Relevance AI takes an agentic-first approach to business automation — rather than adding AI to existing workflow tools, it positions AI agents as autonomous team members that own entire processes end-to-end. The platform provides three ways to create agents: describe what you want in plain English and let the AI build a first draft, clone a pre-built agent from the community marketplace covering common use cases like sales research and customer support, or build from scratch using the visual workflow editor. Agents connect to over 9,000 integrations including HubSpot, Salesforce, Slack, Gmail, Apollo, LinkedIn, Gong, and Smartlead, reading and writing to these systems without human intervention.
The platform structures AI adoption in four maturity levels. At Level 1, agents assist with individual tasks on demand. Level 2 introduces Autopilot where agents run scheduled workflows independently. Level 3 deploys full AI Workforces — teams of coordinated agents triggered by events and signals across inbound, outbound, onboarding, and expansion workflows. Level 4 is self-driving, where agent workforces optimize themselves, build new agents, and run their own tests while humans handle strategy. The SuperGTM product specifically targets go-to-market teams, joining calls, sitting in calendars, and integrating with CRMs so sales reps can delegate tasks from day one without changing their workflow.
Pricing separates Actions (what agents do) from Vendor Credits (LLM costs). The free tier includes 200 actions per month with $2 in vendor credits, unlimited agents, but just 1 user and 1 project. The Pro plan at $19/month adds scheduling capabilities. Team at a higher tier provides 7,000 actions, $70 in vendor credits, 5 build users, 45 end users, and analytics. Enterprise adds SSO, RBAC, multi-region support, and custom limits. A Programmatic GTM option lets developers build agents through Claude Code, Cursor, or OpenAI Codex instead of the visual builder. The platform is SOC 2 certified and available on AWS Marketplace with Bedrock integration for teams that need models served within their own AWS region.
