FrontierScale AI

AI Governance & EU AI Act

Turn AI obligations into an operating capability.

FrontierScale AI helps organisations assess EU AI Act applicability, implement practical governance and establish continuous oversight across the AI lifecycle.

Governance framework

AI Governance Readiness Assessment

Illustrative
AI inventory coverage
Risk classification
Governance ownership
Policies and controls
Documentation readiness
Human oversight
Monitoring maturity

Readiness view

Governance foundations in progress

Classification, documentation and monitoring are the areas requiring most attention.

Next: complete risk classification, close documentation gaps and stand up control monitoring.

Illustrative framework only. Not based on a real organisation.

Why it matters

Compliance is not a one-time assessment.

An initial assessment identifies obligations and gaps. Effective AI governance requires those findings to be translated into ownership, controls, operating processes and continuous oversight. FrontierScale AI supports organisations from initial readiness through implementation and ongoing monitoring.

Applicability depends on the organisation's role and the classification of its AI systems, and obligations apply according to the relevant regulatory timeline.

Our service model

Four connected stages, from obligation to oversight

Stage 01 · Assessment

Understand your obligations.

Establish how the EU AI Act and wider AI obligations apply to the organisation, its AI systems and its role as provider, deployer, importer or distributor.

  • AI system inventory
  • Organisational role assessment
  • Risk classification
  • Prohibited-practice screening
  • EU AI Act gap assessment
  • Governance maturity assessment

Stage 02 · Implementation

Put the required controls in place.

Translate obligations into an operating model, policies, processes, documentation and accountable ownership that teams can actually follow.

  • Governance operating model
  • Policies and controls
  • Roles and decision rights
  • Risk-management processes
  • Technical documentation
  • Human oversight
  • Transparency processes
  • AI literacy

Stage 03 · Integration

Embed governance into delivery.

Wire governance into how AI is built, bought and deployed, so approval routes are routine rather than exceptional.

  • Governance within product development
  • Use-case intake and approvals
  • AI procurement controls
  • Model and vendor governance
  • Control implementation
  • Responsible AI checkpoints

Stage 04 · Monitoring

Maintain continuous oversight.

Keep governance effective as systems, use cases and obligations change, with reporting executives and boards can act on.

  • AI inventory maintenance
  • Control-effectiveness monitoring
  • Performance and risk indicators
  • Incident management
  • Post-market monitoring support
  • Regulatory-change monitoring
  • Executive and board reporting

Outcomes

From regulatory obligation to an operating capability.

FrontierScale AI helps organisations move beyond policy documents and establish governance that works in practice.

Clear understanding of AI Act applicability
Complete inventory of relevant AI systems
Defined ownership and accountability
Risk-based classification and review
Implemented policies and controls
Evidence supporting regulatory obligations
Governance integrated into AI delivery
Continuous monitoring and executive reporting

Who it is for

Where this work lands

Chief AI and Data Officers

Stand up an AI governance capability that supports adoption instead of stalling it.

Risk and Compliance Leaders

Extend existing risk frameworks to AI and GenAI, with proportionate controls and evidence.

CTOs and Engineering Leaders

Remove ambiguity around approval routes, documentation and oversight requirements.

Boards and Executive Committees

Understand AI exposure, control effectiveness and regulatory readiness in a form you can challenge.

Governance engagements

How we are typically engaged

EU AI Act Readiness

Applicability, role assessment, risk classification, gap analysis and implementation planning.

AI Governance Programme Design

Operating model, policy framework, controls and reporting designed and built end to end.

AI Governance Audit

Independent review of an existing programme against regulatory and executive expectations.

Governance should make responsible AI faster, not slower

Speak with FrontierScale AI about an EU AI Act assessment or an AI governance programme.