Designed for teams who…

You've established basic AI governance foundations, but now you're experiencing rapid AI adoption across business units and need to mature your approach. You're struggling with inconsistent use case reviews, varied risk assessments across departments, or bottlenecks that slow down AI deployment. Your board is demanding more detailed reporting on AI risk exposure, and you need to scale governance without creating bureaucracy.

This service is designed for organisations that:

Have foundational AI governance elements but need operational maturity
Are deploying multiple AI use cases across different business units
Face increasing regulatory scrutiny and compliance obligations
Need standardised processes for AI use case approval and oversight
Operate in regulated industries requiring documented governance (financial services, healthcare, government, insurance, energy)

You're a CTO, CIO, Chief Risk Officer, CDAO, or GRC leader responsible for scaling AI safely and consistently—moving from informal governance to a repeatable, measurable operating model.

Problem → Outcome

Transform foundational AI governance into a consistent, operational capability that enables confident AI scaling across your enterprise.

Key Outcomes

Consistent AI use case oversight: Implement standardised intake, review and approval frameworks that work across all business units. This eliminates varying approaches to AI risk assessment and creates transparent, auditable governance pathways for all AI initiatives, enabling faster deployment with appropriate controls.
Enhanced risk visibility and management: Gain comprehensive dashboards and reporting through TRUSENTA.IO configuration, providing executive and board-level visibility into AI risks throughout your enterprise. Proactively identify and manage potential legal, ethical and reputational exposures before they become issues.
Accelerated responsible innovation: Streamlined governance workflows and clear decision rights reduce time-to-market for compliant AI solutions. Teams move faster with confidence, knowing clear guardrails are in place, transforming governance from a bottleneck into an innovation enabler.
Strengthened accountability and compliance: Clearly defined roles, responsibilities and decision rights ensure transparent ownership for AI system design, deployment and outcomes. Progress to a documented and operational medium AI governance maturity state that positions you for current and emerging regulations.
Measurable governance maturity uplift: Achieve documented progression in your AI governance capabilities with a clear roadmap for continued maturation over the next 12-18 months. Demonstrate to regulators, auditors and stakeholders that you have robust, operational controls in place.

How the engagement works

Whats Included

This engagement uplifts your AI governance from foundational to operational:

AI Governance Objectives & Target State Definition: Collaboratively define clear objectives and practical target maturity state aligned with your risk appetite
Policy Review & Enhancement: Comprehensive review and uplift of existing AI use policies, plus development of AI build and lifecycle governance policies
Responsible AI Principles Refinement: Enhancement and embedding of FAST-aligned principles within your governance framework
AI Use Case Governance Framework: Robust design for consistent intake, review and approval processes ensuring transparent decision-making
Governance Structure & Operating Model: Clear definition of AI governance roles, responsibilities, decision rights and operational oversight model
Risk Classification & Assessment Framework: Enhanced approach for identifying, assessing and managing AI-specific risks throughout the lifecycle
TRUSENTA.IO Configuration: Setup of governance workflows, dashboards and essential artefacts for operational governance
Medium-Term Roadmap: Practical 12-18 month plan for continued AI governance maturation
Executive Readout: Comprehensive summary of findings, implemented frameworks and strategic recommendations

Engagement Model

We guide you through a structured maturity uplift over 4-6 weeks:

Phase 1: Discover & Align
We engage stakeholders across your organisation to assess current AI governance maturity, identify specific regulatory needs and define clear objectives for uplift. Through workshops and interviews with risk, legal, compliance, technology and business leaders, we understand your existing frameworks, pain points and aspirations. This creates alignment on the target state and builds momentum for change.

Phase 2: Design & Enhance
Our experts work collaboratively with your team to design and enhance governance artefacts specifically for your context. We review and uplift existing policies, develop comprehensive AI build and lifecycle governance frameworks and design robust use case governance processes. You'll see your informal practices transform into documented, repeatable frameworks that scale across business units and geographies.

Phase 3: Implement & Operationalise
We configure TRUSENTA.IO to support your enhanced governance workflows, creating dashboards for executive reporting and embedding processes into daily operations. Your team receives hands-on training to ensure sustainable adoption. We deliver a medium-term roadmap for continued maturation and an executive readout that demonstrates your governance capability to leadership and board members.

Estimated Time

4-6 weeks, depending on organisational complexity and scope requirements.

AI Governance Maturity Uplift

Designed for teams who…

Problem → Outcome

Key Outcomes

How the engagement works

Whats Included

Engagement Model

Estimated Time

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