ByHeather MacAvelia·Last verified Jun 24, 2026

Relevance AI

Name: Relevance AI
Author: Relevance AI

★3.9/ 5

by Relevance AI

MCPIndependently Reviewed

Visit relevanceai.com →

Enterprise AI agent platform for building and managing an AI workforce. 2,000+ integrations, MCP support, and SOC 2 compliance. Free trial; enterprise pricing via sales.

From

Custom

custom

GitHub

—

Stars

4.3 / 5

21 reviews ↗

MCP

⚡ Yes

Compatible

Relevance AI is the AI agent platform purpose-built for businesses to design, deploy, and manage an AI workforce of autonomous agents, built around the metaphor that organizations should think about AI agents the way they think about employees: hire them, train them, manage them, and scale them. Founded in 2020 in Sydney, Australia, Relevance AI has grown into a defining brand in the agentic AI platform category with particular strength in GTM automation use cases across sales, marketing, and customer success. The platform targets revenue teams, operations leaders, and founders who want to delegate meaningful business functions to AI rather than just automate individual tasks. Relevance AI connects to 2,000+ integrations spanning all major SaaS categories: CRM (Salesforce, HubSpot, Zoho, Pipedrive), sales engagement (Outreach, Apollo, Instantly), email (Gmail, Outlook), scheduling (Calendly, Cal.com), databases (Airtable, Notion, Google Sheets), communication (Slack, Teams), and data sources. The platform supports all major LLM providers including OpenAI (GPT-4o, o1), Anthropic Claude, Google Gemini, and Mistral, with BYOK (bring your own key) for enterprise customers needing to use their own API credentials. An MCP endpoint is published at /docs/mcp, enabling external AI agents and copilots to query Relevance AI documentation and capabilities. Notable integration gap: compared to n8n and Zapier, the workflow builder has less visual granularity for complex conditional logic and iteration, which suits operator personas better than developer-first teams. Relevance AI has moved from publicly tiered pricing (previously Free at 200 actions/month, Pro at $19/month, Team at $240/month, Business at $840/month) to a fully enterprise sales-led model with no public pricing. All plans now require a sales conversation. Enterprise features include SSO, RBAC, audit logs, agent evaluations, A/B testing, calling and meeting agents, enterprise triggers, and dedicated account management. For teams needing transparent pricing comparable to the former Relevance AI model, alternatives include Lindy (from $49.99/month) or n8n Cloud (from €20/month). Historical context: the tiered model provided a clear self-serve path from free evaluation to scaled team deployment; the current sales-only model adds evaluation friction. Relevance AI is not the right fit for individual developers or technical teams who prefer code-first workflow automation, for whom n8n (open source, self-hosted free) or LangChain (Python framework) provide better tooling. For simple two-app automations without AI reasoning, Zapier ($0 free tier) or Make.com (from $9/month) are faster to set up. For teams prioritizing transparent pricing and self-serve evaluation before committing to a sales conversation, Lindy, Bardeen, or n8n Cloud provide public pricing with trial access. For enterprise teams that need SOC 2 compliance and a managed AI workforce without engineering resources, Relevance AI's positioning is well-matched. Q2 2026 state: Relevance AI launched Invent, a plain-language agent builder that creates agents, tools, and evals automatically from a description. Evals provide continuous quality scoring against domain-expert-defined criteria with weekly trend tracking. Three build paths now available: Invent (plain language), drag-and-drop (no-code), and MCP (programmatic via Claude Code, Codex, or copilots). Named case studies include Qualified ($7M pipeline with 35+ agents), Send Payments (40 hours/week saved), and Zembl (30% more conversions). Enterprise security expanded with PII masking, OTEL and Delta Share observability, SAML 2.0 SSO, and data residency controls. 2,000+ integrations confirmed on integrations page. Relevance AI has raised $40M+ from venture investors. SOC 2 Type II certified and GDPR compliant. Not affiliated.

Pricing

custom

Segment

b2b

Setup

moderate

Verified

Jun 24, 2026

Transparency

Quote Only

Contract

Annual Only

Data training

Not Disclosed

Autonomy

Human Optional

Capabilities

workflow-builderoutbound-automationlead-generationno-codecrm-sync

Pros & Limitations

Editorial assessment

Pros

✓Invent builds agents from plain language descriptions: domain experts describe what they want and the platform creates agents, tools, and evals automatically, with three build paths (Invent, drag-and-drop, MCP) serving operators through to GTM engineers.
✓2,000+ integrations plus MCP support is among the broadest in the AI agent category: comprehensive SaaS tool coverage from Google Workspace to Salesforce, Slack, Asana, Canva, and Notion means agents can handle real GTM workflows end-to-end.
✓SOC 2 Type II certification with enterprise security depth: PII masking, SAML 2.0 SSO, audit logs, data residency, version control, and human-in-the-loop approval gates cover regulated enterprise buyers from day one.

Limitations

⚠Enterprise pricing requires a sales conversation with no published rates: the move from tiered public pricing to sales-only removes the ability to self-serve evaluate costs against Lindy or n8n alternatives, though a free trial is available.
⚠Smaller G2 review base at 21 reviews limits peer validation depth: strong enterprise case studies (Qualified, Send Payments, Zembl) but less mainstream visibility than larger AI agent platforms for procurement teams weighting review volume heavily.
⚠AI workforce positioning requires meaningful investment to deliver value: realizing the productivity gains requires significant time spent designing, training, and evaluating agents, which operations teams may not absorb for casual use cases.