The POC-to-Production Gap: Why Organizational Readiness Is the Real Bottleneck

dehakuran.com · April 2026 · 3 min read

AI made building a POC ridiculously fast. But it also created a dangerous illusion: if the POC was fast, production should be too.

It won't be. Here's why.

Let's say you've checked every box. The POC proves real value. Your data and pipelines are solid. Your users are on board. Green lights everywhere.

You're still not close.


The Organizational Maze

Because productization isn't an R&D problem. It never was, but today it's more and more an organizational one with AI.

  • IT needs to grant access rights.
  • Privacy needs to clear your data flows.
  • Security needs to sign off on your architecture.
  • Usability needs to validate the experience.
  • Compliance needs to review.
  • Infrastructure needs to scale.
  • And many more unknown pitfalls in the maze...
A maze illustrating the journey from POC Sprint to Production, passing through IT Access Rights, Privacy Clearance, Usability Validation, Security Sign-Off, and Compliance Review

None of these teams were part of your two-week POC sprint. And none of them move at POC speed.

"This is the weakest link nobody talks about. Not the technology. Not the model. Not the data. The organizational readiness around your team."

You can have the best R&D squad in the industry. If they're waiting three weeks for access rights, your AI product is just a deck with a demo link.

The growing POC graveyard in front of us confirms it.


Before You Promise Timelines

Manage expectations. The distance from POC to product is not measured in code. It's measured in organizational alignment.

Invest in your team. Not just technical skills, but also the ability to navigate the maze around them.

And be BOLD enough to stop. If the organization can't enable it, say so early. A killed project saves more than a zombie one that drains your team for months.


The POC is your spark. The organization is your oxygen. Without both, nothing burns.

Frequently Asked Questions

Why do most AI POCs never reach production?

Because productization is no longer an R&D problem — it is an organizational one. IT, Privacy, Security, Usability, Compliance, and Infrastructure all need to sign off, and none of them moved at POC speed. The POC team built the engine; nobody built the road.

What is the biggest bottleneck in AI productization?

Organizational alignment, not technology. The two-week POC sprint typically excludes the gatekeepers whose approval is required to ship — by the time you reach them, the design assumptions are frozen and the rework is expensive.

How can enterprises shorten the POC-to-production gap for AI?

Bring the gatekeepers — IT, Security, Compliance, Privacy — into the POC sprint as design partners, not toll booths to clear afterward. The fastest path to production is to make the production constraints part of the POC itself.

AI StrategyEnterpriseProcess Redesign

Deha Kuran

AI Executive, Engineer, and Evangelist. Head of AI Business Operations at Philips.

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