A whitepaper on turning strategic intent into a governed AI roadmap, by Jon Ward, Director, Beneficial Consulting.
Most organisations approach AI planning backwards. They start with a list of what AI can do in their sector and work forwards, hoping relevance will follow. It rarely does. This paper argues for the reverse: start from the strategy map the organisation already has, or should build, and let the AI roadmap fall out of it. An AI opportunity is only ever right or wrong relative to a specific strategy, never in the abstract, and a roadmap earns a board’s confidence when it is governed by one named boundary from the outset, not by a risk appendix attached afterwards.
In this new whitepaper, I set out:
- Why a generic use-case list answers the wrong question — and why it is easy to produce, easy to present, and very often ignored within a year.
- A worked example of two companies in the same sector with opposite strategies, given the same AI capability, to show why an opportunity is only ever good or bad relative to your own strategy.
- Why you should start from the strategy map you already have (or build one first) rather than a capability list, so every AI opportunity ties to a named box on that map.
- Why the governing boundary — the one thing about how your organisation wins that AI must never be allowed to quietly undermine — has to be named before a single opportunity is written down, illustrated with three contrasting examples: a regulated insurer, a luxury goods house, and a heavy equipment manufacturer.
- A six-step method for turning a completed strategy map into a roadmap a board will actually fund.
Download the full whitepaper:
Why Your AI Roadmap Should Start With a Strategy Map — download the PDF
If your organisation already has a strategy map and wants help turning it into a governed AI roadmap using this method, or needs help building the map first, I would be glad to talk it through. Get in touch.