Playbook · 40 pages
Integrate AI at every level. Without breaking what works.
AI shouldn't be an isolated IT project or one team's shadow experiment. This playbook traces a systemic approach: from onboarding to the C-suite, from knowledge to product — 7 levers to activate AI with measurable ROI, without adoption chaos.
01
AI across 7 levels of the organization
Complete mapping: onboarding, continuous training, internal knowledge, customer support, product, R&D, leadership steering. For each level: 2026-mature use cases, prerequisites, pitfalls, first wins.
02
Data architecture without disruption
How to centralize enterprise knowledge (Drive, Notion, Sharepoint, Slack, emails…) into a unified AI-ready layer — without IT rebuild, without displaced silos, without breaking existing usage.
03
AI governance: who decides, validates, measures
A governance model that works: cross-functional AI committee, IT / HR / Business roles, use case validation cycles, pragmatic KPIs. Avoids shadow AI and post-pilot drop-off.
04
12-month roadmap per function
Pragmatic activation matrix per role (CHRO, CIO, CFO, Head of Ops, L&D, Customer Success…). Where to start, what quick win, when to industrialize. With red flags and deployment checklists.