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Patrick Giwa, PhD

Patrick Giwa, PhD

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I believe AI should impact our day-to-day lives. So I am building a business that… · Experience: AI Impact · Education: University of Warwick · Location: London Area, United Kingdom · 500+ connections on LinkedIn. View Patrick Giwa, PhD’s profile on LinkedIn, a professional community of 1 billion members.

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tgroenwals shared this post · Jun 25
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Patrick Giwa, PhD
Patrick Giwa, PhD

Small businesses can win with AI faster than big companies.

Small businesses can win with AI faster than big companies.

These 6 simple steps will help you start.

Most people think AI belongs to large companies.

Big budgets. Big teams. Lots of meetings where nothing gets decided.

I know this because I've worked 10+ years in corporate.
I've been in situations where we took 6 weeks to approve a tool to collect data to improve a product.

But small businesses have an unfair advantage.

They can move faster.

You do not need a huge AI strategy plan.

You need a clear place to start.

Here is the simple roadmap I would use.

Jonathan Whipple This is exactly why startups often outlearn bigger companies. Large organizations have more resources, but they also have more approval layers, more stakeholders, and more reasons to keep doing things the old way. Small teams can test an idea on Monday and learn from it by Friday.
Patrick Giwa, PhD Author Small teams move quicker since fewer steps slow down action and learning, Jonathan.
tgroenwals shared this post · Apr 21
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Patrick Giwa, PhD
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