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Practical AI advice, grounded in engineering

AI should earn its place.

AI can be genuinely useful when it solves a real problem, works with the systems you already have and remains understandable to the people responsible for it.

I help organisations assess opportunities, design sensible solutions and put the right guardrails around them. A small, scoped review can identify the best role for AI before you buy a platform or commission a build.

Useful questions before important commitments.

Independent help for small businesses, SMEs and teams that want a grounded view before choosing tools, vendors or a build approach.

Opportunity review

Identify where AI could save time, improve access to knowledge or support better decisions, while keeping the approach appropriately simple.

Solution design & prototyping

Shape a use case, test assumptions quickly and design a maintainable path from prototype to a dependable business tool.

Knowledge & system integration

Connect AI to the right information and workflows using APIs, retrieval patterns, permissions and architecture that preserve flexibility and control.

Technical review & guardrails

Put ownership, privacy, testing, monitoring, human review and practical fallback arrangements around higher-risk AI use.

The foundations make the difference.

The quality of an AI system depends on everything around the model.

That means understanding the process, preparing the data, defining who is accountable, securing connections, testing unusual cases and planning quality checks, exception handling and continuity arrangements.

My AI advice draws on more than three decades of software, systems, data, cloud, integration and delivery experience. Recent work includes architecture for multi-model, knowledge grounded AI systems in education, research, engineering and finance.

Tell me what you hope AI might improve.

I’ll help you work out whether it is feasible, what it depends on and the simplest responsible next step.