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AI Transformation

AI governance advisory.

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.
EU AI Act Readiness
Data Sovereignty
IP Risk Controls

Aug '26

EU AI Act GPAI obligations enforcement deadline — most enterprises are not yet compliant with documentation and transparency requirements.

43%

Share of enterprise AI deployments that cross a data sovereignty boundary without adequate processing agreements or residency controls in place.

34+

Distinct IP risk vectors we assess across training data provenance, output ownership, and third-party indemnification coverage on every engagement.
The governance gap

AI moves fast. Governance moves faster.

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.

Regulatory readiness
Cross-border data controls
IP provenance mapping
Vendor specialisations

We know their playbook.

Every major software vendor audits differently. Their methodologies, their appointed auditors, and the specific pressure points they exploit are known quantities to us — because we've defended against every one of them.
01

Regulatory Compliance

Navigate evolving AI regulations with structured compliance frameworks, risk classification and documentation designed to support regulatory readiness and responsible AI adoption.
  • EU AI Act readiness
  • Risk classification
  • Documentation
  • Conformity assessment
  • AI policy requirements
02

Data Sovereignty

Maintain control over where AI data is stored, processed and transferred, with governance strategies aligned to data residency and cross-border requirements.
  • Data residency
  • Cross-border processing
  • Transfer assessments
  • Processing agreements
  • Localisation strategies
03

Intellectual Property Risk

Protect your organisation's intellectual property by addressing training data, AI-generated outputs, copyright exposure, confidential information and vendor obligations.
  • Training data provenance
  • Output ownership
  • Copyright exposure
  • Trade secrets
  • Vendor indemnification
04

AI Risk Management

Identify, assess and continuously manage AI-related risks through structured AI inventories, vendor assessments, usage controls and ongoing risk monitoring.
  • AI inventory
  • Risk classification
  • Vendor assessment
  • Usage controls
  • Continuous monitoring
  • Model risk
IBM
IBM Software

IBM audits involving ILMT/BigFix, ECM, and Passport Advantage can create significant exposure. We challenge sub-capacity calculations, PVU measurements, product classifications, and contract interpretations.

  • ILMT deployment gaps and sub-capacity reconciliation
  • ECM product and metric classification
  • Passport Advantage contract interpretation
  • Authorised User vs. PVU disputes
ORC
Oracle

Oracle audits often involve complex virtualisation, ULA, processor, Java, and indirect-access licensing rules. We challenge methodology and help reduce inflated opening claims.

  • VMware and cloud virtualisation
  • Oracle Java SE licensing
  • ULA certification scope
  • Indirect access claims
MSFT
Microsoft

Microsoft audits and true-ups can involve complex user, device, cloud, and licensing-tier rules. We review the contractual position and challenge unsupported claims.

  • M365 / EMS licensing
  • Azure Hybrid Benefit
  • SQL Server virtualisation
  • True-Up and MPSA reconciliation
SAP
SAP

SAP audits can create significant exposure through indirect access, named-user licensing, and complex product metrics. We analyse the claims and build an evidence-based defence.

  • Indirect and digital access claims
  • Named-user classification
  • S/4HANA licensing
  • BTP and cloud licensing scope

AI Governance Framework

01 — AI Discovery

Scope assessment, contractual basis review, auditor identity verified, and exposure modelled — before any data leaves your environment.

02 — Risk Classification

Classify AI systems according to regulatory, operational and business risk.

03 — Compliance Assessment

Assess regulatory requirements, contractual obligations and existing controls.

04 — Policy Development

Develop AI usage, procurement, security, data and governance policies.

05 — Governance Implementation

Implement ownership models, controls, workflows and reporting.

06 — Continuous Monitoring

Monitor AI usage, regulatory changes, vendor terms and emerging risks.

Tokenomics Governance

AI consumption is increasingly measured through tokens, agents, requests, workflows and other usage-based models.

  • Token consumption
  • Department-level usage
  • Vendor consumption
  • Budget thresholds
  • Token-based costs
  • Usage anomalies
  • Contractual token commitments
  • Cost-to-value relationships

Executive Governance

Provide leadership with:

  • Board-level AI risk reporting
  • AI governance dashboards
  • Regulatory readiness reporting
  • AI procurement governance
  • Vendor risk visibility
  • Responsible AI oversight
  • Executive decision frameworks
Ready to talk
Is your AI estate audit-ready?

The 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.

 
Talk to an Expert
What you'll get
  • 30-minute call with a senior AI governance specialist.
  • EU AI Act risk tier applicable to your highest-priority AI deployment, assessed and explained.
  • Honest view of your data sovereignty exposure based on your current vendor mix.
  • Priority remediation order — what to fix first, and why — before you commit to an engagement.