Fixed scope & question
One clear use case and success criteria.
AI Consultancy
An AI proof of concept (PoC) is a fast, fixed-scope build that tests whether an AI use case works on your real data before you invest in full development. Alugence runs AI PoCs and pilots that prove — or disprove — value in weeks, so you make your bigger AI decisions on evidence, not hope.
An AI proof of concept is a small, time-boxed project that validates a specific AI use case using your actual data and workflows. It answers a clear question — will this work, and is it worth building? — with a working prototype and evidence, before you spend on production. A pilot goes a step further, running the solution with real users on a limited scale.
One clear use case and success criteria.
Built on your real (or representative) data.
Results, limitations, and a clear build-or-stop recommendation.
If it works, a costed plan to scale (implementation).
the use case, data and success criteria.
a working prototype fast.
against real cases and measure results.
— a clear go/no-go with evidence.
production if validated.
Businesses weighing a significant AI investment who want proof first, and teams that need to win internal buy-in with a tangible result.
Frequently asked questions
A proof of concept tests whether an AI use case *can* work, usually as a prototype in a controlled setting; a pilot tests whether it *does* work in practice, running with real users at limited scale. PoC comes first to validate feasibility; a pilot validates real-world fit before full rollout.
Most AI PoCs run in four to eight weeks, depending on data access and complexity. The point is speed — a time-boxed build that gives you a clear answer quickly. Our AI Discovery & Pilot package starts from £15,000 / $19,000; see pricing.
Because full builds are expensive and not every idea survives contact with real data. A PoC finds the problems cheaply and proves value before you commit, dramatically reducing the risk of a costly build that doesn't deliver.
That's still a valuable outcome — you've avoided a much larger wasted investment, and you'll know exactly why it didn't work and what would need to change. Often we learn enough to pivot to a better-scoped use case.
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A 30-minute call. We'll tell you honestly where AI can move your numbers — and where it can't.