Building an AI roadmap your board can actually fund
Boards want an AI plan. Vendors want to sell one. The gap between those two desires is where a lot of budget gets wasted on pilots that never graduate.
Separate leverage from noise
Start by mapping AI opportunities against your real workflows. Where does AI create genuine leverage (hours saved, decisions accelerated, quality improved), and where is it a solution looking for a problem? Discard the second category without apology.
Govern before you scale
Nothing stalls an AI program faster than a security team discovering it late. Practical governance (data handling, model use, oversight) written early lets pilots move fast and satisfies risk. Governance is an accelerator, not a brake, when it comes first.
Make pilots graduate
A pilot without success metrics is a pilot in limbo. Define what "working" means before you start, and build a phased roadmap where each stage has an ROI milestone. That is what turns an experiment into something a board can fund with confidence.
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