An AI assistant that handles your email, meeting notes and follow-ups from Slack.
Automation & Workflows
Relevance AI
Build a team of AI agents for sales, support and ops work, without writing code.
3.7our rating
PaidWorks with Claude Code
Quick take
- Built for teams that want AI agents doing sales research, meeting prep and follow-ups.
- The public pricing page now lists only Enterprise. Older guides quoting $19 or $234 plans are out of date.
- Credit use has been the top complaint: hard to predict, and hard to see where it went.
- Strong on governance: approvals, audit logs, testing and monitoring for agents.
What is Relevance AI?
Relevance AI is a platform for building and running AI agents that do repeat work for a team. You describe the job (research a new lead, prep for a meeting, update the CRM after a call, draft a proposal), give the agent tools such as your CRM, inbox and LinkedIn, and set how much it can do alone versus what needs a human to approve. It comes with ready-made sales agents and lets teams monitor, test and govern agents as they scale. The company started in Sydney and its customers include Canva, Databricks and Autodesk.
Pick it over Zapier, Make or n8n when the work needs judgement (reading a prospect's website, writing a tailored email) rather than moving data between apps on fixed rules. Lindy is easier for one person's assistant-style agents, and Gumloop suits marketers building single workflows. Relevance is aimed at sales and operations teams running many agents with governance.
The catch: self-serve plans have disappeared from the public pricing page, so you now go through sales. Users have long complained that credit use is hard to predict and audit, that agents can stall mid-task, and that the docs struggle to keep up with how fast the product changes.
Who's using it, and who it's for
- Sales teams
- Revenue operations
- Customer success
- Operations teams
Sales and revenue operations teams at growing companies who want AI agents doing research, prep and admin.
Key features
No-code agent builder
Describe an agent's job, connect its tools and set rules without writing code.
Ready-made sales agents
Templates for lead research, meeting prep, post-call actions, outbound and deal reviews.
Human approvals
Choose which steps an agent can do alone and which wait for a person to approve.
Testing and monitoring
Evaluate agents, A/B test them and trace what each one did and what it cost.
Large integration library
Connects to CRMs, email, calendars, LinkedIn, data warehouses and support tools.
API and MCP
Agents and tools can be called from other apps or from AI assistants.
How we rate it
3.7 / 5
Our rating
From using the tool ourselves. The average of the five scores.
- Ease of use
- 3.5
- Features
- 4.5
- Output quality
- 4.0
- Value for money
- 3.0
- Speed & reliability
- 3.5
How quickly someone non-technical gets value from it.
How completely it covers its own job, and how well the pieces fit together.
How good the results are before you fix them.
What you get for the price, including the free plan.
How fast it is and how often it falls over.
Relevance AI pricing
- Our pick
Enterprise
Custom
Teams rolling out agents across a department.
- Unlimited agents, users and projects
- Calling and meeting agents
- SSO, role-based access and audit logs
- Dedicated account manager
Which plan should you pick?
There is only one public option now: talk to sales for an Enterprise quote. Ask for a usage cap and clear reporting on credit spend in the contract.
Prices in USD unless noted, checked 22 October 2026. Vendors change plans often, so confirm on their site before you buy.
Best use cases
Ways Relevance AI can slot into your week.
- 1
Research every new lead
When a lead lands in the CRM, an agent reads their website and LinkedIn and writes a short brief for the rep.
- 2
Prep for sales calls
Before each meeting, an agent pulls past emails, deal notes and company news into a one-page brief.
- 3
Act on call notes
After a call, an agent updates the CRM, drafts the follow-up email and books the next step for approval.
- 4
Draft proposals
Feed in the deal details and an agent drafts the proposal from your templates for a rep to finish.
How it fits your tech stack
Pros and cons
Pros
- Ready-made sales agents save setup time
- Good controls for approvals, testing and monitoring
- Wide range of integrations
- Used by large, well-known companies
Cons
- No public self-serve pricing any more
- Credit use is hard to predict and audit
- Agents can stall mid-task and need watching
- Fast-changing product and docs make it harder to learn
Relevance AI alternatives
The closest alternatives to Relevance AI in the library, best rated first.
n8n
4.5
Best for AI agents that act on email or chat
Compare with Relevance AI
Make
4.3
Best for multi-step marketing workflows
Compare with Relevance AI
Zapier
4.2
Best for sending form submissions to spreadsheets
Compare with Relevance AI
Parseur
4.1
Best for order and booking emails into a spreadsheet
Compare with Relevance AI
Why it made the list
It is one of the best-known no-code platforms for building AI agents that work across a sales team's tools.
Relevance AI FAQ
How much does Relevance AI cost?
Pricing isn't published; check the vendor's site for a quote. Prices checked 22 October 2026 against Relevance AI's pricing page.
Is Relevance AI free?
No. Pricing isn't published; check the vendor's site for a quote.
What is Relevance AI best for?
Relevance AI is best for sales research and meeting prep, post-call follow-ups and CRM updates and teams running many agents with approvals. Sales and revenue operations teams at growing companies who want AI agents doing research, prep and admin.
What are the best Relevance AI alternatives?
The closest alternatives are n8n, Make, Zapier and Parseur. n8n is best for AI agents that act on email or chat.
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