AI Enablement in Organizations
A video series exploring how organizations actually build AI capability — not in theory, but in practice. Covering strategy, governance, culture, technology, delivery, and sustainability.
The series is structured around The AI Enablement Framework — six dimensions covering everything an organization needs to make AI work at scale. One of its key outputs is AI Ways of Working — a dedicated framework for building AI-native practices and culture within teams.
Learning Track
FreeTake the Course
The structured way to learn this material. Episodes are connected — each links to short clips, frameworks, and downloadable resources. Work through the curriculum in the right order, not just watch videos.
See the full curriculum →Resources
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Canvases, diagnostic tools, templates, and checklists from each episode. Downloadable, printable, ready to use with your team.
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The AI Enablement Framework
Six Dimensions
Each dimension addresses a distinct failure mode of enterprise AI adoption. Ignore any one of them and the programme stalls.
Direction & Target State
Define where you are going before deciding how to get there.
Leadership & Governance
Build the accountability structure that makes AI adoption inevitable.
People, Culture & Readiness
Address the human side of AI adoption — where most initiatives actually fail.
Technology Decisions & Tools
Make confident AI technology choices — not just tool selections.
Implementation & Delivery
Move from strategy to production — with a pipeline that works.
Learning & Sustainability
Build an AI programme that survives year two — and keeps improving.
See where you stand on these six dimensions
The AI Readiness Radar scores your organization across the whole framework in five minutes — free, no sign-in to start.
The Series
Watch the Episodes
Each episode goes deep on one dimension — practical, research-backed, no hype.
Direction & Target State
Define where you are going before deciding how to get there.
Coming next in this module
More modules in the pipeline
Leadership & Governance
5 episodes planned
People, Culture & Readiness
3 episodes planned
Technology Decisions & Tools
5 episodes planned
Implementation & Delivery
3 episodes planned
Learning & Sustainability
2 episodes planned
Also in the Series
In production6 Additional Episodes
Deeper, more advanced episodes — career transitions, advanced governance, the legal terrain, and what senior AI leadership actually requires. In production.
Data Sovereignty — When Your Data Cannot Leave the Building
The most common advanced question in regulated industries: how do you get AI value without giving your data to the cloud? A practitioner's guide to on-premise AI, private deployment, and the real tradeoff between capability and control.
The CAIO Role — What It Actually Is and How to Build Toward It
What senior AI leadership actually requires — the three versions of the role, the four capability requirements, the four failure modes, and how to position yourself for it. A mentorship session in video form.
Agentic AI Governance — The New Problem Nobody Has Solved Yet
What happens to your governance model when AI can take autonomous action? The specific controls, scope definitions, and monitoring architecture that enterprise agentic AI requires — and why they're categorically different from governing prompted or automated AI.
Navigating Works Councils and Co-Determination in AI Rollouts
The specifically European challenge that will make or break your deployment timeline. The Microsoft Copilot / Works Council case study, how co-determination rights apply to AI, and how to engage Works Councils in a way that speeds deployment rather than blocking it.
AI Enablement as a Career — Making the Transition from Engineering to Enablement
For engineers, data scientists, and technical leads who want to move toward the business and organizational side of AI. What this transition actually requires, what experience translates, and the honest answer about the path.
Your First 90 Days as an AI Enablement Leader
A concrete action plan for anyone starting, restarting, or inheriting an AI programme. Days 1–30: understand before you build. Days 31–60: establish the foundation. Days 61–90: create visible momentum.
These episodes are in production and will be added to the series as they are filmed.