Technology & Product Leadership

Three services, one operating principle.

Decide from the business down.

Choosing and building technology is harder when every decision has to satisfy regulators, oversight boards, funders or auditors, not just a product roadmap.

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Technology & architecture

Technology & Product Leadership

Enterprise architecture, cloud and AI strategy, and product roadmaps built around real user need. Industry-standard frameworks where they help, never as a substitute for judgement.

  • Enterprise architecture
  • Cloud & AI strategy
  • Product roadmaps
  • Partner management
Works at layers 1 and 4: business capabilities, application and technology
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Governance

Governance, Risk & Compliance

AI and data governance frameworks that are audit-ready and regulation-aligned. EU AI Act, GxP and data regionality, designed to speed up sign-off, not slow it down.

  • EU AI Act
  • GxP
  • Data regionality
  • Board oversight
Works at layer 2, data, and sets the guardrails across every layer
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Delivery & partners

Delivery & Transformation Assurance

Risk-managed delivery and PMO leadership for complex programmes. Partner management on both sides: technical integration with hyperscaler and platform vendors, and the commercial negotiation and cost control that keeps them accountable.

  • PMO leadership
  • Technical & commercial partner management
  • FinOps
  • M&A integration
Works at layers 3 and 5: integration, operations and support
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The operating principle

Decision Layers

Five layers, from the business down. Problems surface at the bottom, in outages and failed audits. They start at the top, with a need nobody pinned down. So every decision is worked from layer one downwards, never the other way round.

  1. 1

    Business capabilities

    Technology & Product

    What must the service do, and what should get better?

    Map capabilities, not features. Like-for-like is a trap: replicate the needs, not the old customisations and workarounds.

  2. 2

    Data

    Governance, Risk & Compliance

    Who owns which data, and is it clean enough to move?

    Name data owners, set a single point of entry, and cleanse before migration. Data is the biggest migration risk and the no-regrets work.

  3. 3

    Integration

    Delivery & Transformation

    What connects to it today?

    Inventory every interface. Put stable APIs in front so consumers don’t break during the swap, and decide the future of existing middleware explicitly.

  4. 4

    Application and technology

    Technology & Product

    What are we choosing, and how?

    Agree selection criteria up front: fit, five-year cost, group and platform standards, cloud fit, supportability and exit options.

  5. 5

    Operations and support

    Delivery & Transformation

    Will it be more reliable than what it replaces?

    Find the root causes of today’s major incidents. Causes in integration, data or change control travel to the new platform unless they’re fixed.

The How.

The habits applied within every layer: how options get weighed, decisions get made, and what gets deferred.

  • Evaluating options

    “If we can’t say what would change our mind, we haven’t evaluated it.”

    Criteria first. At least three options, always compared against doing nothing.

  • Making architecture decisions

    “Most decisions should be made by the principles, not by me.”

    Principles answer most questions by default, so only exceptions need a forum. Decisions are recorded, and the process matches how reversible the decision is.

  • Risk, cost and commercial benefit

    “A cheap option that risks revenue isn’t cheap.”

    All three in one view. Ranges, not single numbers. Cost of delay included, and a named owner for each risk.

  • Strategic prioritisation

    “If everything is priority one, nothing is.”

    Every item tied to a business goal, weighed on value, cost of delay, effort and risk. Honest about capacity, with work in progress kept limited.

  • What to defer, and why

    “Deferring is a decision, not neglect.”

    Defer when it’s reversible, the cost of delay is low, it depends on an unresolved decision, or waiting lets you learn cheaply. Never defer security, compliance or basic data quality. Every deferral gets a revisit date.

  • Best practice versus business need

    “I’ll bend a standard for the business, but never by accident.”

    Best practice is the default, not a rule. Departures are deliberate, with a recorded reason, an owner and a way back, and tracked as technical debt.

  • Working with partners

    “A sound integration with a poor contract behind it still fails.”

    Technical alignment to the roadmap and commercial accountability after signature are managed together, not by separate teams.

See how it would apply to you.

A short conversation about your situation, not a pitch deck.

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