Regulators are moving faster than most enterprise AI programmes. EU AI Act obligations, data sovereignty constraints, and IP exposure from generative models demand structured governance — before your next audit, not after. We build the frameworks that let you deploy AI with confidence.
Most enterprise AI programmes were built for speed — procurement, deployment, adoption. Governance was a planned second phase. That second phase has now been overtaken by regulation. The EU AI Act is fully in force. GDPR cross-border enforcement is intensifying. And the IP questions raised by generative models — who owns the output, what data trained the model, who is liable when generated content infringes — have moved from legal theory to active litigation.
The challenge isn't that enterprises lack the will to govern AI responsibly. It's that the governance frameworks most organisations have were built for software, not for AI systems with probabilistic outputs, opaque training pipelines, and data residency obligations that vary by model, vendor, and deployment configuration. Traditional IT governance templates don't map cleanly onto these problems.
We build AI governance architecture that addresses the three domains regulators and courts are actually examining: EU AI Act compliance posture, data sovereignty and residency controls, and IP risk mitigation across your entire generative AI estate — structured to survive an audit, a board inquiry, or a contractual dispute.
Each domain carries distinct legal exposure, timelines, and documentation obligations. Our advisory covers all three — as an integrated framework, not three separate workstreams.
The EU AI Act introduces a tiered risk classification framework — unacceptable, high, limited, and minimal risk — with mandatory conformity assessments, technical documentation, and human oversight obligations for high-risk systems. GPAI model obligations apply from August 2026.
When enterprise data flows into AI models, data residency obligations, cross-border transfer restrictions, and processing agreement requirements activate immediately. Most AI vendors process on infrastructure that crosses jurisdictions. Most enterprises haven't mapped where their data goes.
Generative AI outputs carry three distinct IP exposure categories: training data provenance (was the model trained on licensed material?), output ownership ambiguity (does your organisation own what the model produces?), and indemnification gaps where vendor coverage doesn't extend to enterprise-specific deployments.
Typical enterprise coverage before engagement · Illustrative
Every AI Governance Advisory engagement covers these areas — sequenced to deliver immediate regulatory protection while building the sustainable governance architecture your AI programme needs at scale.
AI Governance Advisory engagements deliver a complete compliance architecture in six to eight weeks. For organisations facing an imminent regulatory deadline, a fast-track triage and priority remediation path is available from week one.
A 30-minute consultation to review your current AI estate, identify the regulatory obligations most immediately relevant to your sector and geography, and establish the priority order for the engagement. No fee, no obligation — you'll leave with a clear picture of where your most significant exposure sits.
Full AI estate inventory, EU AI Act risk classification, and data sovereignty mapping completed in parallel during weeks one and two. By the end of week two, every AI system in scope is classified, every data flow is documented, and the compliance gap register is prioritised for your review.
Technical documentation, IP risk controls, data sovereignty agreements, and governance policy suite developed in weeks three through five — working directly with your legal, procurement, and IT teams. Each deliverable is audit-ready on completion, not a first draft that requires further legal translation.
Compliance architecture handed over with a complete obligations register, monitoring cadence, and board reporting template. The governance framework is designed to be maintained by your team — with optional retained advisory for quarterly reviews, regulatory update briefings, and new tool onboarding support.
Governance defines the rules. Spend Management and Contract Advisory make sure the rules are enforced at the point of procurement — before risk enters the estate.
The governance framework defines what clauses your AI contracts must contain. Contract advisory makes sure they do — IP ownership, data processing obligations, model retirement notice, and GPAI compliance representations built into every agreement at signature.
Learn moreGovernance without visibility is theoretical. Spend Management provides the continuous AI estate monitoring that keeps the governance framework current — new tools surface automatically, shadow AI is contained at source, and the compliance register stays accurate between annual reviews.
Learn moreThe free governance triage takes 30 minutes. We review your current AI deployment, identify the regulatory obligations most relevant to your sector, and give you an honest picture of where your compliance exposure sits — before you commit to an engagement.