AI
Moving AI from experimentation to execution — with governance you can evidence.
Named, applied, and evidenced. Not a policy document.
Governance here means ISO/IEC 42001, ISO/IEC 42005 and the EU AI Act — named, applied, and evidenced. Most engagements start with an AI Use Inventory.
AI Implementation & Integration
Getting AI into production without inheriting a governance problem. Identity and access for AI systems and agents, data boundaries, logging that produces evidence rather than noise, and the controls that let you deploy without arguing about it later.
Read more →AI Data Center & Infrastructure Design
The physical and network layer AI actually runs on. GPU systems, high-performance interconnect, power and cooling envelope, capacity planning, and the security architecture around workloads that behave nothing like the rest of the estate.
Read more →AI Project Management & Strategy
Which AI commitments to make, in what order, and how you will know whether they worked. Portfolio decisions, delivery governance, and the evidence trail that survives a board question eighteen months later.
Read more →Tell us the decision you're facing.
We'll tell you whether it needs an executive, an architect, or neither — and we'll say so if it's the last one.