# Best AI Agent Builders Software - Page 15 *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* 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 ## How Many AI Agent Builders Software Products Does G2 Track? **Total Products under this Category:** 279 ### Category Stats (May 2026) - **Average Rating**: 4.63/5 - **New Reviews This Quarter**: 930 - **Buyer Segments**: Small-Business 43% │ Mid-Market 33% │ Enterprise 24% - **Top Trending Product**: Kuga (+0.042) *Last updated: May 18, 2026* ## How Does G2 Rank AI Agent Builders Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 79,300+ Authentic Reviews - 279+ 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. ## 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 (1,073 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 (6,100 reviews) | RPA-native agentic orchestration with human-in-the-loop | "[Easy to learn & User friendly RPA tool](https://www.g2.com/survey_responses/uipath-agentic-automation-review-2433738)" | | 3 | [Zapier](https://www.g2.com/products/zapier/reviews) | 4.5/5.0 (2,039 reviews) | No-code agent-building with cross-app workflow automation | "[Efficient Workflow Automation with Strong Integration Flexibility](https://www.g2.com/survey_responses/zapier-review-12880364)" | | 4 | [ServiceNow AI Agents](https://www.g2.com/products/servicenow-ai-agents/reviews) | 4.3/5.0 (362 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 | [CloseBot](https://www.g2.com/products/closebot/reviews) | 4.8/5.0 (162 reviews) | Goal-based lead qualification and conversational appointment-booking | "[CloseBot Turns Conversations Into Booked Business—A Consistent Sales Assistant](https://www.g2.com/survey_responses/closebot-review-12679782)" | | 6 | [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 | "[Lindy.ai is Like Hiring a Virtual Assistant Team for a Fraction of the Cost](https://www.g2.com/survey_responses/lindy-review-11790383)" | | 7 | [Jotform AI Agents](https://www.g2.com/products/jotform-ai-agents/reviews) | 4.5/5.0 (603 reviews) | No-code conversational agent deployment with trainable knowledge bases | "[Jotform AI Agents Make Forms Effortless with Intuitive, Customisable Setup](https://www.g2.com/survey_responses/jotform-ai-agents-review-12877116)" | | 8 | [Asana](https://www.g2.com/products/asana/reviews) | 4.4/5.0 (13,104 reviews) | AI-automated cross-team workflow orchestration | "[Asana Keeps Teams Aligned with Clear Project Visibility and Efficient Workflows](https://www.g2.com/survey_responses/asana-review-12854281)" | | 9 | [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) | 4.4/5.0 (133 reviews) | Governed enterprise AI agent development and deployment | "[Comprehensive AI Platform with Steep Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-ai-review-12555087)" | | 10 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (758 reviews) | — | "[Lakebase - Good Option for Low Latency Data Serving with Databricks Integration](https://www.g2.com/survey_responses/databricks-review-12542177)" | ## 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) ## Which Type of AI Agent Builders Software Tools Are You Looking For? - [ AI Agent Builders Software](https://www.g2.com/categories/ai-agent-builders) *(current)* - [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) --- **Sponsored** ### Nextworld Platform Nextworld does this with custom no-code software: enterprise-grade applications, automations, and AI-powered processes on a single governed platform. 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[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%5Bdisplayable_resource_id%5D=1009956&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1009956&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1406867&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%3D8&secure%5Btoken%5D=dd4aa225addd357743263aea7784ecfd8df4296df825261097339b689e846563&secure%5Burl%5D=https%3A%2F%2Fwww.nextw.com&secure%5Burl_type%5D=company_website) --- ## Buyer Guide: Key Questions for Choosing AI Agent Builders Software Software ### What does an AI agent builder do? I describe AI agent builders as platforms that allow teams to design automated agents capable of performing tasks, handling conversations, and integrating with internal systems. These tools provide a controlled environment to outline an agent’s logic, define triggers, and connect data sources, enabling it to operate reliably. Instead of writing every action from scratch, I can structure workflows, permissions, and knowledge inputs in a single, centralized location. ### Why do businesses use AI agent builders? I’ve seen most teams seek ways to automate repetitive tasks without compromising quality. AI agent builders support that by managing predictable interactions and routing more complex requests to humans when needed. They help offload work while maintaining consistent responses. Based on the G2 review data I’ve analyzed, a few themes appear frequently: - Users mention that automated workflows reduce the time spent on routine operations. - Many appreciate visual design tools that simplify building multi-step logic. - Reviewers highlight integrations that let agents access CRMs, ticketing systems, or internal data. - Several bring up improvements in customer response time when agents handle first-touch inquiries. These shared points show how AI agent builders help teams improve efficiency and maintain predictable outcomes. ### Who usually uses AI agent builders? Based on G2 review insights, the groups that rely heavily on AI agent builders include: - **Support teams** handle common issues before transferring to an agent. - **Operations teams** automate internal tasks such as updates, routing, and notifications. - **Marketing and CX teams** build assistants that guide customers through decisions or troubleshoot questions. - **Technical teams** design advanced workflows tied to APIs and backend systems. Each group uses agents differently, but the goal remains the same: to streamline tasks while maintaining a consistent experience. ### What types of AI agent builders should I consider? G2 reviewers often distinguish agent builders by their complexity and intended users. The types I see most frequently include: - **No-code builders** that rely on visual editors for non-technical teams. - **Low-code platforms** that blend visual design with scripting or API calls. - **Enterprise-focused systems** offering governance, audit trails, and security controls. - **Function-specific builders** tailored for support, sales, or workflow automation. The best fit depends on your team’s technical comfort and the sophistication of the tasks you want the agent to handle. ### What are the core features to look for in AI agent builders? When I sort through G2 feedback in this category, a handful of features consistently show up as make-or-break for successful deployment. - **Workflow design** for mapping how an agent processes inquiries. - **Knowledge connectors** that allow agents to reference documents or internal data. - **Guardrails** that let teams control behavior, permissions, and escalation paths. - **Performance analytics** showing resolution rates, accuracy, and customer sentiment. - **Multi-channel deployment** so agents can operate in chat, email, or internal applications. - **Integrations** with CRMs, support tools, knowledge bases, and custom APIs. These capabilities shape how dependable and scalable an agent ultimately becomes. ### What trends are shaping AI agent builders right now? As the market evolves, I’m seeing new features and design philosophies that make AI agent builders far more adaptable than they used to be. Some of the notable trends include: - **Context-handling improvements** that maintain coherence in interactions over longer sessions. - **Expanded system access** , allowing agents to complete more hands-on tasks. - **Simulation environments** that let teams test agent behavior before going live. - **Governance features** that support enterprise adoption and compliance needs. ### How should I choose an AI agent builder? For me, the best agent builder is the one that matches team skill level, integrates cleanly with existing systems, and provides enough control to handle complex workflows safely. When those pieces align, the platform becomes a reliable part of how teams automate tasks and deliver consistent, scalable interactions. ### What does AI Agent Builders software do? I think of AI Agent Builders software as the workspace for creating agents that can understand context, respond to users, and take action across connected systems. These platforms bring prompts, knowledge sources, tools, integrations, testing, guardrails, and deployment controls into one build environment. Across the G2 reviewer accounts I analyzed, the category shows up in customer support, lead intake, voice agents, CRM updates, internal assistants, and workflow automation. It sits beyond basic chatbot setup because the agent is expected to interpret a request, choose the next step, and complete a task inside a business process. ### Why do businesses use AI Agent Builders software? The clearest adoption pattern I saw in G2 reviews was workload scale. Teams wanted to answer more questions, qualify more leads, book more meetings, and move more routine work forward without adding the same amount of manual effort. - Reviewers describe customer support automation as a main use case, with agents answering repeated questions and collecting details before a human steps in. - Sales and agency users use agents for lead qualification, appointment booking, intake forms, and faster response after an inquiry. - Many users value low-code builders because teams can launch agents without building every workflow from scratch. - Integrations with CRMs, calendars, forms, APIs, knowledge bases, and workflow tools make agents more useful than standalone chat windows. Common friction areas include pricing, setup time, testing limits, inconsistent answers, analytics gaps, and learning curves when workflows become more advanced. ### Who uses AI Agent Builders software primarily? When I reviewed G2 profiles for this category, I saw a mix of support, sales, operations, and technical users building agents for different parts of the business. - **Customer support teams:** Build agents that answer common questions, collect issue details, and route customers to the right next step. - **Sales and revenue teams:** Use agents for lead qualification, meeting booking, CRM updates, and follow-up workflows. - **Operations teams:** Automate repeat tasks, internal requests, approvals, reminders, and handoffs across tools. - **Developers and automation builders:** Connect agents to APIs, webhooks, databases, model settings, and custom workflows. - **Agencies and consultants:** Build agents for client intake, booking, customer response, and service delivery workflows. ### What types of AI Agent Builders software should I consider? The buying patterns I saw in G2 reviews revealed that these platforms are usually distinguished by the task the agent needs to perform. - **Customer service agent builders:** Best for support questions, knowledge-base answers, ticket intake, and escalation. - **Voice agent platforms:** Best for phone calls, appointment booking, lead response, call routing, and live conversation handling. - **Workflow automation agent builders:** Best when agents need to trigger actions, move data, and coordinate steps across systems. - **CRM-native agent builders:** Best when customer records, sales activity, service cases, and follow-up need to stay in the same platform. - **Developer-first agent frameworks:** Best for teams that need deeper control over APIs, tools, model choice, routing, and guardrails. ### What are the core features to look for in AI Agent Builders software? When I evaluate AI Agent Builders, the features that show up most consistently include: - **Knowledge and context setup:** Agents should connect to documents, websites, CRMs, forms, databases, and internal knowledge sources that keep answers grounded. - **Tool and action controls:** APIs, webhooks, calendars, tickets, forms, and workflow triggers determine whether the agent can complete work after the conversation starts. - **Agent instruction design:** Builders need clear controls for prompts, branching, handoffs, fallback behavior, memory, and user inputs. - **Testing and performance review:** Teams need transcripts, test environments, success tracking, error visibility, and analytics before agents scale. - **Guardrails and admin control:** Permissions, approval rules, brand controls, compliance settings, and escalation paths matter once agents can act on business data. ### What trends are shaping AI Agent Builders software right now? My analysis of G2 data and recent market signals shows several shifts in this category: - **Task-specific agents being embedded into enterprise tools** across sales, service, operations, and productivity workflows. - **Multi-agent coordination emerging as a design pattern** as teams distribute work across specialized agents. - **Builder platforms converging on no-code setup** paired with developer-grade APIs, versioning, and deployment controls. - **Governance moving into the agent layer** as security, permissions, and compliance boundaries become prerequisites for cross-system action. - **Tracing and guardrails becoming production requirements** as teams demand visibility into tool calls, handoffs, and blocked actions before deploying agents in live workflows. ### How should I choose AI Agent Builders software? I suggest choosing around the task the agent must complete. Customer-facing teams should place the most weight on answer accuracy, escalation paths, conversation quality, and analytics. Voice-heavy use cases call for latency checks, interruption handling, call flow setup, and cost controls. For workflow automation, I advise reviewing integrations, API access, error handling, testing depth, and admin permissions. The strongest fit is the platform that lets teams build quickly while still controlling what the agent knows, what it can access, and what actions it can take. --- ## 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'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