AI Governance Architecture
Designing the operating model: roles, escalation paths, model inventories, oversight committees and the documentation that makes them real.
AI Advisory
Governance that survives
contact with reality
Policy documents are easy. Building an organisation that can actually govern its own systems is not. This is that work — with governments, regulators and global companies.
Services
Six ways we work together
EU AI Act Readiness
Risk classification of your portfolio, gap analysis against obligations, and a sequenced remediation plan your teams can actually execute.
Board & Policy Counsel
Private counsel to boards, ministries and regulators shaping national and sector AI policy — and to those who must answer to them.
Responsible AI Strategy
Turning ethical commitments into product requirements, procurement criteria and measurable controls rather than a page on the website.
Standards & Assurance
Aligning with ISO/IEC AI management standards and building the internal assurance capability that survives external scrutiny.
Corporate Workshops
Multi-day intensives that take a leadership population from anxious to fluent, with artefacts they keep and use.
Principles
Trust is engineered, not announced.
Four convictions underpin every advisory engagement.
Accountability before automation
If no human can be named as answerable for an outcome, the system is not ready to make it.
Documentation is a control
What cannot be explained cannot be defended — to a regulator, a court or a customer.
Regulation as design input
Treated early, compliance shapes better products. Treated late, it only removes options.
Speed with reversibility
Move fast where mistakes are cheap. Move deliberately where they are not.
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Let's Build the Future Together
Advisory engagements begin with a scoping conversation, at no cost and in confidence.