From AI use case to AI Factory production.

What the Hub does.

The Hub solves the single hardest problem in enterprise AI: turning a promising use case into a production capability that compounds. Industry research says less than 32% of AI pilots reach production. The Innovation Hub is built to break that pattern by tying every prototype to the AI Factory operating model from day one.

Three-stage flow.

• Use case identification. AI-led screening of where the highest-EBIT-impact opportunities sit. PAVCS-tagged shortlist, prioritised against the value plan.
• Rapid prototyping. Hub engineers stand up working prototypes in days, not months. Senior partners run the value-validation gate.
• Graduate to production. Prototypes that pass the gate are handed to the AI Factory delivery teams under the Transform pillar.

What we solve for.

• Use cases that have been talked about for months but never tested.
• Pilots that worked technically but never scaled.
• AI ambitions blocked by an unclear path from concept to operating model.
• Boards asking where the AI investment is and what it returned.
• Engineering teams unsure where to start when commissioned to "do something with AI".
• Vendors pitching point tools that do not connect to the operating model.
• Innovation budgets that have not converted to P&L impact.
• Functional teams who need an AI capability without a full programme behind it.

How to engage.

Most Hub engagements start with a one-week diagnostic. Senior partner. AI-led screen of the candidate use cases. Recommendation on which two or three to prototype. From there, the prototyping window is usually six to eight weeks.