AI pilots are scattered.
Teams experiment, but leadership cannot tell which use cases deserve investment.
AI creates value when it attaches to repeatable work: intake, triage, research, drafting, reporting, documentation, approvals, handoffs, and decision preparation.
Teams experiment, but leadership cannot tell which use cases deserve investment.
Triggers, inputs, decisions, handoffs, exceptions, and outputs become visible before implementation.
The audit ends with ranked opportunities, controls, and a first-system recommendation.
Recurring tasks, source material, decisions, approvals, handoffs, and outputs.
Value, complexity, risk, repeatability, readiness, and data sensitivity ranked together.
Where AI drafts, routes, checks, summarizes, retrieves, or prepares; where people decide.
The sequence of what to pilot, build, govern, measure, and improve.