We help organisations scope AI opportunities, design production-ready architectures, assess AI risk and establish governance aligned with emerging regulation and industry standards.
From idea to controlled production.
Years in enterprise data and AI
Practitioner experience
Defined engagements, each with a published price
Services registry
Regulatory and standards frameworks mapped
EU AI Act · ISO/IEC 42001 · NIST AI RMF · UK · sector
Weeks to a decision-ready assessment
Shortest fixed-scope engagement
Plenty of firms know how to use a language model. Very few can design an enterprise AI architecture and stand behind the governance that has to wrap around it. That intersection is the whole practice.
Enterprise architecture discipline applied to AI systems: defined problems, designed components, stated non-functional requirements, recorded decisions. The work an engineering team can build from and a board can fund.
Operational AI governance — an operating model, a control catalogue, stage gates and evidence requirements mapped against the regulation and standards that apply to you. Built to be run, not filed.
We do not resell platforms, take vendor commission or bid for the implementation we specify. Our only product is the recommendation, which is the only way it stays worth having.
We name clients only where they have agreed to be named, and we do not publish outcome statistics we cannot evidence. What is listed here is what we can stand behind.
Digital transformation architects, working with enterprises, SMEs and EU institutions.
A CTO brings us in to design something properly. A CISO, CRO, DPO or AI governance lead brings us in because something is about to reach production without a defensible position behind it. Both routes converge on the same set of decisions.
Discovery, solution design, independent architecture review, platform architecture.
Architecture engagements →Governance and regulatory readiness, per-system risk and impact assessment.
Governance & Risk engagements →The brand line
Architecting intelligence, engineering success.
The decisions that matter are taken under uncertainty and on incomplete evidence. Our work narrows that uncertainty without hiding the assumptions, the gaps or the limits.
Whether that is a design that has to work or a system that has to be defended, the first conversation is the same.