# Best Enterprise  AI Agent Builders Software

  *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*

   Products classified in the overall AI Agent Builders category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business AI Agent Builders to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2&#39;s buying advisors to find the right solutions within the Enterprise Business AI Agent Builders category.

In addition to qualifying for inclusion in the AI Agent Builders Software category, to qualify for inclusion in the Enterprise Business AI Agent Builders Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.





## Category Overview

**Total Products under this Category:** 259


## Trust & Credibility Stats

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

- 30 Analysts and Data Experts
- 64,300+ Authentic Reviews
- 259+ 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.



---

**Sponsored**

### SleekFlow

SleekFlow is an AI Suite for Revenue-Driving Conversations. Trusted by over2,000 enterprises across 70+ countries, we unify WhatsApp, Instagram, Messenger, SMS, Website Live Chat, Email, Call and beyond into a complete AI operating system. At the core of SleekFlow is AgentFlow, an AI GTM workforce that learns and improves relentlessly. The platform features a unique self-healing knowledge base that observes conversational patterns and identifies data gaps, surfacing one-click fixes for human approval. Beyond automation, SleekFlow’s AI acts as an unbiased data analyst, revealing deep business insights from your real customers’ conversations. From first-click conversion to long-term retention, SleekFlow is redefining the B2C relationship and turning every conversation into a data-backed growth opportunity. Headquartered in Singapore with a global presence in Hong Kong, Malaysia, Indonesia, Brazil, the UAE and the US, SleekFlow is backed by $23.5M in funding from tier-one investors including Tiger Global, Atinum Investment, AEF Greater Bay Area Fund (managed by Gobi Partners GBA and Transcend Capital Partners) Moses Tsang (Former General Partner of Goldman Sachs Group and Chairman of Goldman Sachs (Asia) LLC) and Mars Growth Capital. For more information, visit sleekflow.io.



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---

## Top-Rated Products (Ranked by G2 Score)
### 1. [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews)
  Salesforce Agentforce is an enterprise agentic AI software platform that helps organizations build, deploy, manage, and govern AI agents that can autonomously assist customers, employees, and partners across digital and voice channels. Agentforce is designed for enterprises that want to operationalize AI agents at scale while maintaining control, security, and trust. It brings together humans, applications, AI models, and business data into a unified system where agents can reason, take action, and collaborate with people. The platform supports the full agent lifecycle—from creation and testing to deployment, supervision, and continuous improvement—using both low-code and pro-code tools. Agentforce is used by teams across customer service, sales, IT, operations, HR, marketing, and industry-specific workflows. Agentforce enables organizations to deploy AI agents that work continuously, execute business logic, and integrate with existing systems. Agents can handle structured and unstructured data, reason through complex tasks, and hand off to humans when needed. Key capabilities and components include: - Agent development and orchestration tools that support building, testing, deploying, supervising, and scaling AI agents using conversational, low-code, and pro-code experiences. - Hybrid reasoning architecture that combines deterministic workflows with large language model (LLM) reasoning to ensure predictable execution while handling nuance and natural language interactions. - Multichannel and voice support, allowing agents to engage users across web, mobile, chat, and phone with consistent behavior and brand-aligned voice experiences. - Intelligent Context processing, which extracts and structures information from unstructured and multimodal data sources so agents can respond accurately and take relevant actions. - Lifecycle management and supervision, including batch testing, performance monitoring, and tools to refine agent behavior over time. Agentforce includes built-in trust, governance, and security features to support enterprise requirements: - Configurable guardrails to reduce hallucinations, bias, and off-topic responses. - Data protection and governance controls such as grounding, access controls, auditability, and privacy safeguards. - Enterprise-grade reliability and compliance, built on the broader Salesforce platform. Common use cases include customer support automation, sales development, employee support, deep research tasks, coaching and learning, product recommendations, appointment scheduling, and event or attendee support. Agentforce can also be tailored for industry-specific workflows by leveraging existing data models, APIs, and business logic. Overall, Salesforce Agentforce is an enterprise agentic AI platform for organizations seeking to deploy trusted, autonomous digital labor that integrates with their existing systems and operates at scale.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 1,055


**Seller Details:**

- **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce)
- **Company Website:** https://www.salesforce.com/
- **Year Founded:** 1999
- **HQ Location:** San Francisco, CA
- **Twitter:** @salesforce (581,471 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3185/ (88,363 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Salesforce Developer, Salesforce Administrator
  - **Top Industries:** Information Technology and Services, Financial Services
  - **Company Size:** 38% Mid-Market, 30% Enterprise


### 2. [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews)
  UiPath (NYSE: PATH) is a global leader in agentic automation, empowering enterprises to harness the full potential of AI agents to autonomously execute and optimize complex business processes. The UiPath Platform™ uniquely combines controlled agency, developer flexibility, and seamless integration to help organizations scale agentic automation safely and confidently. Committed to security, governance, and interoperability, UiPath supports enterprises as they transition into a future where automation delivers on the full potential of AI to transform industries. For more information, visit www.uipath.com. Agentic testing is an AI-powered approach to software quality assurance that leverages autonomous agents to generate, execute, and evolve tests across the entire testing lifecycle. By partnering intelligent agents with human testers, agentic testing dramatically increases test coverage, accelerates release cycles, improves system resilience, and enables continuous testing at enterprise scale. It empowers teams to shift from manual, reactive testing to proactive, scalable quality engineering—driving faster innovation with higher confidence.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 5,824


**Seller Details:**

- **Seller:** [UiPath](https://www.g2.com/sellers/uipath)
- **Company Website:** https://www.uipath.com
- **Year Founded:** 2005
- **HQ Location:** New York
- **Twitter:** @UiPath (108,037 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1523656/ (5,074 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** RPA Developer, Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 52% Enterprise, 29% Mid-Market


#### Pros & Cons

**Pros:**

- Automation (383 reviews)
- Ease of Use (369 reviews)
- Automation Focus (300 reviews)
- Automation Ease (254 reviews)
- Efficiency (194 reviews)

**Cons:**

- Expensive (157 reviews)
- Learning Curve (146 reviews)
- Complexity (92 reviews)
- Missing Features (90 reviews)
- Pricing Issues (74 reviews)

### 3. [ServiceNow AI Agents](https://www.g2.com/products/servicenow-ai-agents/reviews)
  ServiceNow AI Agents act autonomously to get work done across IT, HR, customer service, app development, and every corner of your business. They proactively solve problems, drive exponential productivity, and handle everything from routine tasks to complex, multi-step processes. Built on a unified, open platform that combines AI, data, workflows, and security, ServiceNow AI Agents have real-time access to enterprise data from 450+ systems. Grounded in your business context, rules, and knowledge, they don&#39;t just recommend next steps. They execute work across any system in your enterprise, governed by your policies at every step. Choose from out-of-the-box agents or build custom ones with AI Agent Studio using natural language. Set guardrails, automate workflows, and deploy AI with governance and security built in from day one. The AI Agent Orchestrator coordinates teams of specialized agents to handle complex, multi-step workflows that single-agent solutions can&#39;t manage. For over 20 years, ServiceNow has powered work for the world&#39;s leading companies. 85% of the Fortune 500 trust ServiceNow, powering 80 billion workflows annually and over 100,000 AI use cases. Put AI to work for your people with ServiceNow.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 99


**Seller Details:**

- **Seller:** [ServiceNow](https://www.g2.com/sellers/servicenow)
- **Company Website:** https://www.servicenow.com/
- **Year Founded:** 2004
- **HQ Location:** Santa Clara, CA
- **Twitter:** @servicenow (54,215 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/29352/ (32,701 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 40% Enterprise, 29% Small-Business


#### Pros & Cons

**Pros:**

- Efficiency (23 reviews)
- Ease of Use (18 reviews)
- Messaging Automation (14 reviews)
- Easy Integrations (11 reviews)
- Helpful (8 reviews)

**Cons:**

- Inaccuracy (11 reviews)
- Poor Understanding (9 reviews)
- Complex Configuration (8 reviews)
- Limited AI (8 reviews)
- Learning Curve (6 reviews)

### 4. [IBM watsonx Orchestrate](https://www.g2.com/products/ibm-watsonx-orchestrate/reviews)
  IBM® watsonx Orchestrate® puts AI to work for automating complex workflows and processes at scale, without changing your existing systems and tools. IBM watsonx Orchestrate helps you build, deploy and manage powerful AI assistants and agents, enabling seamless collaboration between them, to create one unified user experience. It can easily integrate with your existing business systems by connecting to multiple proprietary and third-party AI models or automation tools from 100+ enterprise apps. This allows the solution to adapt to your business needs instead of forcing you to adapt to generative AI. It is built on top of watsonx, which is a generative AI solution that allows the user to access multiple foundation models while emphasizing on enterprise-grade security, governance, and compliance. The outcome? Less manual work. Faster decisions. Increased AI productivity. A more efficient business— at scale. IBM watsonx Orchestrate offers the following: - Multi-agent orchestration - Easily deploy, manage, and govern a heterogenous network of AI assistants and agents, across their lifecycle. Enable smooth collaboration amongst multiple AI assistants and agents, whether they are built in-house or from third-party vendors, for a unified user experience. Work across hybrid cloud environments while integrating with complex tech stacks, wherever they reside. Empower employees with self-service access to AI assistants and agents so that they can focus more on what matters most to them. - Low-code agent builder and pre-built agents – Quickly build and deploy custom-built or pre-built AI agents using a range of low-code to pro-code tools, designed for everyday business users as well as professional developers. Easily leverage a software development kit (SDK) that includes tools, documentation, and code samples for faster turnaround times. Accelerate your agentic automation journey with pre-built agents built for specific business domains like human resources, sales, procurement, customer service and more. - Complex business workflow and process automation optimization - Streamline essential processes and reduce manual workflows to get faster ROIs by integrating with current systems or multiple third-party models. Simplify access to several tools and leverage ready-made integrations with 100+ leading enterprise apps including those from Microsoft, Salesforce, SAP, ServiceNow, Workday and more. Key Highlights: 1. Several tools and ready-to-use integrations designed for connecting with 100+ leading enterprise apps, for faster time to value. 2. A set of pre-built agents for specific business domains (like human resources, procurement, sales and more), as well as custom agent building capabilities including a range of low-code to pro-code authoring tools, for adapting to enterprise specific needs. 3. Multi-agent orchestration to enable hassle-free collaboration between several AI assistants, agents, and applications for a unified user experience.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 367


**Seller Details:**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** https://www.ibm.com/us-en
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (709,390 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 42% Enterprise, 38% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (61 reviews)
- Easy Integrations (31 reviews)
- Automation (29 reviews)
- AI Integration (28 reviews)
- Integrations (24 reviews)

**Cons:**

- Learning Curve (22 reviews)
- Complexity (17 reviews)
- Integration Issues (13 reviews)
- Missing Features (12 reviews)
- Expensive (11 reviews)

### 5. [Microsoft Copilot Studio](https://www.g2.com/products/microsoft-microsoft-copilot-studio/reviews)
  Microsoft Copilot Studio is a low-code platform designed to empower users to create and customize AI-driven agents that automate tasks and processes across various applications and services. By leveraging natural language processing and generative AI, Copilot Studio enables the development of intelligent agents capable of handling complex workflows, enhancing productivity, and streamlining operations within organizations. Key Features and Functionality: - Low-Code Development: Offers an intuitive graphical interface that allows users to build agents without extensive coding knowledge, making AI development accessible to a broader audience. - Integration with Microsoft Ecosystem: Seamlessly connects with Microsoft 365 applications, Azure services, and other platforms, enabling agents to interact with existing tools and data sources. - Customizable Agents: Users can tailor agents to specific business needs by defining custom workflows, integrating with APIs, and utilizing pre-built or custom connectors. - Multi-Channel Deployment: Agents can be deployed across various channels, including websites, mobile apps, social media platforms, and internal business applications, ensuring broad accessibility. - Advanced Analytics and Monitoring: Provides dashboards and AI-driven insights to monitor agent performance, user interactions, and effectiveness, facilitating continuous improvement. Primary Value and Solutions Provided: Microsoft Copilot Studio addresses the need for efficient automation and intelligent assistance within organizations. By enabling the creation of custom AI agents, it helps businesses: - Enhance Productivity: Automate repetitive tasks and processes, allowing employees to focus on higher-value activities. - Improve Customer Engagement: Deploy agents that provide instant support and information to customers across multiple channels, enhancing satisfaction and responsiveness. - Streamline Operations: Integrate agents with existing systems to facilitate seamless workflows and data management, reducing manual intervention and errors. - Foster Innovation: Empower teams to develop and iterate on AI solutions rapidly, promoting a culture of innovation and continuous improvement. By providing a versatile and user-friendly platform for AI agent development, Microsoft Copilot Studio enables organizations to harness the power of artificial intelligence to solve complex challenges and drive business success.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 145


**Seller Details:**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,114,353 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 40% Small-Business, 31% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (51 reviews)
- Easy Integrations (24 reviews)
- Easy Setup (17 reviews)
- AI Integration (15 reviews)
- Automation (15 reviews)

**Cons:**

- Expensive (11 reviews)
- Limited Customization (11 reviews)
- Learning Curve (10 reviews)
- Complex Workflows (8 reviews)
- Integration Issues (8 reviews)

### 6. [Workato](https://www.g2.com/products/workato/reviews)
  Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 725


**Seller Details:**

- **Seller:** [Workato](https://www.g2.com/sellers/workato)
- **Company Website:** https://www.workato.com
- **Year Founded:** 2013
- **HQ Location:** Mountain View, California
- **Twitter:** @Workato (3,599 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3675685 (1,348 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Senior Software Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 43% Mid-Market, 33% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (366 reviews)
- Integrations (245 reviews)
- Easy Integrations (232 reviews)
- Automation (198 reviews)
- Features (195 reviews)

**Cons:**

- Complexity (83 reviews)
- Learning Curve (77 reviews)
- Missing Features (77 reviews)
- Data Limitations (76 reviews)
- Expensive (71 reviews)

### 7. [Guru](https://www.g2.com/products/guru/reviews)
  Guru is the AI Source of Truth for your company—an AI knowledge platform that connects everything your teams know, makes it accessible everywhere you work, and keeps it accurate automatically. Guru unifies your company’s apps, chats, and docs into one governed knowledge layer, delivering cited, permission-aware answers, chat, and research across Slack, Teams, your browser, or even other AIs like ChatGPT and Claude. Every answer is grounded in verified knowledge, with built-in verification and lineage to ensure trust, compliance, and confidence at scale. Connect your knowledge. Access it everywhere. Build trust—automatically.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 2,254


**Seller Details:**

- **Seller:** [Guru](https://www.g2.com/sellers/guru)
- **Company Website:** https://www.getguru.com
- **Year Founded:** 2013
- **HQ Location:** Philadelphia, PA
- **Twitter:** @Guru_HQ (4,261 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/5129180/ (2,330 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Customer Service Representative, Customer Success Manager
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 59% Mid-Market, 29% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (742 reviews)
- Helpful (418 reviews)
- Comprehensive Information (315 reviews)
- Easy Access (298 reviews)
- Information Accuracy (287 reviews)

**Cons:**

- Search Functionality (152 reviews)
- Inefficient Search (149 reviews)
- Search Functionality Issues (138 reviews)
- Inefficient Searching (136 reviews)
- Organizational Challenges (110 reviews)



## Parent Category

[ Agentic AI Software](https://www.g2.com/categories/agentic-ai)



## Related Categories

- [AI Agents For Business Operations](https://www.g2.com/categories/ai-agents-for-business-operations)
- [AI Chatbots Software](https://www.g2.com/categories/ai-chatbots)
- [AI Orchestration Software](https://www.g2.com/categories/ai-orchestration)



---

## Buyer Guide

### 	 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




