Relevance AI

What it does

Relevance AI describes itself as “the home of the AI Workforce” — a no-code platform for building AI agents and coordinating several of them together on a single business process, rather than a single general-purpose assistant. Teams assemble agents visually, connect them to existing tools through a large integration library, and chain specialized agents (research, calling, follow-up) into one coordinated workflow, with A/B testing and evaluation tools to check whether a given agent configuration is actually working before relying on it at scale.

Its pricing model is more complex than a flat subscription: platform usage (“Actions”) and AI compute cost (“Vendor Credits”) are metered separately, which means the advertised entry price doesn’t tell you much about real cost at volume. Anyone evaluating Relevance AI for a business-critical workflow should model expected monthly Actions and Vendor Credit usage against the published rates before committing budget.

Ideal users

• Business and operations teams that want to build custom AI agents without writing code
• Companies automating multi-step processes like lead research, outreach, or support with agents that use judgment rather than a fixed script
• Teams that need to combine several specialized agents — for example research, calling, and follow-up — into one coordinated workflow
• Organizations that plan to connect agents to many existing tools through a large integration library

Who should avoid it

• You're an individual wanting a low-cost, ready-to-go general agent — better served by Manus
• You want a code-first framework you control directly rather than a hosted no-code builder — better served by CrewAI
• You need agents deeply embedded in a specific CRM you already run — better served by Salesforce Agentforce
• Predictable flat pricing matters to you — Relevance AI's dual-meter model (Actions plus Vendor Credits) can spike sharply with volume

Key features

• No-code agent builder with a large library of pre-built integrations
• Multi-agent 'workforce' orchestration for chaining specialized agents together on one task
• Calling and meeting agents for voice-based workflows
• A/B testing and agent evaluation tools
• Analytics and usage dashboards
• Enterprise security features: SSO, role-based access control, and audit logging

Pricing

Free — $19/month (Pro plan, billed annually)

Relevance AI's own documentation confirms four tiers: Free ($0/month, 200 Actions/month plus a one-time Vendor Credit bonus), Pro ($19/month billed annually or $29/month month-to-month, 2,500 Actions/month plus $20/month in Vendor Credits), Team ($234/month billed annually or $349/month month-to-month, 7,000 Actions/month plus $70/month in Vendor Credits), and custom-priced Enterprise. Paid-plan top-ups cost $80 per 1,000 Actions and $20 per 10,000 Vendor Credits.

Typical workflows

• A sales team builds an agent workforce that researches leads, drafts personalized outreach, and hands off qualified conversations to a human rep, coordinated across several chained agents.
• An operations team connects Relevance AI to its existing tools — CRM, calendar, support inbox — and configures agents to triage and route incoming requests without writing custom integration code.

Integrations

• 2,000+ third-party app integrations, including Slack and Salesforce, per Relevance AI's own integrations page
• Custom API and Vendor-Credit connections to OpenAI and Anthropic models

Privacy & security notes

Relevance AI states it does not use customer data to train its models; agent and tool run logs are kept for 30 days on the free tier and retained until deleted on paid tiers, subprocessors are listed publicly, and customers choose a data region (US, EU, or Australia) at signup.