for further development and testing of features.
- Users often face **error issues** with Ushur, experiencing untested releases and persistent bugs affecting functionality.
- Users note the **limited features** in Ushur, with some still in development causing bugs and manual workflow efforts.
- Users find the **complexity** of Ushur flows challenging, requiring significant IT expertise for development and maintenance.

#### What Are Recent G2 Reviews of Ushur?

**"[Ushur is a platform with great customer service  that is highly customizable to fit any  need.](https://www.g2.com/survey_responses/ushur-review-10169857)"**

**Rating:** 5.0/5.0 stars
*— Jonathan B.*

[Read full review](https://www.g2.com/survey_responses/ushur-review-10169857)

---

**"[Simplifying Member Connections and Benefits!](https://www.g2.com/survey_responses/ushur-review-9982059)"**

**Rating:** 5.0/5.0 stars
*— Larissa A.*

[Read full review](https://www.g2.com/survey_responses/ushur-review-9982059)

---



### 14. [Vegavid Technology](https://www.g2.com/products/vegavid-technology/reviews)
Vegavid Technology is an AI-first engineering firm dedicated to building the next generation of autonomous business systems. While our roots are in deep tech, our mission is centered on Artificial Intelligence and Agentic Workflows. We help enterprises transition from manual processes to intelligent automation through custom LLM integration, RAG architectures, and AI Agent development. Beyond intelligence, we provide the secure infrastructure needed for modern tech, blending Blockchain and Cloud-native software to ensure your AI solutions are as secure as they are smart. With 200+ experts and 400,000+ hours of technical R&amp;D, we turn complex data into your company’s greatest competitive advantage. Our AI Core: AI Agent Development: Custom autonomous agents for support, sales, and operations. Generative AI &amp; LLMs: Fine-tuned models, RAG implementation, and NLP solutions. Computer Vision: Advanced OCR, video analytics, and 3D object generation.



**Who Is the Company Behind Vegavid Technology?**

- **Seller:** [Vegavid Technology](https://www.g2.com/sellers/vegavid-technology-122f8811-0b00-4ea5-96c6-210b4432e6e2)
- **Year Founded:** 2019
- **HQ Location:** Noida, IN
- **LinkedIn® Page:** https://www.linkedin.com/company/vegavid-technology (42 employees on LinkedIn®)






### 15. [Velyr](https://www.g2.com/products/velyr/reviews)
Velyr is an AI-driven growth agent designed for React, Next.js, and Vite websites deployed on Vercel. It autonomously identifies and addresses the most critical conversion issues on your site by analyzing PostHog analytics data, including traffic patterns, bounce rates, scroll depth, and user click behavior. Each week, Velyr proposes a targeted fix by creating a GitHub Pull Request, which you can approve with a simple Telegram reply. If the implemented change negatively impacts your site&#39;s performance, Velyr automatically reverts the update within 48 hours, ensuring continuous optimization without compromising user experience. Key Features and Functionality: - Automated Conversion Optimization: Velyr conducts weekly analyses of your website&#39;s analytics to pinpoint and address the most significant conversion bottlenecks. - Seamless Integration: It integrates directly with your existing GitHub, Vercel, and PostHog workflows, eliminating the need for additional platforms or manual interventions. - User-Controlled Deployment: Proposed changes are submitted as GitHub Pull Requests, allowing you to review and approve each modification via Telegram before deployment. - Automatic Rollback Mechanism: If a change leads to a 15 percentage point or more increase in site-wide bounce rate within 48 hours, Velyr initiates an automatic rollback to maintain optimal performance. - Competitor Tracking and Brand Guardrails: Velyr includes features to monitor competitors and enforce brand guidelines, ensuring that all suggestions align with your brand&#39;s identity and objectives. Primary Value and Problem Solved: Velyr streamlines the conversion optimization process for developers and small SaaS teams by automating the identification and resolution of conversion issues. By delivering actionable code changes directly to your GitHub repository and providing a straightforward approval process, Velyr reduces the time and effort required for manual optimization. Its automatic rollback feature safeguards against potential negative impacts, ensuring that your website&#39;s performance and user experience are consistently enhanced without the need for extensive resources or specialized expertise.



**Who Is the Company Behind Velyr?**

- **Seller:** [Velyr](https://www.g2.com/sellers/velyr)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 16. [ViNG](https://www.g2.com/products/netoai-ving/reviews)
ViNG is a GenAI-powered conversational AI agent platform designed to serve businesses across all industries. Built on NetoAI’s proprietary Telecom-Specific Large Language Action Models (TSLAM), and enabled by its Digital Twin (Digi Twin) and Network API (NAPI) integration technologies, ViNG enables organizations to deploy intelligent, context-aware AI agents that seamlessly connect with existing enterprise systems. From customer engagement and sales enablement to operations automation, compliance, and documentation, ViNG delivers high-impact results while optimizing resources. Its industry-agnostic design empowers companies to enhance customer experiences, streamline processes, and scale with sustainable, domain-led AI solutions



**Who Is the Company Behind ViNG?**

- **Seller:** [NetoAI](https://www.g2.com/sellers/netoai)
- **Year Founded:** 2024
- **HQ Location:** London, GB
- **Twitter:** @NetoAI_official (3 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/netoai (17 employees on LinkedIn®)






### 17. [Visualagents Ai](https://www.g2.com/products/visualagents-ai/reviews)
VisualAgents is a serverless, zero-install Progressive Web App (PWA) that empowers users to build and deploy AI agents directly within their web browsers. Designed for ease of use, it eliminates the need for complex installations or extensive coding knowledge, enabling rapid development and deployment of intelligent chatbots and agents. By operating at the edge, VisualAgents ensures enhanced privacy and control over data and workflows. Key Features: - Zero-Deploy No-Code Platform: Users can create AI agents without any deployment overhead, saving time and resources. - Serverless Architecture: The platform operates without the need for server management, reducing operational complexities. - Offline Functionality: Users retain full ownership and control over their data and agent workflows, even without an internet connection. - Dynamic Code Authoring: Facilitates the creation of custom tools and workflows tailored to specific needs. - Parallel Execution and Asynchronous/Event-Driven Operations: Enhances performance and responsiveness of AI agents. - Privacy-Focused: Ensures 100% privacy with encrypted data storage and no exposure of local area network ports. Primary Value and Solutions: VisualAgents addresses the challenges of developing and deploying AI agents by providing a user-friendly, no-code platform that operates directly in the browser. It eliminates the need for server management and complex installations, making AI agent development accessible to a broader audience. By offering offline capabilities and ensuring data privacy, VisualAgents empowers users across various industries—including software development, healthcare, manufacturing, business intelligence, scientific computing, and finance—to create and deploy intelligent agents that enhance operational efficiency and decision-making processes.



**Who Is the Company Behind Visualagents Ai?**

- **Seller:** [Visualagents Ai](https://www.g2.com/sellers/visualagents-ai)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 18. [vivgrid](https://www.g2.com/products/vivgrid/reviews)
Vivgrid is an AI agent platform designed to help teams build, test, and operate production-ready AI agents with confidence. Instead of stitching together scattered tools for orchestration, evaluation, monitoring, and deployment, Vivgrid provides a unified environment that brings the entire agent lifecycle into one place. Teams get full observability into every prompt, tool call, and decision, along with automated safety evaluation and guardrails that ensure agents behave reliably before and after launch. With built-in multi-agent orchestration and a globally distributed GPU inference network, Vivgrid enables developers, startups, and enterprises to deploy agents with low latency anywhere in the world. Supporting frontier models like GPT-5.1, Gemini 2.5 Pro, and DeepSeek-V3, Vivgrid is built for real-world applications—from rapid prototypes to mission-critical enterprise systems. Our mission is to make AI agents trustworthy, scalable, and operationally simple, empowering organizations to bring intelligent automation into everyday workflows.



**Who Is the Company Behind vivgrid?**

- **Seller:** [Allegro US](https://www.g2.com/sellers/allegro-us)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 19. [Wonderful AI](https://www.g2.com/products/wonderful-ai/reviews)
The Wonderful platform for building, deploying, and optimizing enterprise-grade agents for every use case.



**Who Is the Company Behind Wonderful AI?**

- **Seller:** [Wonderful](https://www.g2.com/sellers/wonderful-4c8bb011-8528-414f-809c-a6c564d14b78)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 20. [Workforce](https://www.g2.com/products/agile-defense-workforce/reviews)
Workforce is Agile Defense Labs’ Generative AI hub that fields reusable “AI Teammates” and orchestrated multi-agent Teams to augment analysts, planners, and operators. Workforce isn&#39;t just another chatbot -- it&#39;s the platform for building truly autonomous AI workflows.



**Who Is the Company Behind Workforce?**

- **Seller:** [Agile Defense](https://www.g2.com/sellers/agile-defense-64f8151e-8d69-46da-887e-d5abaa662f12)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/agiledefense/ (1 employees on LinkedIn®)






### 21. [Workgrid](https://www.g2.com/products/workgrid/reviews)
Workgrid is an AI Assistant designed to simplify the workday for employees. It provides employees with a single conversational interface to find information and perform tasks across various systems, documents, and knowledge sources. Workgrid&#39;s conversational AI platform delivers over 50 prebuilt agent templates and a low-code builder to create bespoke agents, offering companies an efficient and scalable way to deploy AI agents for any use cases across their organization.


**Average Rating:** 4.5/5.0
**Total Reviews:** 3

**Who Is the Company Behind Workgrid?**

- **Seller:** [Workgrid Software](https://www.g2.com/sellers/workgrid-software)
- **Year Founded:** 2017
- **HQ Location:** Boston, US
- **Twitter:** @WorkgridSoft (413 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/workgrid-software (14 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 33% Enterprise, 33% Mid-Market



#### What Are Recent G2 Reviews of Workgrid?

**"[Boosting Efficiency and Collaboration: My Take on Workgrid](https://www.g2.com/survey_responses/workgrid-review-8431329)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Financial Services*

[Read full review](https://www.g2.com/survey_responses/workgrid-review-8431329)

---

**"[I like the integrations](https://www.g2.com/survey_responses/workgrid-review-8533622)"**

**Rating:** 4.5/5.0 stars
*— Eli M.*

[Read full review](https://www.g2.com/survey_responses/workgrid-review-8533622)

---


#### What Are G2 Users Discussing About Workgrid?

- [What is Workgrid used for?](https://www.g2.com/discussions/what-is-workgrid-used-for)

### 22. [Zaiq](https://www.g2.com/products/zaiq/reviews)
Zaiq is a frontier-AI engineering firm. We aim the sharpest AI on earth at problems other firms only write proposals about, and ship the systems that solve them: autonomous AI systems, answer-engine visibility across ChatGPT, Gemini, Claude and Perplexity, intelligent automation, and AI-native software. Two senior engineers, building directly, nothing between you and the people writing the code. Bring the problem. We engineer the fix.



**Who Is the Company Behind Zaiq?**

- **Seller:** [Zaiq](https://www.g2.com/sellers/zaiq)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 23. [Zoe Legal](https://www.g2.com/products/zoe-legal/reviews)
Zoe Legal is an AI-powered assistant tailored specifically for employment lawyers, designed to streamline legal workflows and enhance productivity. By integrating advanced AI capabilities, Zoe Legal assists in managing case files, drafting documents, automating discovery processes, and providing verified answers with precise source citations. Key Features and Functionality: - Case File Mastery: Zoe Legal can process a wide range of case-related documents, including client files, pleadings, discovery requests, depositions, court filings, and medical records. Users can query the AI and receive answers with exact page citations, facilitating efficient information retrieval. - Drafting in Your Voice: The AI learns the unique style and tone of a law firm from provided examples, enabling it to draft demand letters, complaints, and other legal documents that reflect the firm&#39;s voice, thereby maintaining consistency and professionalism. - Discovery Automation: Zoe Legal automates the creation and response to discovery requests, such as interrogatories, requests for production (RFPs), and requests for admission (RFAs). This automation reduces the time spent on these tasks from hours to minutes. - Verified Answers: Every response generated by Zoe Legal includes inline source citations, allowing users to verify the information by clicking on claims to see the exact document, page, and paragraph. The AI also indicates when it is uncertain about an answer. Primary Value and User Solutions: Zoe Legal addresses several challenges faced by employment lawyers by significantly reducing the time required for discovery and drafting processes. By automating routine tasks and providing accurate, citation-backed information, it allows legal professionals to focus more on complex legal strategies and client interactions. The platform&#39;s commitment to privacy and security ensures that client data remains confidential, aligning with attorney-client privilege requirements. Overall, Zoe Legal enhances efficiency, accuracy, and compliance in employment law practices.



**Who Is the Company Behind Zoe Legal?**

- **Seller:** [Zoe-Legal](https://www.g2.com/sellers/zoe-legal)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 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 Customer Support Agents Software](https://www.g2.com/categories/ai-customer-support-agents)


---

## 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&#39;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**
- _&quot;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.&quot;_ - [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**
- _&quot;Lindy&#39;s flexibility is its biggest flex. Unlike other automation tools that are super clunky and rigid, Lindy lets you build &#39;agents&#39; 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.&quot;_ - [Osmar Gonçalves](https://www.g2.com/products/lindy-lindy/reviews/lindy-review-11783253), Lindy Review
- **Automation reduces repetitive support tasks and accelerates internal workflows**
- _&quot;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&#39;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.&quot;_ - [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**
- _&quot;While it promises low-code automation, creating advanced workflows often requires a deeper understanding of the platform, leading to a steep learning curve.&quot;_ - [Sumit Kumar&amp;nbsp;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**
- _&quot;The main thing to be aware of is that while the basic functionality is very straightforward, there&#39;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&#39;t very technical, creating a more complex &quot;skill flow&quot; 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&#39;s nothing that can&#39;t be figured out, but it&#39;s worth noting.&quot;_ - [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**
- _&quot;Prompts need a lot of tuning, especially when agents are exposed via customer-facing portals, which can expect any kind of open questions.&amp;nbsp;But once turned, it works great.&quot;_ - [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



