Compliance & Legal
In regulated work the second question dominates. The cost of error is not uniform across compliance and legal tasks — and the deployment configuration has to match it precisely. The one hard rule applies here more strictly than anywhere else: high-cost, what you can't afford to get wrong never runs without a named human in the way.
The compliance deployment playbook
Four principles that govern AI deployment in regulated and legal contexts. Each one follows from the second question — the one the savings slide never asks.
The one hard rule
What you can't afford to get wrong never runs without a named human in the way. Full stop. This is the one place there is no room to calibrate — because it is the one place a mistake does not give you a second try.
Human-in-the-loop, specifically
A checkpoint is a named person in the flow of the work — not a dashboard, not a weekly metrics review. In compliance and legal, the reviewer has to be close enough to the output to know what wrong looks like before it lands.
The audit trail IS the checkpoint
In regulated work, documentation is not administrative overhead — it is the control. An AI workflow without a traceable audit trail is an uncontrolled workflow, regardless of how well it performs.
Match the configuration to the cost of error
Not all compliance work carries the same risk. A bad internal policy draft and a missed fraud signal are not the same tier of failure — and the deployment configuration should reflect the difference.
Want to run this in a regulated business?
The 12-Week Program walks compliance and legal functions through every tier of cost-of-error deployment.
From Running at the Speed of Light, Chapters 3 & 4 — Conditions & Diagnostic · Prometheus Press