In 60 minutes, participants will understand why AI initiatives fail to transform digital products, services, and business operations at scale, what a functioning AI Operating Model looks like in practice, and walk away with a concrete transformation roadmap for AI-enabled digital organizations they can apply across 30, 90, and 365 days.

AGENDA

1. The AI adoption reality check

AI hype vs. actual business outcomes - where the gap really is. Current market benchmarks: what top-quartile organizations are achieving vs. the rest. Why having many pilots is not a sign of progress. The uncomfortable truth: most AI programs optimize individual tasks instead of transforming digital products, services, and operating models.

2. Why 70% of AI Initiatives stall

Governance gaps - who owns AI decisions, and why nobody does. Missing change management - technology changes, behavior doesn't. Lack of AI literacy - the gap between what tools promise and what people know how to do.  No value measurement - how to know if AI is actually working. Case study: a real transformation that stalled - and what it cost.

3. Building an AI operating model

AI governance - structure, accountability, decision rights. Embedding AI into the lifecycle of digital products and services - not as an add-on, but as a core capability. AI Champions Network - embedding transformation capability inside the business. Responsible AI - ethics, risk, and trust as enablers, not blockers. Skills framework - what AI-ready means at every level of the organization, from C-suite to frontline.

4. Real transformation roadmap

30 days: quick wins that build credibility and momentum. 90 days: piloting new operating patterns and measuring real outcomes. 12 months: scaling successful AI capabilities across digital products, services, and business functions, retiring what doesn't. Participants receive: AI Transformation Readiness Assessment (PDF diagnostic tool).

5. Live questions + expert commentary