Control
Write actions that can change connected systems require explicit user approval.
Enterprise
Enterprise governance for AI that touches your real systems.
renlyAI gives security, risk, and platform teams direct control over AI execution across Azure DevOps, Jira, Slack, and more. Entra ID SSO, approval workflows, model tier controls, audit logging, and BYOLLM support — all built into the runtime path.
Executive Outcomes
What enterprise leaders can verify in operations
Evidence
Audit logs capture execution and admin events for operational and compliance review.
Model Governance
Plan limits and BYOLLM settings control model tier access and provider routing.
Operations
Enterprise plans include dedicated support paths and SLA options.
Runtime Controls
Controls enforced in current renlyAI runtime
These controls are available for day-one enterprise deployment and governance review.
Entra ID SSO
Authentication integrates with Microsoft identity and role-scoped access.
Approval tokens
Write actions are paused until users approve the exact proposed operation.
Model tier limits
Model access follows plan limits, with BYOLLM enabled on Enterprise.
Audit logging
Audit events are recorded and can be queried by authorized admins.
Encryption
Sensitive credentials are encrypted with AES-256-GCM before storage.
Fail-closed governance
When extended governance services are unavailable, AI requests are blocked — never bypassed. Security is the default.
Tenant isolation
Governance policies and evaluation data are scoped per organization. No cross-tenant leakage.
Operational Signals
Signals operators and auditors can use immediately
| Signal | Operational Use | Evidence Source |
|---|---|---|
| Approval latency | Track human-in-the-loop cycle time for write actions. | Chat tool execution and approval events |
| Audit event volume | Monitor security and admin activity trends over time. | Organization audit logs |
| Token usage by plan | Control spend and detect unusual usage spikes. | Plan limits and token usage endpoints |
| Provider usage mix | Understand model-provider distribution and routing choices. | AI usage instrumentation metrics |
| Integration action outcomes | Detect connector failures and retry patterns. | Tool and integration execution logs |
Deployment Modes
Deploy to match regulatory posture
Use managed cloud for speed or hybrid patterns when data and effect execution must remain in customer-controlled environments.
Managed Enterprise
Fastest path to production with centralized updates, platform support, and managed controls.
- Rapid onboarding and hardening
- Centralized governance operations
- Enterprise support and SLA options
Hybrid Enterprise
Deployment posture for strict network and sovereignty requirements.
- Data and side effects can stay local
- Centralized operations and audit visibility
- Supports high-control regulated workflows
Ship fast. Stay in control.
Launch with one team in a week. Approvals, identity checks, model policies, and audit logs are already built in — they scale with you.