The approved toolkit: better options than shadow AI

Policy without product loses every time. If your approved stack is slower, dumber, or harder than free consumer AI, shadow AI persists — with greater risk. The approved toolkit must win on merit for the workflows that matter most.

Start from your shadow AI inventory (day eight). For each high-use case, define requirements: languages needed (Arabic/English quality matters in META), integration points, data retention controls, admin visibility, cost ceiling. Issue a focused evaluation — two or three options per use case, two-week trials with real work.

Standardize sparingly. One writing assistant, one meeting tool, one code/research environment if needed — not fifteen overlapping subscriptions. Standardization reduces training burden and governance surface. Allow narrow exceptions with documented justification.

Onboard practically: 30-minute live demo on actual company templates, shared prompt library for recurring tasks, named internal champion for questions. Adoption follows ease, not mandates.

Review toolkit quarterly against shadow signals. If shadow resurfaces, diagnose why — missing feature, bad UX, wrong pricing tier — before blaming staff. The goal is governed productivity, not compliance performance.