RA

Relevance AI

No-code AI workforce platform for agents, multi-agent teams and business automation

Research-based score
4.8
Tested
Features and capabilities4.9

Official Relevance AI materials verify no-code Agents, Workforces, Tools, Invent, Knowledge, scheduling, calling and meeting agents, analytics, evaluations and more than 2,000 integrations.

Usability and implementation4.7

The platform is designed for operations teams and subject-matter experts rather than only developers, though complex agent systems still require thoughtful prompts, tools, permissions and monitoring.

Pricing and value transparency4.4

Free, Pro and Team monthly and annual-equivalent prices, actions and vendor-credit allowances are public, with transparent top-up pricing; Enterprise remains custom.

Integrations, security and trust4.9

Relevance AI publishes SOC 2 Type II and GDPR compliance, encryption, RBAC, SSO/SAML, audit logs, data residency, PII masking and no-training commitments for enterprise use.

Scored by Aditya Verma

Quick facts

Vendor
OnSearch Pty Ltd
Pricing model
freemium
Plan pricing
Free plan; Pro is USD 29/month or USD 19/month billed annually Vendor source checked; not a hands-on review
Free plan
Yes — check limits
Free trial
Not confirmed
Last verified
Not yet verified

About Relevance AI

Relevance AI is a no-code AI workforce platform for building autonomous agents, tools and multi-agent Workforces that complete business tasks across connected applications. Current capabilities include Invent for natural-language building, scheduled tasks, chat, calling and meeting agents, knowledge and RAG, analytics, evaluations, app triggers and more than 2,000 integrations. Pricing combines action allowances with vendor credits for underlying model usage.

Best for

Operations, sales, support and business teams that want to build no-code AI agents and multi-agent workflows connected to their existing application stack.

Relevance AI pros and cons

Pros

  • G2 reviewers commonly praise Relevance AI for making customized AI-agent creation accessible without requiring a traditional software-development project.
  • The current platform supports unlimited Agents and Tools on all plans and lets teams combine agents into Workforces for multi-agent execution.
  • Invent can create and edit agents, tools, workforces, knowledge tables, triggers and evaluations from natural-language instructions.
  • Relevance AI advertises more than 2,000 app integrations and supports custom apps, APIs and multiple model providers including OpenAI, Anthropic and Google.
  • The platform publishes strong enterprise controls including SOC 2 Type II, GDPR, SSO/SAML, RBAC, audit logs, data residency, PII masking and no training on customer data.

Cons

  • −G2 feedback shows a split on value: many users like the automation capability, while some small-business reviewers describe paid pricing as expensive for general use.
  • −Actions and Vendor Credits are separate usage concepts, so total cost requires understanding both platform task volume and model consumption.
  • −Calling and meeting agents, A/B testing and deeper analytics are concentrated in the Team tier, which is a large price jump from Pro.
  • −Agent systems can still fail or take incorrect actions if prompts, tools, knowledge or approval gates are poorly configured.
  • −Enterprise governance such as full RBAC, SSO, multi-organization management and dedicated implementation requires custom pricing.

Features

Scheduled Tasks
Pro and higher · Scheduled executions consume Actions and Vendor Credits.
AI Agents
All plans · Task volume is limited by Actions and model use by Vendor Credits.
A/B Testing and Analytics
Team and Enterprise · Meaningful analysis requires adequate task volume and evaluation design.
Agent Evaluations
Enterprise · Enterprise contract required.
Calling and Meeting Agents
Team and Enterprise · Voice, meeting and external-service usage rules apply.
Invent
Current platform · Generated configurations still require review.
Workforces
1 Workforce on Free; unlimited on Pro and higher · Complex delegation requires careful instructions and monitoring.
2000+ Integrations
All plans with premium and enterprise trigger differences · External applications retain their own permissions and fees.
Tools
All plans · Third-party actions can require external accounts and permissions.
Knowledge and RAG
All plans with storage differences · Knowledge capacity and freshness depend on plan and source configuration.

Platforms

WebAPI

Integrations

Gmail Salesforce HubSpot Google Drive SharePoint Notion Slack Confluence

Pricing

Free
Free
USD 0.00/month with annual billing

Permanent free plan for exploring agent building. Limit: 200 Actions/month Limit: 1 Workforce Limit: 1 build user Billing unit: per workspace Minimum seats: 1

Pro Monthly
USD 29.00/month

Individual and operator tier for recurring agent workflows. Limit: 1 shared project Limit: Team features excluded Billing unit: per workspace/month Minimum seats: 1 Minimum commitment: Monthly

Pro Annual
USD 19.00per month, billed annually

Discounted Pro plan billed annually. Limit: Annual commitment Billing unit: per workspace/month equivalent Minimum seats: 1 Minimum commitment: Annual

Team Monthly
USD 349.00/month

Department and agency plan with collaboration, meetings and analytics. Limit: Large price increase over Pro Billing unit: per workspace/month Minimum commitment: Monthly

Team Annual
USD 234.00per month, billed annually

Discounted Team plan billed annually. Limit: Annual commitment Billing unit: per workspace/month equivalent Minimum commitment: Annual

Enterprise
See pricing details

Custom enterprise AI-workforce deployment with full governance. Limit: Custom quote required Billing unit: custom Contact sales for a quote.

Official pricing / availability source · Checked 23 September 2026. Confirm current taxes, regional terms and allowances. A listed plan is not necessarily the cheapest option.

Editorial verification: Not yet verified. Check the vendor's site for current pricing.

Alternatives to Relevance AI

Relevance AI — frequently asked questions

What is Relevance AI used for?
Relevance AI is used to build no-code AI agents and multi-agent Workforces that complete business tasks across connected software. Teams use it for sales prospecting, support, CRM updates, research, meetings and recurring operations. Agents can use custom Tools, company Knowledge and app integrations, while Invent can create or modify much of the agent system from natural-language instructions.
How much does Relevance AI cost?
Relevance AI has a Free plan with 200 monthly Actions. Pro costs USD 29 monthly or USD 19 monthly equivalent billed annually. Team costs USD 349 monthly or USD 234 annual-equivalent. Enterprise pricing is custom. Paid plans also include Vendor Credits for AI-model costs, and customers can separately purchase extra Actions or Vendor Credits when their included capacity is insufficient.
How do Relevance AI Actions and Vendor Credits work?
An Action is a unit of work completed by an agent, such as sending an email or running a configured workflow. Vendor Credits pay for underlying AI-model usage. The two balances are separate. Relevance AI currently sells extra Actions at USD 40 per 1,000 and extra Vendor Credits at USD 20 per 10,000, while unused Vendor Credits roll over during an active subscription.
What integrations does Relevance AI support?
Relevance AI advertises more than 2,000 application integrations. Current examples include Slack, Gmail, HubSpot, Salesforce, Notion and knowledge connections such as Google Drive, SharePoint and Confluence. It also supports custom apps, APIs and multiple AI-model providers. External products keep their own authentication, permissions and charges, and some premium or enterprise triggers require higher plans.
Is Relevance AI secure for enterprise use?
Relevance AI states that it is SOC 2 Type II and GDPR compliant. Enterprise capabilities include role-based access, SSO and SAML, audit logs, data residency, PII masking, human approval gates and encryption at rest. Its enterprise materials also state that customer data is not used for model training. Buyers should still configure least-privilege integrations and approval controls.
What do G2 reviewers say about Relevance AI?
G2 rates Relevance AI 4.3 out of 5 from 20 reviews. Positive feedback highlights no-code agent creation, integrations and time savings, while pricing reviews show some small-business users consider the platform expensive and note advanced features are concentrated in higher tiers. Twenty reviews is still a relatively small sample, so SearchSagar treats the signal as useful but limited.

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