Technical and operating notes for teams adopting governed agentic quant workflows.
A governance pattern for letting agents accelerate research without granting implicit live trading authority.
How agent runs, approvals, policy checks, and evidence trails can become first-class operating records.
A practical path for moving strategy evidence through review, paper trading, scoped live rollout, and rollback readiness.
Why row-level security, workspace boundaries, and explicit domains matter when agent workflows touch sensitive research data.
A walkthrough of the demo tenant surfaces for agent health, promotion queues, audit events, and operator controls.
How machine-readable contracts, dry-run plans, and structured errors help agents operate through explicit platform capabilities.
How governed agent crews expand the research surface while keeping evidence, approvals, and operating authority explicit.
A practical operating model for reinforcement-learning agents that turns experiments into reproducible and reviewable promotion evidence.
Why live promotion should be a controlled workflow with repeatable evidence, explicit assumptions, and scoped operating authority.
