WHAT WE DO / CONSULTING
Clear decisions before costly builds
We help leaders choose the right architecture, cloud and AI approach — and plan it before anything is built.
Most expensive technology mistakes are made before a line of code is written: the wrong platform, a vendor-shaped roadmap, an AI pilot with no route to production. We give you an independent view, a design that fits the systems you already run, and a clear plan for what comes next. We recommend the cloud and model that fit, not the one we resell, and the people who advise you are the people who build and run what you decide.
Our capabilities
Technology strategy
Decide where technology spend should go, what to stop and what to build, in terms the board can fund.
Enterprise architecture
A target architecture that fits the systems you already run and the rules you answer to.
AI strategy & readiness
Find the AI use cases worth doing, check your data and controls are ready, and plan a governed route to production.
Cloud strategy & FinOps
Choose the cloud that fits each workload and get its cost under control before it grows.
Modernization roadmaps
A sequenced, costed plan for aging systems, in steps that are each reversible and useful on their own.
Architecture due diligence
An independent technical read on a platform before you invest in it, acquire it or bet a program on it.
Our solutions
For leaders facing a platform decision that will be expensive to reverse: which cloud, which architecture, build or buy.
- Options assessed against your constraints, not a vendor catalog
- Cost, risk and effort set out side by side
- A recommendation you can defend to the board
For organizations with AI pilots that stalled, or a mandate to use AI and no clear place to start.
- Use cases ranked by value, feasibility and risk
- Data, security and governance readiness checked
- Evaluation and approval steps designed before go-live
- Model-neutral recommendation, with Claude among the options
For estates where every change feels risky and the board wants a number before it approves a program.
- A map of what the current estate actually does
- A sequenced roadmap tied to business outcomes
- A costed plan and business case to fund it
For teams whose cloud bill grows faster than the value they get from it.
- Spend broken down by team, product and workload
- Waste and commitment options identified
- Ownership and guardrails so savings hold
For investors, acquirers and boards who need to know what a platform can carry before they put money behind it.
- Architecture, code and operations reviewed
- Risks rated and explained in business terms
- What it would take to fix each finding
Outcomes
- Decisions that are expensive to reverse are made deliberately, before build begins.
- A clear, scoped next step instead of an open-ended plan.
- A roadmap tied to business outcomes, so funding and delivery capacity line up.
- AI use cases with a governed route to production, not another stalled pilot.
- Cloud and model choices made on fit, not on what someone resells.
- Advice from the people who will build and run it, so the plan is one we have to live with too.
Engagement formats
Blueprint
One named problem, 2–4 weeks. You get a solution design, a delivery plan and a risk register from the team that would build it.
Architecture review
An independent read on a system, platform or design you already have. We tell you what is load-bearing, what is at risk and what to change first.
Advisory retainer
Senior architects on call as your plans meet reality. We review decisions, challenge vendor proposals and keep the roadmap current as the business changes.