Govern AI agents on CrewAI
Add governance to CrewAI multi-agent workflows. The CrewAI pack enforces policy on task delegation, requires approvals for inter-agent handoffs, and provides audit trails across your entire agent crew.
What this pack does
- Policy enforcement on crew task delegation
- Approval gates for inter-agent handoffs
- Output safety on crew results
- Cross-agent audit trail
Use cases
Require approval when agents delegate sensitive tasks
Enforce budget limits on crew execution
Audit the full delegation chain across crew agents
Quick setup
- 1Install the CrewAI pack: cordumctl pack install crewai
- 2Integrate the Cordum governance hook into your crew
- 3Define delegation and task-level policies
- 4Enable the pack and run your crew with governance
Frequently asked questions
How does Cordum govern CrewAI actions?
Cordum evaluates every CrewAI action against your policy before execution. The Safety Kernel returns Allow, Deny, or Require Approval decisions, ensuring agents operate within approved boundaries.
Do I need to modify my existing CrewAI setup?
No. The Cordum CrewAI pack installs as an overlay. It intercepts agent actions at the governance layer without changing your existing CrewAI configuration.
What happens if an agent action is denied?
The action is blocked before execution, logged in the audit trail, and optionally triggers an alert. The agent receives a structured denial with the policy reason, so it can adjust its approach.
Ready to govern CrewAI?
Other integrations
Approval notifications and agent alerts in Slack channels.
Govern AI agent actions on GitHub repositories.
Govern AI agent actions across AWS services.
Governance for AI agents managing Jira workflows.
Govern AI agents responding to Kubernetes incidents.
Feed Datadog alerts into governed agent workflows.