Digidatawise
All articlesPractice

From POC to production: escaping the AI prototype graveyard

Most AI POCs never make it past the demo. Here's the method to get a use case all the way to production.

April 3, 20266 min read
From POC to production: escaping the AI prototype graveyard

Everyone runs POCs. Very few ship them. Between the two lies a gap most companies never cross.

Why POCs die

  • They answer a technology, not a use case.
  • No one defined what success looks like, in numbers.
  • Scaling (real data, security, integration) was never considered.

A POC that dazzles in a demo but nobody uses on Monday morning has proven nothing.

My method

1. Frame by value

We start from a concrete business pain and a measurable indicator. Not "let's do AI".

2. Build thin, but real

I code a prototype wired to real data, in near-production conditions. That's the advantage of the dual profile: what I show, I can ship.

3. Decide on proof

The POC answers a binary question: we industrialise, or we stop. No grey zone.

4. Industrialise

Security, sovereign hosting, integration into the IT system, team upskilling. That's where usage becomes durable.

The real deliverable

It's not a demo. It's a use case in production, measured, adopted, and a team able to keep it alive without me.

Want to go further?

Let's discuss how AI can serve your business.

Get in touch