Relevance AI

    Relevance AI

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    Category:Business Management
    Pricing:Paid
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    Relevance AI lets companies design AI agents that take on work in sales, customer support, marketing, HR and operations, wired into the tools they already use.

    What is Relevance AI?

    Relevance AI is an AI agent platform for building specialist agents and an AI workforce that automates sales, customer success, marketing, HR, support and operations tasks, aimed mainly at mid-size and enterprise companies. It is operated by OnSearch Pty Ltd.

    What is Relevance AI used for?

    Relevance AI is used to turn repetitive processes into specialist agents that run on their own. With Invent, its AI solutions engineer, teams identify what to automate, turn their expertise into reliable systems and improve them over time, even without technical skills. Examples from its site include pre-meeting briefs, post-call notes and follow-ups, booking qualified meetings, deal reviews and proposal drafting.

    How are Relevance AI agents deployed?

    • Weeks 1–2: a deployment team maps your workflows and picks the best use cases.
    • Week 3+: your first team of agents is built, with evaluation, monitoring and governance.
    • Week 4+: the pilot is validated and your team builds new agents independently.
    • A four-level autonomy framework: assisted, copilot, autopilot and self-driving.

    Is Relevance AI enterprise-ready?

    Yes, that is its main focus. It lists SOC 2 and GDPR, data residency, PII masking, audit logs, role-based access control, SSO/SAML, human-in-the-loop approvals, version control, full agent tracing and usage visibility. It states it does not train on your data, connects to 1,000+ apps and lets you choose different AI models per task.

    Relevance AI pros and cons

    • Pro: A deployment team that guides the first use cases.
    • Pro: Enterprise-grade security and governance controls.
    • Pro: 1,000+ integrations and model choice per task.
    • Con: The site targets enterprises and onboarding starts with a demo, so it is not a simple self-serve product.

    It is rated 4.5 stars on G2, and its site features testimonials from teams at Autodesk, Canva and Confluent.

    Relevance AI features and use cases

    •Build specialist AI agents and agent teams.
    •Invent: an assistant that helps decide what to automate and builds it.
    •Sales agents: account research, meeting prep and post-call follow-ups.
    •Multichannel prospecting, meeting booking and proposal drafting agents.
    •Evals, real-time monitoring and full tracing.
    •Choose different AI models per task.
    •SOC 2, GDPR, data residency and PII masking.
    •SSO/SAML, role-based access, human approvals and version control.
    •1,000+ integrations, API and MCP.
    •OTEL and Delta Share export for observability.
    •Use case: a sales team gets an automatic account brief before every meeting.
    •Use case: customer success spots at-risk renewals and escalates them automatically.

    How to use Relevance AI

    1Book a demo with the Relevance AI team.
    2Map your workflows with them and pick the first use cases.
    3Build agents with Invent and connect them to your tools.
    4Set evals, permissions and human approvals.
    5Launch the pilot and measure results with monitoring.
    6Scale to new use cases and higher autonomy levels.

    Relevance AI FAQ

    What is Relevance AI?

    It is a platform for building AI agents and agent teams that automate sales, support, marketing and operations work in companies.

    What is Invent?

    Invent is Relevance AI's assistant that helps identify what to automate, turn team expertise into agents and improve them over time.

    Do I need to code?

    Not necessarily. The site says even non-technical teams can stand up their own agents with Invent.

    How long does it take to get agents into production?

    According to its site, the first agent team can be live from week three, after two weeks of mapping.

    Does Relevance AI have an API?

    Yes. Its site links to API and MCP documentation, plus 1,000+ integrations with other apps.

    Does it use my data to train models?

    No. Relevance AI states it does not train on customer data and offers data residency and PII masking.

    Which AI models does it use?

    It lets you assign different models per task, such as Gemini, GPT, Claude or Kimi, to balance quality and usage.

    What are the best Relevance AI alternatives?

    In this directory, Lindy, n8n and Zapier are alternatives for automating processes with AI agents or workflows.

    Is Relevance AI free?

    Its site targets enterprises and starts with a demo; terms are in the pricing section of this listing.

    Relevance AI pricing and plans

    Pricing on request: no amounts in US dollars (USD) or euros (EUR) are published. Checked on: 26/10/2026.

    Enterprise: contact sales

    • Custom actions and 2,000+ integrations
    • Unlimited agents, users and workforces
    • Calling and meeting agents, evaluations and A/B testing
    • SSO, RBAC and a dedicated account manager

    Relevance AI Screenshots

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