Relevance AI Review: Features, Pricing & Alternatives

What is Relevance AI?

Relevance AI is a no-code platform for building AI agents that carry out real work, such as researching leads, qualifying inbound requests or updating a CRM. You give an agent instructions, connect it to tools and apps, and decide when it needs a human to approve an action. Several agents can be combined into a Workforce, where each one handles a step of a larger process.

Founded in 2020, the company is based in Sydney and San Francisco. In May 2025 it raised a $24 million Series B led by Bessemer Venture Partners and launched Workforce and Invent, which drafts agents from a text prompt. In September 2025 it split its old credit system into Actions and Vendor Credits, and its Free plan has since been retired for new and existing accounts.

What sets Relevance AI apart is its focus on business teams rather than developers, backed by enterprise controls such as SOC 2 and GDPR compliance, data residency, PII masking, audit logs and human-in-the-loop approvals. It is model-agnostic, so you can choose different models or bring your own API keys.

Key features of Relevance AI

• Agent builderGive agents instructions, tools and knowledge in a no-code interface, then test them.
• WorkforceChain several specialist agents into one multi-agent system so each handles part of a process, such as research, then outreach.
• Invent 2.0Describe what you need in plain English and Invent drafts the agent and its tools for you to review and adjust.
• IntegrationsConnect agents to more than 1,000 apps, including HubSpot, Salesforce, Slack, Gmail, Notion and Gong.
• Human-in-the-loop controlsRequire approval before sensitive actions and monitor runs with tracing.
• Bring your own keysUse your own OpenAI, Anthropic or Google keys on any plan to skip Vendor Credits and pay model providers directly.

Who is Relevance AI best for?

• Sales and RevOps teams who want agents to research accounts, qualify leads and keep CRM records up to date.
• Customer support and success teams who need agents to triage tickets and draft replies with a human approving the result.
• Operations leaders who want to automate multi-step processes without waiting for engineering time.

Popular ways to use Relevance AI

• Lead research: an agent looks up each new lead, summarises the company and writes the findings into your CRM.
• Inbound qualification: score form fills against your ideal customer profile and route good fits to sales.
• Support triage: classify incoming tickets, pull relevant help articles and draft a reply for an agent to approve.
• Meeting follow-up: turn call notes into tasks, follow-up emails and CRM updates.
• Multi-step workflows: combine research, writing and outreach agents into one Workforce that runs on a schedule.

Relevance AI pricing (October 2026)

Plan prices come from Relevance AI’s pricing documentation; the main pricing page now leads with Enterprise and a sales contact. An Action is counted each time an agent runs a tool, extra Actions cost $80 per 1,000 and extra Vendor Credits $20 per 10,000, and Vendor Credits roll over while you stay subscribed.

Relevance AI pros and cons

How to get started with Relevance AI

1. Sign up at relevanceai.com and choose a plan, or book a demo for Enterprise.
2. Try Invent: describe the agent you want and review the draft it creates.
3. Connect the apps the agent needs, such as your CRM, inbox or Slack.
4. Add approval steps for any action that sends messages or changes records.
5. Run test tasks, check the traces, then add a trigger or schedule.

Tips to get better results from Relevance AI

• Connect your own model API keys if you expect heavy usage, so Vendor Credits are not your bottleneck.
• Watch your Action count in the first week, because every tool call uses one.
• Start with one narrow agent and prove it works before building a full Workforce.

Relevance AI vs alternatives

Relevance AI sits between classic workflow tools and full agent platforms. Zapier and Make are better when you want predictable, step-by-step automations with fixed logic, while Relevance AI is built for agents that decide which tool to use. Gumloop targets a similar audience with a strong focus on company-wide agent building and shared credits.

If you want to host automations yourself, n8n offers AI agent nodes with self-hosting. Lindy is simpler for personal assistant-style agents, and Microsoft Copilot Studio suits organisations already standardised on Microsoft 365. See all best AI automation tools.

Our verdict: is Relevance AI worth it?

Relevance AI FAQs

Pricing and features change often. Details on this page were last reviewed in October 2026. Always confirm current plans on the official Relevance AI website.