AI Consultancy

AI proof of concept and pilots

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.

What is ai proof of concept and pilots?

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.

How we help

Fixed scope & question

One clear use case and success criteria.

Working prototype

Built on your real (or representative) data.

Evidence & recommendation

Results, limitations, and a clear build-or-stop recommendation.

Path to production

If it works, a costed plan to scale (implementation).

Our process

  1. Define

    the use case, data and success criteria.

  2. Build

    a working prototype fast.

  3. Test

    against real cases and measure results.

  4. Decide

    — a clear go/no-go with evidence.

  5. Plan

    production if validated.

Outcomes and benefits

  • Evidence-based confidence before a big commitment.
  • A working prototype in weeks, not months.
  • Lower risk — you find the dead ends cheaply.
  • A costed route to production for what works.

Who this is for

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

Common questions, answered directly.

What is the difference between a proof of concept and a pilot?

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.

How long does an AI proof of concept take?

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.

Why not just build the full solution?

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.

What happens if the PoC doesn't work?

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.

Start the conversation

Find out what looking further could do for your business.

A 30-minute call. We'll tell you honestly where AI can move your numbers — and where it can't.