No-code platform for building AI agents and teams that automate sales, marketing, and ops workflows.
No-code platform for building AI agents and teams that automate sales, marketing, and ops workflows.
Relevance AI is a no-code platform for assembling AI agents and multi-agent 'teams' that take over repeatable business processes — primarily in sales, marketing, customer success, and back-office operations. Users build agents by combining role definitions, tools (web search, CRM connectors, scrapers, internal APIs), knowledge bases, and triggers (webhook, schedule, email). The Workforce product extends single agents into teams where a manager delegates tasks to specialist agents, mirroring how a human ops team divides work.
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Relevance AI excels as a no-code platform for business teams to build AI agents and multi-agent workforces. Strong tool builder and knowledge integration make it accessible for non-technical users, though it sacrifices flexibility that developers get with code frameworks.
Configure agents with skills, knowledge bases, and conversation patterns through a drag-and-drop interface. Define agent roles, set autonomy levels, and deploy without writing code.
Use Case:
Creating a sales development agent that researches prospects using LinkedIn data, personalizes outreach emails, and logs activities in HubSpot — all configured visually.
Create agent tools by visually chaining API calls, data transformations, conditional logic, and LLM processing steps. Tools become reusable capabilities across agents.
Use Case:
Building a custom tool that queries your internal pricing database, applies discount logic, and generates a formatted quote — without writing a single line of code.
Connect multiple specialized agents on a visual canvas to handle complex, multi-step workflows. Each agent focuses on specific tasks while the workforce handles coordination and handoffs.
Use Case:
Building a lead qualification workforce where one agent researches prospects, another scores leads, and a third agent updates CRM records and triggers email sequences.
Upload documents (PDF, DOCX, CSV), scrape websites, or connect databases as agent knowledge. Automatic chunking, embedding, and retrieval for RAG-powered responses.
Use Case:
Creating a product knowledge base from documentation, FAQ pages, and training materials that agents use to answer customer questions accurately.
Pre-built connectors for HubSpot, Salesforce, Google Workspace, Slack, Intercom, and other business platforms. Agents can read, create, and update records in connected tools.
Use Case:
Building an agent that monitors Intercom conversations, identifies high-priority issues, creates HubSpot tickets, and notifies the team via Slack.
Deploy agents as chat interfaces, API endpoints, scheduled tasks, or webhook-triggered automations. Embed agents in websites or connect them to existing tools via API.
Use Case:
Deploying a support agent as a chat widget on your website that also runs scheduled checks on open tickets every hour.
$0
$199/mo
$599/mo
Custom
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In 2026, Relevance AI launched multi-agent Workforces for complex task coordination, enhanced their visual tool builder with advanced conditional logic, and added enterprise features including SOC 2 Type II compliance and multi-region deployment.
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