Human-in-the-loop with explicit decision authority

The decision

Allow agentic execution within governed boundaries while keeping human authority explicit at defined decision points.

Why it mattered

Automating execution must not make responsibility for architecture, risk, acceptance, or exception decisions implicit.

The trade-off

Greater autonomy may increase speed while human review adds latency; in exchange, review preserves accountability and control for higher-consequence decisions.

What changed

Automation can expand execution without turning the agent into implicit architecture or risk authority.

The outcome

The human/agent governance model is defined and used as part of the AI Engineering capability; no generic productivity claims are published.

Summary of a documented architecture decision. Method, mechanism and supporting evidence are not published.