Turning AI activity into a governed programme

Sector Nutrition and wellness, European operator with teams split across two countries.

The situation

High activity, low confidence, no baseline. AI tools had been bought in pockets across the business with nobody owning them across the company. The technical team sat in one country, commercial leadership in another, and the two spoke different languages about AI. The board wanted proof of progress and there was no measure to give them. Exposure around data and the EU AI Act was real but undocumented.

What CAPIO did

We built the AI Twin first, a live model of the company scored across the seven readiness pillars. The honest baseline came back at thirty four out of a hundred, which turned a vague worry into a named gap the leadership team could act on.

From there we embedded as the company's fractional AI leadership through a compressed operating system sprint. We stood up an AI committee with real decision authority, co-created an AI manifesto that set what AI would and would not be used for, and put KPI baselines and a portfolio dashboard behind every initiative so nothing ran without a number attached. Weekly fluency sessions gave leaders the ability to read and challenge vendor proposals themselves. Most of the value came from putting the technical and commercial teams in one room, on one measure, for the first time.

The outcome

• A named AI owner and an active committee where there had been neither *actual*
• Baseline readiness of thirty four out of a hundred, with a documented roadmap to move it band by band *actual*
• First evidence based decisions to continue or stop initiatives, made on KPIs rather than instinct *actual*
• Board reporting on one consistent measure, and data and AI Act exposure documented rather than assumed *actual*

The score was uncomfortable to see. It was also the first time we all agreed on where we actually stood.

Why it matters. Pilots blending internal people with outside expertise succeed about sixty seven percent of the time, against twenty two percent for go it alone builds, and companies with dedicated AI leadership report ten to thirty six percent higher return on AI. An operating partner is the difference, not a nice to have.

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• Compliance and competence as the growth engine
• Seeing the whole field, not five percent of it
• An expert made available at scale
• The support desk that answers itself
• An expert on tap for a small firm
• Fluency across a whole small company
• Catching fraud before it lands
• Contracts read in seconds
• More jobs per van, fewer miles
• Cutting the energy bill on what you already run
• A small dev team that ships like a bigger one
• Keeping subscribers who were quietly leaving
• Lifting the whole field, not just the top performers
• Buying at the right moment, not out of habit

Case studies are anonymised. Representative outcomes are benchmarked to independent research and illustrate typical results rather than a specific client figure.