Most Copilot and GenAI rollouts stall after the pilot. This program is designed to take your organization from initial strategy through scaled adoption with a structured, four-phase approach: Strategy → Pilot → Scale → Reinforcement. Each phase has clear deliverables, success metrics, and decision gates so you always know what’s working and what to adjust.
IT leaders, AI/digital transformation teams, and CxOs at mid-to-large enterprises who have licensed Microsoft 365 Copilot, GitHub Copilot, or Azure OpenAI but are not seeing the productivity gains they expected. Also suitable for organizations planning their first GenAI rollout and wanting to get it right from day one.
Phase 1 — Strategy & Discovery: 1–2 weeks. Stakeholder interviews, readiness assessment, use-case prioritization.
Phase 2 — Pilot Sprint: 2–4 weeks. Selected teams run structured experiments with Copilot. Weekly check-ins and metrics collection.
Phase 3 — Scale: 4–8 weeks. Org-wide rollout with role-based tracks, curriculum delivery, and change management support.
Phase 4 — Reinforcement: Ongoing. Monthly office hours, prompt pack refreshes, adoption dashboard reviews, and advanced sessions.
Training teaches features. This program drives adoption. You get a structured roadmap, pilot metrics, org-wide rollout planning, and ongoing reinforcement — not a one-off workshop that people forget in a week.
Absolutely. The program is designed with phase gates. Many clients start with Phase 1 (Strategy) and Phase 2 (Pilot) before deciding to proceed with full-scale rollout.
Yes. I deliver adoption programs for both business users (M365 Copilot) and engineering teams (GitHub Copilot), with separate enablement tracks and prompt packs tailored to each audience.
