tgroenwals shared this post · Apr 21

Patrick Giwa, PhD

Most businesses do not have an AI idea problem.

They have an execution problem.

I once stepped into a major AI programme with money behind it, internal attention, and plenty of confidence around it.

What it did not have was a clearly defined product.

There was already momentum.
Senior interest.
Big expectations.
Plenty of talking.

But when you stripped it back, the basics were missing.

No clear definition of the problem.
No shared understanding of the workflow.
No real agreement on what needed to be built first.

This is where many teams lose time.

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Ade Shokoya I see this often in my work. A lot of it seems to come down to people knowing they need to do something with AI, but not knowing where to start. Then FOMO/FOBLB kicks in so they just dive in. That isn't necessarily a bad move during times of uncertainty. But it has to be strategically paired with an "inspect and adapt" approach to find what actually works for the business. Apr 20 1 like

Madan Upadhyay Patrick Giwa, PhD
This lands well-execution is where most AI efforts quietly fail.

One addition: the real bottleneck is often decision latency, not ideas. Teams wait for certainty and call it rigor.

How do you push teams to make faster calls without compromising quality? Apr 20 2 likes

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