AI Implementation Discovery · Business Analysis · AI Capability

Start with the work,
not the technology.

I help businesses build that understanding and identify where AI or automation can create practical value.

Explore how I work

Understanding before implementation.

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Business Analysis

Complex problems rarely begin with an obvious solution.

I use research and analysis to understand what is actually happening inside a business, market or process.

This might mean examining how a workflow operates, identifying why opportunities are being lost, understanding what customers actually need, or finding the disconnect between a business requirement and the solution being proposed.

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AI Capability

Useful AI capability does not require employees to become developers.

I help organisations develop practical AI capability within the people who already understand how the business works.

By applying AI to real work, employees learn where it can improve research, analysis and information handling — and begin to recognise the repeatable tasks and processes that could increasingly be delegated or automated.

A research-led approach

Start with the work,
not the technology.

AI creates the most value when it is applied to a clearly understood business problem.

This means understanding how work actually happens: where information moves, where time is consumed, where processes break down, and which decisions require experience, context and accountability.

Only then does the technology question become useful.

“Automate around the decision, not the decision itself.”

This same principle applies commercially. Understand the customer, the market and the problem before designing the solution.

Research & Analysis

Connecting sector context with the reality of the work.

My current research examines AI adoption, operational change and internal capability across different industries — combining sector research with detailed analysis of the workflows, pressures and business requirements specific to each market.

Brendan Hamnett

Commercial experience.
Analytical thinking.
Practical AI strategy.

I have spent more than 25 years working across business development, commercial strategy and consultancy, predominantly in complex B2B environments.

My approach has always been research-led. Understand the market, understand the customer and understand the problem before deciding what comes next.

This has involved working between technology suppliers and public-sector buyers, where translating different commercial and operational perspectives was often as important as the technology itself.

I began working extensively with generative AI in 2022, initially exploring how professional knowledge could be translated into effective instructions and repeatable processes. This developed into a broader interest in workflows, automation and where AI should — and should not — be applied.

Today, my work brings those areas together: business analysis, research, commercial understanding and practical AI implementation strategy.

The technology changes. The underlying principle remains the same: understand the problem before designing the solution.

Start a Conversation

A useful conversation
starts with the problem.

If you’d like to discuss an operational challenge, explore where AI could create practical value within your organisation, or simply compare notes on something I’m researching, get in touch.