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AI Maturity Assessment

AI Maturity Assessment for Organisations
Serious About AI

Many organisations are already using AI, often more than they realise. But few have a clear, honest view of how mature their AI capability actually is, where risk is accumulating, and what must change before AI can scale safely.

The AI Maturity Assessment provides a structured, practical view of your organisation’s current AI capability across strategy, governance, technology, operations, and people — without hype or assumptions.

This is not a benchmarking exercise for its own sake. It is an assessment designed to support clear, defensible decisions.

Request an AI Maturity Assessment → See What the Assessment Covers ↓
Practical. Evidence based. Designed for leadership and delivery teams.
Who This Is For

Designed for Organisations Asking
‘Where Do We Really Stand?’

This assessment is not designed for academic scoring or vendor comparison.

Roles
✓
Boards and executive leadership
✓
CIOs, CISOs, and Risk leaders
✓
Transformation, data, and AI leads
✓
Programme and operational leaders
Situations
⚠️
AI initiatives exist but feel fragmented
⚠️
Pilots are running without a clear path to scale
🚫
Risk, legal, or security teams are uneasy
📊
Leadership needs a fact-based view before investing further
🚫
AI decisions are being made without a shared baseline
The Problem

Why AI Maturity
Matters Now

AI adoption is accelerating faster than most organisations’ ability to govern it.

Without a clear understanding of maturity, organisations either move too fast and create unmanaged risk or move too slowly and miss real value.
🎯
The AI Maturity Assessment creates a clear starting point grounded in reality.

What we consistently see:

01
AI Introduced Informally Across Teams
Adopted without central visibility, coordination, or control.
02
No Single View of AI Capability or Exposure
Leadership has no consolidated picture of what AI is doing or where risk sits.
03
Gaps Between Ambition and Operational Reality
What leadership believes is happening and what is actually in place are rarely the same.
04
Risk Accumulating Quietly Over Time
Without visibility, risk builds silently until something forces attention.
Assessment Coverage

What the Assessment Covers

A structured view across the areas that matter.

🎯
Strategy and Value
  • Is AI aligned to business priorities?
  • Are outcomes defined and owned?
  • Is AI solving real problems or chasing trends?
⚖️
Governance and Accountability
  • Who owns AI decisions and outcomes?
  • Are roles, controls, and escalation paths defined?
  • Can AI decisions be explained and defended?

🔒
Risk, Security and Compliance
  • Are data, privacy, and regulatory risks understood?
  • Are controls designed for AI behaviour, not just systems?
  • Is risk managed proactively or reactively?
💻
Technology and Data
  • Are platforms, data, and integrations fit for purpose?
  • Is AI being built on stable, reliable foundations?
  • Are dependencies and constraints visible?
👥
People and Operations
Do teams understand how AI changes their work? Are skills, training, and support in place? Can AI be operated, monitored, and improved safely?
How It Works

Practical, Evidence Based,
and Low Friction

We focus on what exists today, not what is planned or hoped for.

✓
Format: Structured interviews, targeted workshops, and artefact review
✓
Participants: Business, IT, risk, and operational stakeholders
✓
Approach: Plain English, non-technical where possible
✓
Duration: Typically 2–4 weeks depending on scope
What You Receive
✓
Clear view of current AI maturity
Across all key dimensions
⚠️
Identified gaps, risks, and constraints
Honest, evidence-based findings
🌟
Strengths you can build on immediately
What is already working well
📈
Prioritised recommendations for improvement
Sequenced and practical
🗺
Practical roadmap
Aligned to your risk appetite and ambition
Designed to support real decisions not just documentation.
5
Dimensions
4wk
Max Duration
1
Clear Roadmap
Outcomes

What This
Enables

Better decisions. Fewer surprises.

✓
A shared understanding across leadership and delivery
✓
Reduced uncertainty and hidden risk
✓
Clear prioritisation of next steps
✓
Better alignment between ambition, capability, and control
✓
Confidence to proceed, or pause, based on evidence
The Journey

Where This Assessment
Fits

The AI Maturity Assessment is commonly used:

✓
Before scaling AI initiatives
✓
After early pilots or experimentation
✓
As input to board or ExCo decisions
✓
As a foundation for governance and operating model design
★
AI Maturity Assessment
Understand where you are you are here.
02
AI Agent Reality Check
Decision clarity, proceed, pause, or redirect.
03
AI Agent Design and Governance
Control and accountability built in from day one.
04
Executive AI Briefings
Leadership alignment and awareness.
Why oxhey.ai

The Discipline Behind
the Assessment

We have spent decades helping organisations understand where they really are, not just where they want to be.

That same discipline underpins how we assess AI maturity, calmly, objectively, and without hype.

🏢
Enterprise Delivery Discipline
Proven frameworks from complex, high-stakes transformation environments.
🔒
Cybersecurity and Risk Awareness
Security and regulatory considerations built into every assessment.
👥
Change and Operational Integration
Experience assessing real organisations not just reviewing documents.
⚖️
Governance for Accountability
Designed for auditability, defensibility, and board-level trust.
Get a Clear View

Get a Clear View of Your AI Maturity
Before Deciding What Comes Next

AI maturity is not about being ‘advanced.’
It is about being ready.

Request an AI Maturity Assessment → Contact Us to Discuss Scope and Approach →
Assessments are tailored to your organisation, industry, and regulatory context

Get in Touch

Start Your AI Journey Today

Start with a conversation about where AI Agents can help your business. Our team is ready to discuss your specific needs and challenges.

Email Address

contactus@oxhey.ai

Get in Touch!

+61 (0) 2 9188 1681

Our Brands

Northwick Cybersecurity | enterprise security partner BARM Digital | technology and automation partner Bushey IT Change | enterprise change and delivery partner

Our Company

Useful Links

Office Address

Level 1/9–11 Grosvenor St. Neutral Bay 2089 NSW Australia

Email Address

contactus@oxhey.ai

Get in Touch!

+61 (0) 2 9188 1681

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FAQ

Frequently Asked Questions

What is meant by “end to end AI Agent delivery”?

The management of the full lifecycle of AI Agents, from strategy and design through build, deployment, governance, and continuous optimisation.

We start with business outcomes, identification of use cases, mapping opportunities where AI Agents can automate, augment, or accelerate real workflows.

We deliver task‑based, decision‑support, workflow‑orchestrating, and autonomous AI Agents tailored to enterprise needs.

Agents are designed around your processes, data sources, systems, and users, never one‑size‑fits‑all.

We assess, prepare, and govern data to ensure agents are accurate, secure, and fit for purpose.

Risk, security, and regulatory controls are embedded by design, aligned to frameworks like privacy, auditability, and model governance.

Yes, our agents integrate with enterprise platforms, APIs, SaaS tools, and legacy systems.

We apply guardrails, testing, monitoring, and human‑in‑the‑loop controls to ensure predictable and responsible behaviour.

We use modular, scalable architectures that support rapid iteration, reuse, and long‑term evolution.

Agents undergo functional, security, performance, and ethical testing before going live.

Timelines vary by complexity, but most agents move from design to production in weeks, not months.

We deploy into secure cloud or hybrid environments with full observability and operational controls.

We continuously monitor performance, accuracy, risk, and business impact.

Yes, agents are designed for continuous improvement as data, requirements, and regulations change.

We track outcomes such as efficiency gains, cost reduction, decision quality, and user adoption.

You retain ownership, with clear operating models for business, IT, and risk stakeholders.

We establish repeatable patterns, orchestration layers, and governance models to scale safely.

We use orchestration frameworks that coordinate agents, workflows, and human oversight.

We support enablement through training, change management, and operating model design.

We combine strategy, engineering, and governance to deliver AI Agents that are trusted, scalable, and outcome‑driven.