Enterprise-grade agent lifecycle.
Build, test, evaluate, deploy, monitor, rollback, and retire AI agents with full governance at every stage.
Create
Define agent identity, purpose, role, scope, and initial configuration.
Configure
Select models, tools, memory, policies, and authority boundaries.
Test
Functional, safety, security, adversarial, and cost-efficiency testing.
Evaluate
Benchmark against acceptance criteria and historical baselines.
Approve
Human-in-the-loop review with segregation of duties enforcement.
Deploy
Staged rollout with canary testing and traffic management.
Version
Immutable version history with full configuration provenance.
Monitor
Real-time performance, cost, drift, and safety monitoring.
Rollback
Instant rollback to any previous version with state preservation.
Quarantine
Isolate underperforming or risky agents for investigation.
Retire
Graceful deprecation with dependency analysis and knowledge capture.
Deployment Pipeline
Status: AVAILABLE — production-ready lifecycle management