AI Productivity / AI Adoption Framework
Executive Playbook

From AI Experimentation to Company-Wide Adoption

How mid-market leadership teams cross the chasm from pilot enthusiasm to sustained, measurable operational return.

The 4 Phases of Corporate AI Maturity

Phase 1: Shadow Experimentation (Status Quo) High Risk / Low Capacity Gain

Individual staff use consumer accounts to summarize emails or draft letters. Security has no visibility, processes remain manual, and firm IP is at risk.

Phase 2: The Workflow Opportunity Audit Assessment

Leadership conducts a structured time study of department administrative overhead, scoring high-friction document and reporting tasks by capacity recovery and feasibility.

Phase 3: The 30-Day Department Sprint (Recommended Start) Proven Payback

One pilot department (e.g. Client Operations, Practice Advisory, or Recruiting) redesigns 3–5 core workflows with production prompt runbooks, SOPs, and governance guardrails.

Phase 4: Company-Wide Operating Knowledge Enterprise Scale

Proven workflow architectures are rolled out across adjacent departments with centralized governance, continuous capacity monitoring, and API automation.

Start With One Focused Department

Don't try to transform the entire company at once. Start with a single 30-day workflow sprint and prove measurable productivity in one department first.

Book a 20-Minute Fit Call → Explore Sprint Methodology