What is Relevance AI?

A no-code platform for building AI agents, and teams of agents, that automate multi-step tasks across sales, support and research workflows.

Do I need to code to use it?

No. You describe an agent's role, give it tools and data, and configure it visually, though useful workflows still take iteration to refine.

Can Relevance AI connect to my CRM?

Yes. Agents can read and update CRM records such as HubSpot, so their output lands in the system your team already works in.

Are AI agents reliable enough for production?

They handle repetitive tasks well, but outputs can be wrong, so customer-facing use should keep guardrails and a human review step.

Platform · ai agent automation

Relevance AI

Build AI agents and multi-agent teams that run business workflows

est. 2020AustraliaAI ecosystem: high1 AI tools fit

Visit Relevance AI→relevanceai.com

The verdict

Relevance AI is a no-code platform for building AI agents, and teams of agents, that automate tasks across sales, support and research. Operators use it to assign work to agents rather than write automation scripts.

What it is

Relevance AI lets a team assemble agents that follow instructions, call tools and hand work to one another like a small workforce. You describe a role, give the agent tools and data, and it executes multi-step tasks such as enriching leads or drafting replies. Templates speed up common jobs. The honest limits: agent reliability still needs testing and guardrails, complex workflows take iteration to get right, and outputs require human review before they reach customers.

Strengths

No-code builder assembles agents and multi-agent teams from a description
Agents call tools and data to complete multi-step tasks, not single prompts
Templates shorten setup for common sales, support and research jobs

Trade-offs

Agent reliability still needs testing, guardrails and human review
Complex multi-agent workflows take real iteration to make dependable
Outputs can be wrong, so customer-facing use needs a review step

Best for

Standing up an agent or small agent team to handle repetitive research, enrichment or drafting tasks.

Not for

Mission-critical processes that cannot tolerate occasional agent errors without close human review.

AI tools that fit Relevance AI

Scored on how well each tool actually works with Relevance AI — integration depth, workflow fit, and real adoption. Higher is better.

HubSpot

AI-powered CRM

6.7

See the full AI tool guide for Relevance AI→

The AI ecosystem

Integrations with CRMs/data/comms tools, public API, Zapier, multi-LLM support, and a tool/agent builder. AI-agent ecosystem; agents act across the rest of the stack.

Public APIZapierRelevance AI integrations / tools

Pricing

Free tier; paid Pro and Team/Business plans scaling by credits/agents/seats (roughly from the high tens of dollars per month upward). Usage/credit-based for agent runs.

Free

limited credits
build/test agents

Pro

Custom

more credits
core agent features

Team/Business

Custom

multi-agent teams
collaboration/scale

What people build with it

build AI agentsmulti-agent teamssales and SDR automationresearch and data enrichmentsupport and ops automation

Frequently asked

What is Relevance AI?: A no-code platform for building AI agents, and teams of agents, that automate multi-step tasks across sales, support and research workflows.
Do I need to code to use it?: No. You describe an agent's role, give it tools and data, and configure it visually, though useful workflows still take iteration to refine.
Can Relevance AI connect to my CRM?: Yes. Agents can read and update CRM records such as HubSpot, so their output lands in the system your team already works in.
Are AI agents reliable enough for production?: They handle repetitive tasks well, but outputs can be wrong, so customer-facing use should keep guardrails and a human review step.