How does the vendor credit system work for AI model costs?

Vendor credits cover AI model inference costs and are separate from Actions. Credits roll over monthly while on paid plans, and you can connect your own API keys to bypass vendor fees entirely.

What security certifications and compliance standards does Relevance AI maintain?

Relevance AI is SOC 2 Type II certified and GDPR compliant. The platform offers enterprise-grade security including PII masking, audit logs, data residency options, and SSO/SAML integration.

Can non-technical users build and manage AI agents on the platform?

Yes, the no-code builder is designed for domain experts without technical backgrounds. Users can describe what they want in plain language using Invent, or build with drag-and-drop tools.

How does the evaluation framework ensure agent quality and reliability?

The platform includes automated evals that domain experts define with custom quality metrics. Agents are continuously evaluated against these benchmarks across every task and decision.

What integration capabilities are available for enterprise systems?

The platform supports 2,000+ native integrations including CRM, ERP, communication tools, and databases. Enterprise triggers and custom actions enable complex workflow automation.

Listed · Reviewed Jun 2026 · 7-criteria rubric

AI Business Tools

Relevance AI

Name: Relevance AI
Availability: InStock
Author: Relevance AI Inc.

Enterprise AI Workforce Platform for Building Trustworthy Autonomous Agents

by Relevance AI Inc. · San Francisco, CA, USA · Founded 2022

Visit Relevance AI →

Pricing

Contact sales

What is Relevance AI?

Relevance AI is an enterprise platform for building and managing AI agent teams that deliver repeatable, human-quality work across sales, operations, product and support workflows.

It’s aimed at enterprise automation teams, AI practitioners and domain experts who want a no-code surface to compose multi-agent processes while keeping governance and auditability tight.

The platform combines a visual no-code agent builder, an evaluation suite for scenario testing and A/B comparisons, and deployment pipelines with observability so teams can monitor runs, surface failures and track performance over time; enterprise controls include role-based access control (RBAC), audit trails and connectors to 2,000+ integrations for CRMs, data warehouses and messaging platforms.

Relevance AI also exposes orchestration primitives, runbooks and metrics for continuous evaluation. Pricing is enterprise/contact-only, so expect a sales-led procurement process.

Honest trade-off: meaningful value usually requires upfront integration, policy and ops work, and some advanced custom behaviors still need engineering support, so it’s not ideal for solo builders or teams without implementation capacity. As of 2026 it’s pragmatic for organizations that can invest in rollout and governance.

Relevance AI — Enterprise AI Workforce Platform for Building Trustworthy Autonomous Agents Whether you're evaluating Relevance AI for your team or comparing it to alternatives in the AI Business Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.

Relevance AI Demo Video

Key Features 8

Build and deploy autonomous AI agents using no-code drag-and-drop tools

"Invent" text-to-agent generator turns plain English descriptions into working agents instantly

Orchestrate multi-agent workforces visually with a drag-and-drop canvas builder

Human-in-the-loop approval gates with full audit logs and version control

Enterprise-grade security with SSO, SAML, RBAC, PII masking, and data residency controls

Connect to 1,000+ apps including HubSpot, Salesforce, Slack, Notion, and Confluence

Built-in Evals framework for continuous agent testing, monitoring, and performance scoring

Real-time agent performance observability dashboards with OpenTelemetry audit log streaming

Who Is Relevance AI For

1 Enterprise Operations Teams

2 Go-To-Market Organizations

3 Customer Support Departments

4 Business Process Automation

5 AI Workforce Deployment

6 Domain Expert Teams

Pros & Cons

Pros 4 benefits

Enterprise-Grade Governance Framework
Unlimited Agents Across All Plans
Extensive Integration Ecosystem
Strong Security Compliance Posture

Cons 3 limitations

Steep Learning Curve For Beginners
Limited Mobile Functionality
Higher Cost At Scale

Frequently Asked Questions

5 questions

Who is Relevance AI for?

Relevance AI is most useful for Enterprise Operations Teams, Go-To-Market Organizations, Customer Support Departments and Business Process Automation.

Relevance AI pricing

Relevance AI uses contact-based (enterprise) pricing. Contact sales. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.

What's New

New AI Model Integration 2.5

Added support for latest AI models with improved accuracy and speed

Dec 20

Performance Optimization 2.4

50% faster processing and reduced memory usage

Nov 15

View all updates

Security & Privacy

US, EU, Global

SOC 2 Type II GDPR Compliant

End-to-end encryption (AES-256) Two-factor authentication (2FA) SSO/SAML support Role-based access control (RBAC) Audit logs and activity tracking

Collaboration & Teams

Team Workspaces Multi-User Access Role Permissions Shared Projects Comments Version History Activity Log

Learning & Support

Resources

Documentation Video Tutorials Blog Templates

Community

Forum Discord

Support Channels

Email Live Chat Priority Dedicated Manager Onboarding

Localization

UI Languages

100+

Content Languages

Multi-Language UI Auto-Translation

All Features of Relevance AI