Advisory Services

Know Where You Stand. Know What to Do Next.

A structured AI maturity assessment and governance advisory service that gives you a clear, quantified picture of your organisation's AI readiness — and a prioritised roadmap to close the gaps.

The M-Loop Framework

A continuous flywheel for AI advantage

Five phases that transform AI from isolated experiments into a self-reinforcing engine of competitive advantage.

Phase 1

Skill

Build AI capabilities and workforce readiness. Identify talent gaps, establish training pathways, and create the foundation for AI-enabled operations.

Phase 2

Integrate

Embed AI into processes with governance. Connect AI capabilities to operational workflows with the controls, policies, and oversight structures needed to manage risk.

Phase 3

Reinvest

Reallocate efficiency gains into new capabilities. Capture the value AI creates and redirect it into the next wave of capability development — compounding your advantage.

Phase 4

Advantage

Achieve sustainable competitive differentiation. Move beyond parity and into a position where AI-driven operations create barriers to competition that others cannot easily replicate.

Phase 5

Reshape

Transform operating models with AI at the core. Reimagine how your organisation works, with AI as a fundamental component of decision-making, service delivery, and strategy.

OODA Integration: Each phase of the M-Loop incorporates the Observe-Orient-Decide-Act cycle, ensuring that progress is grounded in situational awareness rather than assumption. You observe your current state, orient against market and regulatory context, decide on the next move, and act with governance built in.

Maturity Levels

Five levels of AI operational maturity

Where does your organisation sit today? Where do you need to be?

ML-1

Ad-hoc

No formal AI strategy or governance. AI use is opportunistic and uncoordinated.

ML-2

Developing

Initial AI experiments with limited governance. Value is demonstrated but not systematised.

ML-3

Defined

Formal AI strategy with structured governance. Policies, roles, and processes are documented and followed.

ML-4

Managed

AI embedded in operations with measured outcomes. Performance is tracked, risks are quantified, and governance is active.

ML-5

Optimising

AI-driven continuous improvement and autonomous operations. The organisation learns and adapts through its AI systems.

AI Readiness Assessment

A structured diagnostic across seven domains

Quantified scoring across every dimension that matters for AI adoption. No guesswork. No generic advice. A clear picture of where you are and what to do next.

Strategy

Data

Technology

Governance

People

Process

Culture

Quantified Scoring

Each domain scored against our maturity model with clear, defensible metrics. Know exactly where you stand.

Acceleration Roadmap

Prioritised recommendations ranked by impact and feasibility. A sequenced plan, not a wish list.

Delivered in 2-3 Weeks

Structured engagement with defined milestones. From kickoff to executive briefing in weeks, not months.

Governance Advisory

AI governance designed for your organisation

From off-the-shelf compliance packs to bespoke governance frameworks, we help you operate AI within the boundaries your sector demands.

Compliance Packs

Sector-specific governance frameworks pre-built for financial services, healthcare, legal, defence, and public sector. Align with existing regulations and emerging AI legislation from day one.

Framework Design

Custom AI governance tailored to your organisation's risk profile, operating model, and regulatory environment. Policies, procedures, roles, and controls designed to fit how you actually work.

Retainers

Ongoing advisory and compliance monitoring as your AI operations mature. Regular reviews, policy updates, and guidance as regulations evolve and your capabilities grow.

Free Download

Download the M-Loop Framework

Get the complete M-Loop framework document, including the five-phase flywheel, maturity model definitions, and OODA integration methodology.

  • Five-phase flywheel with detailed descriptions
  • ML-1 through ML-5 maturity level definitions
  • OODA integration methodology
  • Seven assessment domains overview

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