Making AI & data investments profitable.

We help executive teams stop funding the wrong AI & data initiatives, prioritise investment around business value, and stay until the value shows up in the numbers.

If your AI & data investment isn’t paying back, the problem is rarely the technology alone.

“The pilot worked. So why has nothing changed here?”

Proofs of concept that demonstrate what’s possible, but never change how the business operates today.

“It’s on time and on budget. What’s its real worth?”

Projects delivered to plan while nobody can demonstrate whether the business value ever materialised.

“We’re funding dozens. Which initiatives should go?”

A portfolio that grew by request, not by return, leaving investment spread too thin to create impact.

“Everyone agrees on AI. Nobody agrees what changes.”

Different functions pursue different outcomes, without agreement on decisions and results that count.

That gap between strategy and execution is where the money goes. We close it by connecting investment to measurable business value.

How it works:

The AI & Data Value Delivery Process

The AI & Data Value Delivery Process

Why datazuum

Realism, not hype.

We tell you what AI & data can really do for your business, with the numbers. Sometimes that means telling you not to spend the money.

We own the outcome.

We don’t hand over a report and leave. Quarterly reviews keep everyone, including us, accountable for the value.

Global reach.

Work across the UK, Europe, the US, Africa, Latin America and the Caribbean. We’ve seen what works, and what doesn’t, in a lot of places.

Book: The Strategy Canvas for Data & AI

The argument that stuck with me most is that data strategy should be written backward from business outcomes, not forward from capabilities. I have watched too many teams start with “what data do we have” instead of “what decisions need to be better.” Samir Sharma builds a coherent framework that connects this to governance, operating model design, and AI readiness in ways that practitioners can actually use.

Chief Data & Analytics Officer, Financial Services

Highly recommended reading! Samir has distilled his many years of experience in the data & AI space into a highly structured guide that explains to the many leaders and stakeholders involved in data & AI initiatives an overarching design for how to create and maintain a strong and robust value chain connecting business strategy goals with the activity required to realize those goals through the use of data & AI.

Chief Platform Officer, Financial Services

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