Expertise that moves work forward

What can we
solve together?

Bring a decision, a product idea, or a delivery problem. We can start with a focused review or agree a full project and team.

01 / End-to-end product delivery

An idea that needs to become a product.

I lead the work from discovery and the first prototype through development, integrations, and launch.

Discuss a new product

You get a working product, a roadmap, and a clear approach to ongoing support.

How we work

  1. Understand users, the business model, constraints, and success criteria.
  2. Choose the architecture and team; agree scope, cost, milestones, and risks.
  3. Build, test real scenarios, complete the required release stages, and establish operations.
Decision Engine: five months from development start to production launch.
02 / Expert review and architecture

Clarity about the next decision.

I review systems, requirements, and vendor proposals to expose trade-offs before they become expensive commitments.

Request an expert review

You get a map of the issues, practical alternatives, and a prioritised action plan.

How we work

  1. Define the question: delivery, cost, reliability, architecture, or data quality.
  2. Review available evidence and discuss constraints with your team.
  3. Decide what to change now, what can wait, and how to verify the outcome.
Experience across banking systems, data governance, graph platforms, and Big Data.
03 / AI / LLM / ML

AI with a job to do.

Document search, information extraction, workflow automation, and agent-assisted development. We start with a useful scenario and measurable criteria.

Discuss an AI challenge

You get a tested prototype, quality and running-cost estimates, and a practical integration plan.

How we work

  1. Choose the workflow and data, human checkpoints, and a way to measure value.
  2. Build the appropriate prototype: RAG, NER, a model, or agents.
  3. Evaluate failures, permissions, cost, and integrations; organise rollout and monitoring.
Personal practice: LAF, a RAG assistant, and applied AI/ML projects. Enterprise experience includes NER and data annotation.
04 / Technology leadership

A leader who brings it all together.

I can join as a technical partner or fractional CTO, connecting business priorities with architecture, teams, and delivery.

Discuss technology leadership

You get a clear plan, explicit ownership, and a working process for technical decisions.

How we work

  1. Agree the remit, intended outcome, and engagement model.
  2. Review the backlog, dependencies, capacity, and risks; identify specialists where needed.
  3. Establish regular delivery, quality control, and team development.
I manage a product portfolio and multiple teams; average time to market for changes is 14 days.

Products and partnerships

Build on working foundations.

I welcome discussions about adapting LAF, my intelligent planner, and AI projects for your company, joint development, or acquiring a product or its implementation. Scope, rights, and support are agreed individually.

Explore the products →

Workshops and speaking

Give your team a shared understanding.

Working sessions on architecture, data, systems analysis, and AI, built around your team’s challenges. My background includes T1 courses, engineering guilds, and conference talks.

Topics and experience →