A clear plan for your data estate.
Data architecture, integration design and technology decisions grounded in your systems, business questions and operating constraints.
Why this is hard.
The most expensive mistakes in software are architectural — the wrong platform, the wrong build-vs-buy call, the integration pattern that won't scale. They're cheap to prevent and brutally expensive to unwind after eighteen months of building.
Vendors will happily architect around their product. What you need is independent, senior judgment from people who will also stand behind the recommendation — because we build systems like yours for a living.
What we do.
- Architecture reviews — an independent, evidence-based read on your current systems, risks and bottlenecks
- Technology selection — build-vs-buy and platform decisions argued from engineering reality, not vendor decks
- Scalability and resilience design — what breaks first, and the cheapest path to fixing it before it does
- AI-readiness assessment — what your architecture and data need before AI initiatives can succeed
- Integration architecture — clean patterns for connecting systems, partners and data flows
- Roadmaps — a sequenced, costed plan your team (or ours) can execute immediately
What you get.
To a clear-eyed assessment
A written review of your architecture with ranked risks and quick wins — not a 90-page shelf document.
Decisions
Every recommendation comes with the trade-offs, costs and evidence — ready for board scrutiny.
By anyone
Roadmaps concrete enough that any competent team can deliver them. If you want, that's us.
What are you working on?
Fragmented data, a process to automate or a system to build — tell me what needs to change.
Let’s talk
Book a free 30-minute chat with me. We’ll see whether I can help.