Getting Started
Quick start guide for Enterprise
Your complete guide to setting up and configuring Relevance AI for Enterprise teams
This guide is designed for Enterprise customers. If you’re not on an Enterprise subscription, contact our sales team to learn more about Enterprise features.
Welcome to Relevance AI for Enterprise! This guide will walk you through the recommended setup process to get your organization up and running with enterprise-grade security, governance, and collaboration features.
Enterprise features in Relevance AI provide your organization with advanced security controls, bulk user management, compliance capabilities, and granular access controls across your AI workforce.
What you’ll set up
Single Sign-On (SSO)
Secure authentication through your identity provider (Okta, Azure AD/Entra ID, or Google Workspace)
Directory sync & groups
Automatic user provisioning and bulk access management from your IDP
Organization structure
Projects, teams, and workspace organization best practices
Role-based access controls
Granular permissions at organization, project, and asset levels
Usage controls
Credit limits, monitoring, and usage alerts across your organization
Event streaming
Audit logs and compliance data streamed to your S3 bucket
Integration governance
Control which third-party integrations your teams can use
API key management
Organization and project-level API keys for secure automation
Data retention
Automatically manage data lifecycle and retention policies
User Level Authentication
Enable agents to use each user’s own credentials for integrations
Visual Data Masking
Mask PII in agent conversation histories and task views for UI privacy (limited beta)
Prerequisites
Before you begin, ensure you have all of these prerequisites. Missing any of these may prevent you from completing the setup process.
Required for setup:
- An active Enterprise subscription with Relevance AI
- Organization Owner or Admin access in Relevance AI
- Access to your identity provider (Okta, Azure AD/Entra ID, or Google Workspace)
- Admin credentials for your identity provider
If you don’t have these prerequisites, contact your Relevance AI sales representative or reach out to support.
Recommended setup order
Follow these steps in order for the smoothest Enterprise onboarding experience. Each step builds on the previous one to create a secure, well-governed AI platform for your organization.
Connect single sign-on (SSO)
Why this matters: SSO is the foundation of Enterprise security. It ensures all users authenticate through your identity provider, enabling centralized access control and compliance.
What you’ll do:
- Configure SSO with your identity provider (Okta, Azure AD/Entra ID, or Google Workspace)
- Test SSO login flow
- Enforce SSO for all organization members
Time required: 30-45 minutes
Enable directory sync & groups
Why this matters: Directory Sync automatically provisions users and syncs groups from your identity provider, eliminating manual user management and enabling bulk access control.
What you’ll do:
- Connect your identity provider directory to Relevance AI
- Configure which groups to sync
- Verify group synchronization
Time required: 20-30 minutes
Feature Status: Directory Sync & RBAC Groups are in Beta with full rollout by November 20, 2025. Contact your sales representative to enable this feature.
Plan your organization & project structure
Why this matters: A well-planned organizational structure makes it easier to manage permissions, track usage, and scale your AI workforce as your team grows.
What you’ll do:
- Decide how to organize projects (by team, department, or use case)
- Plan folder structure for agents and assets
- Determine project ownership and admin assignments
Time required: 15-30 minutes (planning)
Configure role-based access controls (RBAC)
Why this matters: RBAC ensures users only have access to what they need, supporting security, compliance, and operational control.
What you’ll do:
- Assign organization-level roles (Owner, Admin, Member, Viewer)
- Set project-level permissions (Admin, Editor, Member, Chat, Viewer)
- Configure asset-level access for sensitive agents and tools
- Assign groups to projects and assets (if using Directory Sync)
Time required: 30-60 minutes
Set usage limits & monitoring
Why this matters: Usage controls help you manage costs, prevent overuse, and ensure fair resource allocation across teams.
What you’ll do:
- Set organization-wide credit limits
- Configure project-level usage caps
- Set up usage alerts and notifications
- Review usage dashboards
Time required: 15-20 minutes
Connect S3 bucket for event streaming (optional)
Why this matters: Streaming events to your own S3 bucket provides audit logs, compliance data, and usage analytics for your security and data teams.
What you’ll do:
- Create and configure an S3 bucket
- Set up IAM permissions
- Connect your bucket to Relevance AI
- Verify event streaming
Time required: 20-30 minutes
Feature Status: S3 Event Streaming will be fully available by November 20, 2025, with self-serve setup by end of year. Contact your sales representative for early access.
Configure integration controls
Why this matters: Integration controls let you govern which third-party services your teams can connect, supporting security policies and compliance requirements.
What you’ll do:
- Review available integration controls
- Set organization-level integration policies
- Configure project-level integration restrictions
Time required: 15-20 minutes
Set up API key management (optional)
Why this matters: Organization and project-level API keys allow you to centrally manage credentials for integrations, ensuring consistent authentication across your teams and simplifying key rotation.
What you’ll do:
- Configure organization-level API keys for company-wide integrations
- Set project-level API keys to override organization defaults when needed
- Understand key precedence (project-level overrides organization-level)
Time required: 10-15 minutes
If you set an API key at the organization level, all projects will use it unless a project-level key is specified. Project-level keys always take precedence over organization-level keys.
Configure data retention (optional)
Why this matters: Data Retention policies help you meet compliance requirements, reduce security risks, and optimize storage by automatically deleting old data.
What you’ll do:
- Request Data Retention feature enablement from Relevance AI
- Set your organization’s retention period (in days)
- Configure automatic deletion policies for tool runs, conversations, and versions
- Understand what data is protected from deletion
Time required: 10-15 minutes
Feature Status: Data Retention must be enabled by the Relevance AI team. Contact your sales representative to request this feature.
Enable User Level Authentication (Optional)
Why this matters: User Level Authentication allows each user to authenticate with their own credentials when using agents, ensuring privacy and proper access control across integrations.
What you’ll do:
- Enable User Level Authentication on agent tools that use OAuth integrations
- Users will be prompted to connect their own accounts when using agents
- Credentials are saved and reused automatically for future runs
Time required: 5-10 minutes per agent
Enable Visual Data Masking on sensitive agents (Optional)
Why this matters: Visual Data Masking automatically masks PII (email addresses, phone numbers, credit card numbers, and names) in agent conversation histories and task views. This protects sensitive information during screen sharing, team reviews, and demos — while agents continue to process the actual unmasked data.
What you’ll do:
- Request Visual Data Masking enablement from your account manager
- Enable the toggle in agent or workforce Advanced settings
- Verify masking behavior with sample data before rolling out to production agents
Time required: 5-10 minutes per agent (after feature is enabled)
Feature Status: Visual Data Masking is in limited beta. Contact your account manager or reach out to support to have it enabled for your organization.
If any agent in a workforce has Visual Data Masking enabled, PII will be masked across the entire workforce. Plan your enablement accordingly.
Feature rollout timeline
Some Enterprise features are being gradually rolled out. Here’s what to expect:
| Feature | Status | Availability |
|---|---|---|
| SSO (Okta, Azure AD/Entra ID) | ✅ Available | Now |
| RBAC (Organization, Project, Asset) | ✅ Available | Now |
| Directory Sync & Groups | ✅ Available | Now |
| Integration Controls | ✅ Available | Now |
| Data Retention | ✅ Available | Contact sales to enable |
| S3 Event Streaming | ✅ Available | Now |
| Organization & Project-level API Keys | ✅ Available | Now |
| Asset-level Authentication Controls | ✅ Available | Now |
| User Level Authentication | 🔄 Rolling out | Contact sales to enable |
| Visual Data Masking | 🔄 Limited beta | Contact account manager to enable |
If you have an Enterprise subscription but don’t have access to a feature marked as “Beta” or “Gradual rollout,” contact your sales representative to express interest and get early access.
Best practices for Enterprise deployment
Configure security before inviting users
Set up SSO and RBAC before inviting your entire organization. This ensures users have appropriate access from day one and prevents security gaps during onboarding.
Initial security setup
Complete SSO setup and test with a pilot group before enforcing it organization-wide. Configure organization and project-level roles thoughtfully, ensuring that sensitive resources have additional asset-level permissions.
Multi-factor authentication
Work with your identity provider team to enable multi-factor authentication (MFA) for an additional security layer. This is especially important for Admin and Owner roles.
The cost of shortcuts
The security foundation you build now will scale with your organization. Taking shortcuts during initial setup often leads to security remediation work later, which is more disruptive and time-consuming than getting it right from the start.
Use directory sync for teams of 20+
If you have more than 20 users, use Directory Sync and Groups instead of managing individual user permissions. This approach saves time, reduces errors, and scales effortlessly as your organization grows.
Leverage existing structure
Enable Directory Sync with your identity provider and organize users into logical groups based on your existing structure—whether by team, department, or function. Assign entire groups to projects instead of managing hundreds of individual users.
Automatic synchronization
This approach leverages the organizational structure you’ve already built in your identity provider and keeps access control synchronized automatically. When someone joins the Marketing team in your IDP, they automatically get access to Marketing projects in Relevance AI.
Naming conventions matter
Document your group naming conventions early. As your deployment grows, consistent naming makes it easy for project admins to find and assign the right groups. The time invested in setting up Directory Sync properly pays dividends as your organization scales.
Design before you build
Take time to plan your organization structure before creating projects and assets. Restructuring later is more difficult than getting it right from the start.
Start with strategy
Map out your project structure before creating anything in Relevance AI. Decide whether to organize by team, use case, environment, or a hybrid approach. Establish clear naming conventions for projects and assets, and define ownership models.
Think ahead
Consider both your current needs and how you expect the platform to grow over the next 12-24 months. Will you need separate production and development environments? How will you handle shared resources? Where will experimental work live?
Organize within projects
Plan folder structures within projects to keep assets organized. A well-designed structure makes it easier to manage permissions, track usage, and scale operations as adoption grows.
Follow least privilege principle
Grant users the minimum permissions they need to do their work. You can always expand access later, but restricting access after the fact is harder and may disrupt workflows.
Start restrictive, expand as needed
Start by assigning users to the Viewer role and escalate permissions based on demonstrated need. Use project-level permissions as your default access control mechanism, adding asset-level permissions only for sensitive resources that require additional restrictions.
Careful with admin access
Assign project Admin roles carefully—typically just one or two people per project who are responsible for managing that project’s resources and access. Too many admins create confusion about ownership and accountability.
Avoid a single org admin
At the organization level, assign the Admin role to more than one person. Org Admins manage organization users, organization-level settings, org-level API keys and OAuth connections, and project roles—so if your only Admin is unavailable, no one else can manage members or organization-wide settings. Keeping two or more org Admins preserves continuity while still maintaining clear accountability.
Regular audits
Regularly audit permissions during growth phases, especially when teams reorganize or people change roles. The principle of least privilege isn’t just about security—it also reduces confusion by ensuring users only see the resources relevant to their work.
Establish clear policies
Create and document governance policies before scaling your deployment. This prevents confusion, ensures consistency, and helps maintain security standards.
Document your rules
Document who can create projects, what approval processes exist for new integrations, and how teams should name their projects and assets. Establish regular permission audits—quarterly is a good starting point—and create clear workflows for requesting access.
Enable, don’t block
Good governance doesn’t mean slowing teams down. It means providing clear guidelines that help teams move quickly while maintaining security and compliance. When people know the rules and understand why they exist, they’re more likely to follow them.
Make it accessible
Share your policies in a central location that’s easy to find and update them as your deployment evolves. Consider creating a dedicated project or knowledge base for governance documentation.
Test with a pilot team
Before rolling out to your entire organization, test your setup with a small pilot team (5-10 users). This helps you identify issues and refine your configuration without impacting everyone.
Choose diverse pilot users
Select pilot users from different teams and use cases to get diverse feedback. Test SSO login flows thoroughly, verify that permissions work as expected, and ensure usage monitoring is capturing the data you need.
Set up monitoring early
Set up usage alerts during the pilot so you can understand consumption patterns before opening access widely. This helps you set realistic usage limits and identify potential cost issues before they become problems.
Learn and iterate
Gather feedback from pilot users about what’s working and what’s confusing. Use this input to refine your setup, update documentation, and improve onboarding materials. Monitor usage patterns closely for the first 30 days after full rollout—this is when you’ll learn the most about how your organization uses the platform.
Next steps
Once you’ve completed the setup steps above, you’re ready to start building your AI workforce:
Build your first Agent
Create an AI agent to automate tasks and workflows
Create a Workforce
Build multi-agent teams for complex workflows
Start using Chat
Interact with AI agents through conversational chat
Browse the Marketplace
Discover pre-built agents, tools, and templates
Add Knowledge
Connect your data sources to power your agents
Explore integrations
Connect your favorite tools and services
Frequently asked questions (FAQs)
How long does Enterprise setup take?
Most organizations complete the core setup (Steps 1-5) in 2-3 hours. The optional steps (Data Retention, S3 streaming, integration controls) add another 30-60 minutes. If you’re planning your organization structure carefully, allow additional time for that planning phase.
Can I skip steps in the recommended order?
While you can technically skip steps, we strongly recommend following the order. SSO and Directory Sync should always come first, as they affect how users access the platform. Skipping these steps may require you to reconfigure access later, which can disrupt your users.
What if I don't have an identity provider?
Enterprise features require an identity provider (Okta, Azure AD/Entra ID, or Google Workspace). If you don’t have one, you’ll need to set one up before using SSO and Directory Sync features. Most organizations already have an IDP for email and other services.
How do I get help during setup?
Enterprise customers have access to dedicated support. Contact your sales representative or reach out to our support team via your Slack channel or other support methods. We can also provide setup assistance for complex deployments.
What happens if I don't complete all setup steps?
You can use Relevance AI without completing all steps, but you won’t have full Enterprise security and governance capabilities. We recommend completing at least Steps 1-4 (SSO, Directory Sync, Organization Structure, and RBAC) for a secure deployment.
Do I need Directory Sync if I only have a small team?
For teams under 20 users, Directory Sync is optional but still recommended. Manual user management works fine for small teams, but Directory Sync makes it easier to scale and ensures your access control stays in sync with your organization’s identity provider.
Can I use Relevance AI without SSO?
Yes, but it’s not recommended for Enterprise customers. SSO provides centralized access control, enhanced security, and is required for features like Directory Sync. For Enterprise deployments, SSO should be considered essential.
Need help? Enterprise customers have access to dedicated support channels. Contact your sales representative or reach out to our support team for assistance with your Enterprise setup.

