⏩ Fact Check: A McKinsey report found that nearly 30% of working hours across industries could be automated with AI.
That’s not a warning—it’s an opportunity.
Imagine sales handoffs that happen automatically, reports that build themselves, and onboarding checklists that complete before you even ask.
AI isn’t just speeding up work anymore—it’s starting to do the work.
With no-code and low-code AI agent builders, you can create digital teammates that think, decide, and act across your tools—no coding required.
In this guide, we’ve rounded up the most powerful AI agent builders you can use right now to save time, cut manual effort, and focus on the big stuff.
Let’s meet your future team of tireless digital collaborators.
Best AI Agent Builders to Automate Workflows
- What Should You Look for In AI Agent Builders?
- AI Agent Builders at a Glance
- The Best AI Agent Builders
- How we review software at ClickUp
- 1. ClickUp (Best for internal team productivity and task agents)
- 2. Crew AI (Best for orchestrating role-based AI agents with memory and human handoffs)
- 3. UiPath (Best for enterprise-grade AI agent orchestration)
- 4. Postman AI Agent Builder (Best for building API-connected agents using visual workflows and LLMs)
- 5. Vertex AI Agent Builder (Best for building enterprise-ready AI agents within Google Cloud’s ecosystem)
- 6. Zapier AI Agents (Best for automating business workflows with natural language agents)
- 7. LangChain (Best for building modular, multi-step AI agents with language model chaining)
- 8. Botpress (Best for multilingual, conversational AI agents with NLU and visual flow editor)
- 9. Haystack (Best for building custom RAG pipelines from documents, APIs, and vector databases)
- 10. AutoGen (Best for Python teams building multi-agent systems that run code autonomously)
- 11. Voiceflow (Best for designing, testing, and deploying conversational AI agents across channels)
- 12. Microsoft Copilot (Best for building and deploying AI agents across Microsoft 365 apps)
- 13. Relevance AI (Best for ops teams building and managing no-code AI agent workforces)
- Meet the Future of Work With ClickUp
Summarize this article for me pleaseWhat Should You Look for In AI Agent Builders?
Some AI agents automate the basics. Others help you coordinate work across tools. The best ones feel like they were built for your team from the start.
Here’s what matters when choosing one 👇
- Multi-step logic: Can the AI agent go beyond ‘if-this-then-that’? Look for tools that support branching workflows, conditional triggers, and decision trees. That’s how your AI agents can become actual operators
- Integration with your tools: Whether you’re using Slack, Salesforce, Notion, or Zapier, check if the agent capabilities support native or API-level integration. Seamless integration is key to scalable agent development
- Natural language interface: Builders that let you describe workflows in plain English (and then execute them) make setup much faster and more intuitive. With this AI capability, you don’t need to go to the tech team for every small change; you can make the tweaks yourself
- Context awareness: Agents with memory or context tracking create smoother experiences, especially in customer-facing use cases. This also improves agent performance over time
- Security and permission controls: If your agent is handling customer data or internal files, you need to have guardrails and enterprise-grade security. Look for role-based access, data encryption, and audit logs in your agent platform of choice
👀 Did You Know? The first AI agent, Logic Theorist (1956), was designed by Newell, Shaw, and Simon to prove mathematical theorems.
It mimicked human reasoning and even discovered a more efficient proof than one in Principia Mathematica.
Summarize this article for me pleaseAI Agent Builders at a Glance
Here’s a quick snapshot of the best tools to build intelligent AI agents without writing code.
| Tool | Best for | Best features | Pricing |
|---|---|---|---|
| ClickUp | Internal productivity and context-aware task agents Team size: Ideal for startups, cross-functional teams, and enterprises | Autopilot Agents, ClickUp Brain, native automations, multi-model AI, embedded workflows | Free forever; Customizations available for enterprises |
| Crew AI | Role-based, multi-agent orchestration Team size: Ideal for research, planning, and analysis workflows | Agent roles (e.g., researcher, planner), sequential/concurrent flows, vector memory | Free; Paid plans from $25/month |
| UiPath | Enterprise-grade RPA + AI agent automation Team size: Ideal for IT, finance, and customer service teams | Agent Builder, Orchestrator, human-in-loop, AI Center integrations | Paid plans from $25/month |
| Postman AI Agent Builder | Visual API-connected AI workflows Team size: Ideal for product, API, and DevOps teams | Drag-and-drop flows, multi-LLM testing, 18K+ API integrations | Custom pricing |
| Vertex AI Agent Builder | Enterprise agents within Google Cloud ecosystem Team size: Ideal for data teams and enterprise devs using GCP | Agent Dev Kit, prebuilt connectors, serverless agent engine | Custom pricing |
| Zapier AI Agents | Natural language-driven automation Team size: Ideal for operations, marketing, and SMBs | 6K+ integrations, multi-step AI agents, internal API access | Free plan; Paid plans from $29.99/month |
| LangChain | Modular, developer-friendly agent framework Team size: Ideal for AI engineers building custom logic | Tool chaining, LangGraph orchestration, 50+ integrations | Free (Pay-as-you-go); Plus from $39/month |
| Botpress | Multilingual conversational AI agents Team size: Ideal for CX and automation teams | Visual flow editor, NLU/NLP engine, self-hosting, API/database access | Free (Pay-as-you-go); Plus from $89/month |
| Haystack | Retrieval-augmented generation (RAG) pipelines Team size: Ideal for AI research and enterprise search teams | Modular agents, ToolInvoker, multi-retriever support, observability | Free (open source) |
| AutoGen | Python-based multi-agent collaboration Team size: Ideal for technical teams automating research or dev workflows | UserProxy pattern, Assistant+Critic loops, model-agnostic config | Free (open source) |
| Voiceflow | Voice/chat AI agent design and deployment Team size: Ideal for product, support, and CX teams | Visual agent builder, multimodal interface, Dialog API export | Free plan; Paid plans from $60/month |
| Microsoft Copilot | Microsoft 365-integrated AI agents Team size: Ideal for enterprise productivity and IT operations | Copilot Studio, natural language agent builder, Microsoft Graph | Starts at $20/user/month |
| Relevance AI | No-code AI agent workforces for ops teams Team size: Ideal for sales, marketing, and back-office automation | Drag-drop builder, vector store, prebuilt agents (AI BDR, etc.) | Free; Paid plans from $19/month |
Summarize this article for me pleaseThe Best AI Agent Builders
How we review software at ClickUp
Our editorial team follows a transparent, research-backed, and vendor-neutral process, so you can trust that our recommendations are based on real product value.
Here’s a detailed rundown of how we review software at ClickUp.
AI is changing how we get things done, and a new wave of platforms now makes it easier for teams to build their own smart, autonomous agents.
Here are some of the best AI agent builders leading the change 👇
1. ClickUp (Best for internal team productivity and task agents)
ClickUp, the everything app for work, empowers teams to build AI agents directly inside their workspace.
ClickUp Autopilot Agents allow you to build customized AI agents that make decisions based on context.
For example, when someone posts a message in Slack or submits a form, the agent can analyze that input, check task conditions, and assign the right next step. You can set up instructions, feed in workspace knowledge, and use native tools like Docs, Tasks, and Comments to make the agent feel like part of your team.
⚡ Quick Hack: Build a custom AI agent in ClickUp:
- Head to the Space, Folder, or List where you want the agent
- Click the Autopilot Agent icon at the top
- Hit New Agent
- Set up the trigger, condition, action, and instructions (Need help writing instructions? Hit Ask Brain for help)
- Name your agent, then hit Create
- Test it once, tweak if needed—and you’re done
Tied closely with this is ClickUp Brain, which brings AI into the center of your workflow. It connects to your actual work—tasks, docs, and comments—and helps generate task summaries, draft emails, or break down large projects into subtasks.
For routine work, ClickUp Automations allows you to set up automated rules to handle repetitive actions, such as assigning owners, setting due dates, or updating statuses.
But you’re not limited to status changes or field updates. ClickUp supports webhooks, custom actions, and task creation triggers, which means you can pipe ClickUp events into external systems or trigger Autopilot Agents directly.
For example, a form submission can create a task, which triggers an Autopilot Agent to automatically summarize the request, tag the urgency, and suggest an assignee.
As Automations run natively inside ClickUp, there’s no lag or dependency on third-party connectors. You control execution timing, scope (Folder/List/Space), and output.
If your team is tired of duct-taping together separate tools for tasks, documents, chat, and AI, ClickUp gives you one place to build, manage, and automate it all, with agents that understand your work.
ClickUp best features
- Type what you need: Use natural language prompts to build AI workflow automations without fiddling with dropdowns or logic blocks
- Choose the right model for the task: Switch between external AI models like GPT-4o, Claude Opus, Gemini 2.5, and others based on your needs
- Pick from a rich template library: Create custom automations from scratch to match your team’s exact needs from 100+ pre-built automation templates
- Docs and Wikis: Create, link, and organize project knowledge alongside tasks to keep everything in one place. With a built-in AI personal assistant, you can summarize updates, auto-generate docs, and turn ideas into action
- Integrated chat: Send messages inside any task, doc, or dashboard—so every discussion stays in context with ClickUp Chat. You can tag teammates, assign action items from messages, embed links or files, and even convert messages directly into tasks
- Dashboards and reporting: Get real-time, customizable widgets to track everything from sprint velocity to team workload and OKR progress, and share critical reports via client-friendly views in ClickUp Dashboards
- Whiteboards: Map workflows, brainstorm ideas, and link tasks directly from sticky notes, shapes, or flowcharts using ClickUp Whiteboards. Assign work, draw connections, and turn planning into execution without leaving the board
ClickUp limitation
- The sheer number of customizations may overwhelm first-time users
ClickUp pricing
free forever
Best for individual users
Free Free
Key Features:
60MB Storage
Unlimited Tasks
Unlimited Free Plan Members
unlimited
Best for small teams
$7 $10
Everything in Free Forever plus:
Unlimited Storage
Unlimited Folders and Spaces
Unlimited Integrations
business
Best for mid-sized teams
$12 $19
Everything in Unlimited, plus:
Google SSO
Unlimited Message History
Unlimited Mind Maps
enterprise
Best for many large teams
Get a custom demo and see how ClickUp aligns with your goals.
Everything in Business, plus:
White Labeling
Conditional Logic in Forms
Subtasks in Multiple Lists
* Prices when billed annually
The world's most complete work AI, starting at $9 per month
ClickUp Brain is a no Brainer. One AI to manage your work, at a fraction of the cost.
ClickUp ratings and reviews
- G2: 4.7/5 (10,000+ reviews)
- Capterra: 4.6/5 (4,000+ reviews)
What are real-life users saying about ClickUp?
A Capterra review says,
2. Crew AI (Best for orchestrating role-based AI agents with memory and human handoffs)
Crew AI lets you go beyond one-off agents and build autonomous teams of AI agents that can collaborate in real time. Each agent is assigned a role (like ‘researcher,’ ‘planner,’ or ‘reviewer’) and a set of tools or skills, enabling them to work together toward a shared goal.
It is a multi-agent AI agent platform, a Python framework. It is suitable for orchestrating multi-step workflows, such as report generation, product research, or marketing campaign planning, where coordination between specialized agents is crucial.
This type of AI agent is collaborative and goal-driven, designed to handle complex workflows through structured role assignment and coordination.
Crew AI best features
- Build sequential or branched workflows using Crew and Sequential/ConcurrentFlow classes to structure multi-agent collaboration
- Leverage CLI‑generated project structure and YAML configs for rapid deployment of research/reporting pipelines
- Configure agent memory using vector databases like FAISS or Chroma to enable contextual memory and reduce repetition across tasks
Crew AI limitation
- Inconsistent agent output and difficulty interpreting final results can limit its practicality
Crew AI pricing
- Basic: Free
- Professional: $25/month
- Enterprise: Custom pricing
Crew AI ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
👀 Did You Know? In 2017, Sophia, the humanoid robot created by Hanson Robotics, became a citizen of Saudi Arabia—the first robot to receive citizenship.
Building AI agents is one thing—using them effectively is another.
🎥 In this video, you’ll see how to use AI as a personal assistant to manage schedules, draft messages, and handle routine tasks—showing exactly what great agent builders make possible.
3. UiPath (Best for enterprise-grade AI agent orchestration)
UiPath combines robotic process automation (RPA) with its new agentic AI capabilities. With UiPath Agent Builder, businesses can create low-code AI agents trained to handle context-aware, end-to-end processes, like invoice handling and customer interactions.
It’s designed for building AI agents that are both scalable and compliant. Backed by UiPath Orchestrator and built-in security, it bridges deterministic automation with decision-making AI, suitable for custom AI agents in enterprise workflows.
UiPath best features
- Automate tooled workflows and escalate to human operators with built-in human-in-the-loop support
- Integrate seamlessly with UiPath Studio robots, APIs, intelligent document processing, and external AI models
- Use Orchestrator and Maestro to deploy, monitor, and coordinate multiple agents in enterprise environments
UiPath limitation
- Limited transparency and control over how context is retrieved and applied, making complex workflows harder to fine-tune without guided support
UiPath pricing
- Basic: $25/month
- Standard: Custom pricing
- Enterprise: Custom pricing
UiPath ratings and reviews
- G2: 4.6/5 (7,000+ reviews)
- Capterra: 4.6/5 (700+ reviews)
What are real-life users saying about UiPath?
A G2 review says,
📚 Read More: Workflow Automation Examples and Use Cases
4. Postman AI Agent Builder (Best for building API-connected agents using visual workflows and LLMs)
With the Postman AI Agent Builder, teams can create custom AI agents that call APIs, reason through complex workflows, and handle real-time logic without writing a line of code.
Built on top of Postman Flows, the AI Agent Builder lets you connect large language models to APIs using drag-and-drop blocks, add memory, set conditions, and debug agent template output, within the same interface.
Postman AI Agent Builder best features
- Test multiple models simultaneously (GPT, Claude, Gemini, etc.), compare response quality, latency, and cost directly within Postman
- Explore from 18k+ public APIs and seamlessly integrate with top-tier LLMs using the AI Protocol
- Automatically convert any API in the Postman Public API Network into ‘agent‑ready’ tools and generate server code (MCP) to support LLM‑powered workflows
Postman AI Agent Builder limitation
- Can freeze or crash when handling large collections, especially on lower-end machines
Postman AI Agent Builder pricing
- Custom pricing
Postman AI Agent Builder ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
📮 ClickUp Insight: Only 10% of our survey respondents use voice assistants (4%) or automated agents (6%) for AI applications, while 62% prefer conversational AI tools like ChatGPT and Claude.
The lower adoption of assistants and agents could be because these tools are often optimized for specific tasks, like hands-free operation or specific workflows.
ClickUp brings you the best of both worlds. ClickUp Brain serves as a conversational AI assistant that can help you with a wide range of use cases. On the other hand, AI-powered agents within ClickUp Chat channels can answer questions, triage issues, or even handle specific tasks!
5. Vertex AI Agent Builder (Best for building enterprise-ready AI agents within Google Cloud’s ecosystem)
Vertex AI Agent Builder helps you build smart AI agents that can talk to each other, pull in company data, and complete tasks together, all within the Google ecosystem.
You get an easy Agent Development Kit (ADK) to define agent behavior in simple Python, support for open standards like Agent2Agent (so agents built with different tools can still collaborate), and pre-built connectors to bring in data from internal systems.
Vertex AI Agent Builder best features
- Use ADK to build multi-agent workflows in under 100 lines of Python, defining logic, guardrails, and orchestrations
- Connect agents to enterprise data and tools using MCP and 100+ Google Cloud pre-built connectors for real‑time grounding
- Deploy with the serverless Agent Engine, ensuring managed scaling, stateful memory, production monitoring, and debugging
Vertex AI Agent Builder limitation
- Black-box model behavior makes it hard to interpret, optimize, or fine-tune outputs
Vertex AI Agent Builder pricing
- Custom pricing
Vertex AI Agent Builder ratings and reviews
- G2: 4.6/5 (7,000+ reviews)
- Capterra: 4.6/5 (700+ reviews)
What are real-life users saying about Vertex AI Agent Builder?
A Capterra review says,
🧠 Fun Fact: In China’s first-ever humanoid robot soccer tournament, one robot “player” was carried off the field on a stretcher after a collision—yes, a stretcher… for a robot! The fully autonomous match was full of tumbles, injuries, and AI-driven action!
6. Zapier AI Agents (Best for automating business workflows with natural language agents)
Zapier AI Agents takes traditional Zaps and supercharges them with natural language automation.
Instead of creating individual automations manually, you can now describe what you want in plain English, like ‘create a task in Asana when a lead fills out a form,’ and the AI will build the automation for you. These AI agents for business can also reason through logic, call APIs, and hand off tasks to other tools in your stack.
Zapier AI Agents best features
- Deploy agents that take multi-step actions across 6,000+ integrations like Gmail, HubSpot, Notion, and Salesforce
- Assign goals to each agent and let them operate independently, including querying data, updating records, or sending emails
- Leverage Zapier’s developer platform to integrate private apps or expose internal APIs for agent use
Zapier AI Agents limitation
- Some complex workflows still require traditional Zap setup, as AI-generated Zaps can miss edge cases or dependencies
Zapier AI Agents pricing
- Free forever
- Professional: $29.99/month
- Team: $103.99/month
- Enterprise: Custom pricing
Zapier AI Agents ratings and reviews
- G2: 4.6/5 (7,000+ reviews)
- Capterra: 4.6/5 (700+ reviews)
What are real-life users saying about Zapier AI Agents?
A G2 review says,
7. LangChain (Best for building modular, multi-step AI agents with language model chaining)
Unlike a traditional chatbot that responds within fixed parameters, an AI agent built with LangChain can plan, reason, and take multi-step actions, making it context-aware. It uses an open-source framework.
You can also stack components (Chains, Agents, Memory, Tools) to create multi-step assistants that think, act, and iterate. The modular design enables AI agents to access external tools, APIs, or files to complete more advanced tasks. Developers can also customize AI agents to follow specific logic, workflows, or decision-making paths that fit unique use cases.
LangChain best features
- Combine LLMs with tool calls using ReAct-style decision-making or custom chain logic to support complex, autonomous workflows
- Includes out‑of‑the‑box support for search engines, file loaders, vector databases, APIs, Bash execution, and more than 50 tools
- Use LangGraph, an orchestration layer for LangChain, to help developers build stateful, multi-actor applications with LLMs
LangChain limitation
- With frequent version updates, developers have to rewrite code to align with the latest version
LangChain pricing
- Developer: Free (pay as you go)
- Plus: $39/month (pay as you go)
- Enterprise: Custom pricing
LangChain ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What are real-life users saying about LangChain?
A G2 review says,
8. Botpress (Best for multilingual, conversational AI agents with NLU and visual flow editor)
Botpress is an open-source conversational AI platform built for developers who want complete control over how their agents are designed, deployed, and localized.
It combines natural language understanding (NLU) with a visual conversation studio, allowing you to manage logic, intents, and actions without writing extensive code. You can deploy agents across various channels, such as WhatsApp, Messenger, or custom UIs, and customize every aspect of the interaction logic.
Botpress best features
- Use the Visual Flow Editor to build complex conversation logic with conditional jumps, slots, and events
- Deploy your agents locally, on cloud platforms, or on edge devices using Docker, Kubernetes, or the built-in Botpress Cloud
- Integrate external APIs or databases directly within flows using native code hooks or HTTP calls
Botpress limitation
- Vector Database re-optimizes all documents every time you upload new ones
Botpress pricing
- Pay-as-you-go: $0 + AI Spend/month
- Plus: $89 + AI spend/month
- Team: $495 + AI spend/month
- Enterprise: Starting at $2000/month (on a 3-year term)
Botpress ratings and reviews
- G2: 4.6/5 (300+ reviews)
- Capterra: 4.5/5 (30+ reviews)
What are real-life users saying about Botpress?
A Capterra review says,
9. Haystack (Best for building custom RAG pipelines from documents, APIs, and vector databases)
Haystack, from Deepset, is an open-source AI orchestration framework built for developers to craft production-ready LLM agents. It is suitable for creating complex retrieval-augmented generation (RAG) pipelines, search systems, and multi-step agentic workflows.
With modular components (retrievers, generators, and tools), JSON schema validation, parallel tool execution, and built-in monitoring, Haystack helps design, test, deploy, and scale intelligent applications across cloud and on-premises environments.
Haystack best features
- Combine dense (embedding‑based) and sparse (keyword‑based) retrievers to deliver precise answers from large text collections
- Connect retrievers, generators, ToolInvoker, validators, and more to build custom AI workflows
- Use Haystack’s Agent to plan, decide which tool to use, execute API calls, retrieve docs, and loop, creating dynamic, intelligent behavior
Haystack limitation
- Haystack relies heavily on Elasticsearch, which can slow down performance for large-scale workloads
Haystack pricing
- Open source framework
Haystack ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What are real-life users saying about Haystack?
A G2 review says,
🧠 Fun Fact: The term ‘artificial intelligence’ was coined in 1956 during the famous Dartmouth Workshop by John McCarthy, Marvin Minsky, and others, often seen as the official birth of AI as a field.
10. AutoGen (Best for Python teams building multi-agent systems that run code autonomously)
Created by Microsoft Research, AutoGen helps build conversational agent systems that operate on natural language instructions.
A typical setup pairs a ‘UserProxy’ agent (which holds the goal and reviews results) with multiple ChatCompletion or Assistant agents (researcher, coder, critic). They converse through an event loop until the UserProxy decides the job is done, giving you a pattern to automate research reports, data analysis, or iterative coding sessions.
AutoGen best features
- Run ‘Assistant + Critic’ loops where one agent writes code and another reviews, catching errors before execution
- Invoke Python tool calls so agents can import libraries, scrape websites, or run data analysis inside a secured sandbox
- Swap LLM back-ends (OpenAI, Azure OpenAI, local models) with a single config line, keeping pipelines model-agnostic
AutoGen limitation
- May struggle with complex tasks like multihop questions, and isn’t ideal for customer-facing applications
AutoGen pricing
- Open source framework
AutoGen ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
11. Voiceflow (Best for designing, testing, and deploying conversational AI agents across channels)
Voiceflow is a conversational AI tool builder that lets teams design and launch voice or chat agents using a visual, no-code interface.
It supports multimodal interfaces (voice, text, buttons, visuals), real-time prototyping, and easy handoffs to engineering. It’s a centralized hub for cross-functional teams to co-create dynamic assistants across platforms like Alexa, Google Assistant, websites, and messaging apps.
Voiceflow best features
- Plug in OpenAI, Claude, Cohere, or custom APIs to blend static flows with generative AI for smarter conversations
- Deploy assistants to websites, mobile apps, smart speakers, or messaging platforms without rebuilding logic
- Export flows via the Dialog API or custom code to embed agents directly into apps or telephony systems
Voiceflow limitation
- Occasional bugs, feature updates, and deprecations may break existing workflows, requiring teams to rebuild parts of the agent or revisit aspects of agent creation
Voiceflow pricing
- Starter: Free (100 credits)
- Pro: $60/month (10K credits)
- Business: $150/month (30K credits)
- Enterprise: Custom pricing (billed annually)
Voiceflow ratings and reviews
- G2: 4.7/5 (50+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Voiceflow?
A G2 review says,
12. Microsoft Copilot (Best for building and deploying AI agents across Microsoft 365 apps)
Microsoft Copilot combines the power of GPT‑4‑based AI with native integration across Microsoft 365.
With Copilot Studio, your team can build AI agents for productivity using simple natural language prompts or drag‑and‑drop tools, then deploy them in Teams chats, SharePoint, Outlook, and Word to automate tasks, answer questions, or streamline operations.
Microsoft Copilot best features
- Use the ‘Describe’ tab to build agents by writing what you need, and Copilot Studio translates it into working logic
- Add Microsoft Graph, SharePoint, or web data, and integrate actions or API triggers without dev resources
- Track usage, manage capacity, and control deployment options—or meter usage to prevent cost overruns
Microsoft Copilot limitation
- Copilot can occasionally misinterpret context or tone, requiring manual edits
Microsoft Copilot pricing
- $20 user/month
Microsoft Copilot ratings and reviews
- G2: 4.4/5 (80+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Microsoft Copilot?
A Reddit review says,
13. Relevance AI (Best for ops teams building and managing no-code AI agent workforces)
Relevance AI is a no-code platform built for ops teams, startups, and developers who want to deploy ‘AI co-workers.’ The AI agent can automate multi-step workflows across sales, marketing, support, and back-office ops.
Agents can be trained on internal processes using uploaded files or URLs and are deployed visually through a drag-and-drop interface. With plug-and-play integrations with CRMs, email, Slack, and more, it’s built for production-grade automation, fast.
Relevance AI best features
- Design multi-agent systems with drag-and-drop logic and prebuilt agents (e.g., ‘Bosh’ for meeting booking, ‘Lima’ for lifecycle marketing)
- Specialized agents like the AI BDR Agent for automating commercial prospecting, including lead research, qualification, and follow-up
- Vector store to manage text, image, and audio data; supports sentiment analysis and similarity search for unstructured datasets
Relevance AI limitation
- Users often face customization difficulties, which can slow down project integration and limit flexibility for complex workflows
Relevance AI pricing
- Free Forever
- Pro: $19/month
- Team: $199/month
- Business: $599/month
- Enterprise: Custom pricing
Relevance AI ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What are real-life users saying about Relevance AI?
A G2 review says,
Summarize this article for me pleaseMeet the Future of Work With ClickUp
AI agents are already talking to customers on your behalf, surfacing insights, automating data entry, and even orchestrating entire workflows. Tasks that were previously handled by large teams.
At the center of this shift is ClickUp. It’s not just a project management tool anymore. With Autopilot Agents, ClickUp Brain, and natural language automations, it gives you everything you need to turn tasks into actions and ideas into execution.
You’re no longer managing work. You’re designing a system that does it for you.
Sign up on ClickUp and create your first intelligent agent today.
Everything you need to stay organized and get work done.
