Where to start
First AI Build
Design the capability before implementation begins.
We set out a clear architecture, its integration boundaries with your existing systems and a practical handoff before the code exists. Your team or delivery partner builds and runs it.
Signs you are here
Does this sound familiar?
- A deadline for AI results with no internal capability to deliver them
- No data science or AI engineering function in place
- Competing ideas for the first pilot with no way to score them
- Existing systems that were never designed for AI integration
- First AI initiative with no precedent to reuse
Relevant scopes
Choose the scope that fits.
Understand
Technical Discovery & System Understanding
Find out what an existing system does: its business functions, rules, dependencies and constraints, checked in the code and with the people who know it.
Explore the scopeArchitecture design
Solution & Transition Architecture
Design the software or AI-enabled solution, how it fits your existing systems and the transition plan. You receive the agreed designs, the reasons for each choice and an implementation handoff.
Explore the scopeIntegration design
Legacy-to-AI Integration Architecture
Design a credible bridge between legacy systems and AI-enabled capabilities, with explicit data access, integration and operational boundaries.
Explore the scopeFocused second opinion
Architecture Peer Review
A senior architect reviews one design, vendor proposal or significant technical direction before you commit. You get the risks that matter, the alternatives and the conditions for proceeding.
Explore the scopeKnow what you're building on.
Tell us about the system, the decision and what is changing. 25 minutes on Teams, no preparation needed. We will tell you which engagement fits, or if none does.