How much does Relevance AI cost?

Relevance AI's paid plans: Enterprise: Custom pricing (talk to sales). Prices were taken from the official pricing page; check it for the current offer.

What is Relevance AI best for?

People use Relevance AI for researching and enriching sales prospects, preparing pre-meeting briefs and post-call follow-ups, flagging at-risk customer renewals, automating contract review and invoice matching.

Which platforms does Relevance AI support?

Relevance AI is available on API, Web.

What are some alternatives to Relevance AI?

Similar tools include ASCN.AI, Expertise AI, Pylon, Quickchat AI. See the Alternatives section to compare them.

Relevance AI

Relevance AI lets enterprises build specialist AI agents and multi-agent workforces for sales, customer success, marketing and operations, with evaluations, monitoring and enterprise-grade security.

What is Relevance AI?

Relevance AI is a platform for building and running teams of AI agents that handle business work in sales, customer success, marketing, support, operations and HR. Companies use it to turn their playbooks into specialist agents, for example one that researches and enriches new accounts, one that prepares a brief before each sales call and one that logs notes and sends follow-ups afterwards. The platform is operated by OnSearch Pty Ltd, trading as Relevance AI, and is available at relevanceai.com.

Its focus today is enterprise go-to-market and operations teams that want to move beyond chat copilots towards agents that run on their own, with governance and monitoring suitable for large organisations.

Key Features of Relevance AI

Invent, the AI solutions engineer

Invent helps staff spot processes worth automating, then builds, manages and refines the agentic workflows itself, so non-technical teams can stand up their own agents.

Specialist agent library

Ready-made agent patterns cover tasks such as prospect research, meeting scheduling, personalised outbound, deal review, forecast roll-ups and proposal drafting, and can be customised by your team.

Multi-agent workforces

Agents can be chained into workforces that react to events and signals, with a framework that moves from assisted work through copilot use to autonomous and self-optimising agents.

Model choice and cost tracking

Each task can run on a different model from vendors such as Google, OpenAI and Anthropic, with dashboards showing tasks run, spend, cost per task and evaluation pass rates.

Enterprise controls

Relevance AI lists SOC 2 Type II and GDPR compliance, data residency, PII masking, audit logs, role-based access, SSO, human-in-the-loop approvals, version control and full agent tracing, and states it does not train on customer data.

Integrations

Agents connect to a large catalogue of business apps, with an API and MCP access for developers.

Relevance AI Pricing

Relevance AI's public pricing page currently lists a single Enterprise plan with no published price. Costs are agreed with the sales team based on your agents, usage and vendor credits, and a deployment team helps map use cases and launch the first agents during the opening weeks.

A sign-up link to try the product is available from the homepage, but no self-serve plans or prices are listed on the pricing page.

Prices checked on October 27, 2026; check the official pricing page for current plans.

Who Should Use Relevance AI?

Enterprise sales teams automating research, meeting prep and follow-ups.
Customer success teams flagging at-risk renewals and nurturing accounts.
Operations teams handling repetitive back-office tasks such as invoice matching or contract review.
Organisations that need audit trails, access controls and data residency for AI agents.

Is Relevance AI Worth It?

Relevance AI is a serious option for larger companies that want agents doing real operational work rather than answering chat prompts. The mix of a builder assistant, ready-made agent patterns, per-task model choice, evaluation tooling and enterprise security covers most of what a governed rollout needs, and an embedded deployment team lowers the barrier to the first project.

The trade-off is accessibility. With only an enterprise plan and no published prices, small teams and individual builders cannot easily judge cost or start on a budget, and success still depends on having clear, documented processes to automate. For mid-size and enterprise go-to-market teams ready to invest in an AI workforce, Relevance AI is worth a demo; smaller teams may prefer self-serve agent builders.