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Relevance AI

No-code platform for building and deploying autonomous AI agents for business workflows

Relevance AI is an enterprise-grade platform for building autonomous AI agents that run business processes end-to-end. The free tier includes 200 actions/month and a one-time 1,000 vendor credits allocation; paid plans start at $19/month (billed annually) for 2,500 actions/month. Best for GTM and operations teams that need multi-agent automation without writing code.

Verified JUN 11, 2026 FREEMIUM Live
Visit relevanceai.com ↗ AI Agents & Automation
Screenshot of Relevance AI

What is Relevance AI?

Relevance AI is a no-code platform for building, deploying, and managing autonomous AI agents that execute multi-step business workflows. Rather than wiring together linear automations, teams define agents that can reason through tasks, call external tools, and hand off work to other agents — all without writing code. The platform uses a visual drag-and-drop builder and a natural-language “Invent” mode that generates agent configurations from a plain-English description of the job to be done.

Agents run against a dual-meter pricing model introduced in September 2025: Actions (each tool call or agent step) and Vendor Credits (covering LLM token costs when not using bring-your-own-key). The platform supports Claude, GPT-4o, and Gemini natively, with built-in cost comparison so teams can route tasks to cheaper models without rebuilding logic. Human-in-the-loop governance is a first-class feature — agents can pause at decision points, request approvals, and escalate edge cases to a human operator rather than failing silently.

Who is it for?

Relevance AI targets revenue and operations teams that need to automate complex, judgment-heavy processes but lack dedicated engineering resources. The visual builder and pre-built integration library (2,000+ connectors) lower the barrier for domain experts to own their own automation stack.

  • Sales development teams building lead-qualification and outbound-prospecting agents that pull from Apollo or LinkedIn, enrich via Clearbit, and draft personalised sequences in Gmail
  • Marketing operations managers automating content pipelines from keyword brief through draft generation, SEO review, and CMS publishing without developer involvement
  • Customer success teams running onboarding checklists, churn-risk scoring, and escalation routing across Salesforce and Slack
  • Enterprise IT and RevOps teams that need SSO, RBAC, audit logs, and data residency to meet compliance requirements before rolling agents out org-wide

How much does Relevance AI cost?

Starting price: $19/mo · Free tier: yes · Model: freemium

Pricing verified JUN 11, 2026

Price history tracked from June 2026

Relevance AI pricing tiers, verified against the official pricing page
Plan Price Includes
Free Free 200 actions/month · 1,000 vendor credits (one-time) · 1 build user · No scheduled tasks
Pro $19/mo 2,500 actions/month · $240/year vendor credits · 2 build users · BYOK support · Scheduled tasks
Team $234/mo 7,000 actions/month · $840/year vendor credits · 5 build users + 45 end users · Shared projects · A/B testing and analytics
Enterprise Custom Unlimited actions and agents · Unlimited users and projects · SSO/SAML, RBAC, audit logs · Dedicated account manager

What are Relevance AI's key features?

  • Visual drag-and-drop agent builder alongside natural-language 'Invent' mode
  • Multi-level autonomy framework (L1 assisted to L4 fully autonomous)
  • 2,000+ native integrations including HubSpot, Salesforce, Gmail, Slack, and LinkedIn
  • Multi-LLM support across Claude, GPT-4o, and Gemini with cost-comparison tooling
  • Human-in-the-loop gates with approval flows and escalation rules
  • Evals system for testing and monitoring agent output quality over time
  • Enterprise security: RBAC, SSO/SAML, PII masking, data residency, and audit logs
  • MCP (Model Context Protocol) integration for programmatic agent orchestration

What people use Relevance AI for

  1. 01 Automating lead qualification and outbound prospecting sequences in sales teams
  2. 02 Running multi-step content marketing pipelines from brief to published draft
  3. 03 Customer success workflows such as onboarding task completion and churn-risk triage
  4. 04 Operations teams replacing manual data enrichment and CRM hygiene tasks with agents

Pros and cons

Pros and cons of Relevance AI
Pros Cons
No-code builder lets non-engineers build production agents without writing Python or SQL Free tier's 200 actions/month is too low for anything beyond evaluation
Dual-meter pricing (actions + vendor credits) makes cost predictable at scale Team plan jumps from $19 to $234/mo — there is no mid-range option
Human-in-the-loop controls make it viable in regulated or high-stakes workflows Vendor credits and actions are separate meters, making total cost harder to estimate upfront
Multi-LLM flexibility lets teams swap models or optimize costs without rebuilding agents Enterprise features require contacting sales; no self-serve path for large teams

What are the best Relevance AI alternatives?

Frequently asked questions

Is Relevance AI free?

Yes. The free tier provides 200 actions per month and a one-time allocation of 1,000 vendor credits. It supports 1 build user but excludes scheduled tasks, BYOK, and credit top-ups.

How much does Relevance AI cost?

Paid plans start at $19/month (billed annually) for the Pro tier with 2,500 actions/month. The Team plan is $234/month with 7,000 actions/month and 5 build users. Enterprise pricing is custom.

What are Relevance AI actions?

Actions are the primary billing unit introduced in the September 2025 pricing restructure. Each agent step or tool call consumes one action. Vendor credits are a separate pool covering LLM token costs when not using your own API keys.

Does Relevance AI require coding?

No. The platform has a visual drag-and-drop builder and a natural-language 'Invent' mode for creating agents without code. API access and MCP integration are available for developers who want programmatic control.

What LLMs does Relevance AI support?

Relevance AI supports Claude (Anthropic), GPT-4o (OpenAI), and Gemini (Google) with built-in model comparison and cost optimization. Teams can also bring their own API keys (BYOK) on paid plans.

How does Relevance AI compare to Zapier or Make?

Zapier and Make are primarily trigger-based automation tools built around linear workflows. Relevance AI focuses on multi-step autonomous agents that reason, make decisions, and handle exceptions without predefined logic branches.

Is Relevance AI suitable for enterprise use?

Yes. The Enterprise plan includes SSO/SAML, RBAC, PII masking, data residency options, audit logs, version control, and a dedicated account manager. Custom action and credit allocations are negotiated per contract.