Estimate what a tighter pack would do before you roll it out.

This is a public-safe simulation surface: pick one lane, estimate pressure, and generate the kind of default policy pack teams can reason about before rollout.

Inputs

Lane posture

Lane 30-day actions Average amount (USD) Approval threshold (USD) New counterparty rate (%) High-risk rate (%)

Suggested pack

research-safe

Best fit for one runtime lane with paid API calls and clear mandate thresholds.

json

Simulated result

Buyer-readable replay

Why it matters

Review burden should be visible before rollout

A good pack reduces unsafe autonomy without flooding operators with unnecessary review work.