Diagnostic · one to three weeks
AI Readiness and Opportunity Review
A structured pathway to AI adoption: which use cases fit your strategy, whether your data, knowledge and governance can support them, and a self-funding roadmap with the numbers behind it.
What it is
A clear, structured pathway to AI adoption, with measurable business impact
Not every organisation aims to be at the forefront of AI, but every organisation has to define its AI stance and be able to explain it. The review does that work with you. Following stakeholder interviews, an enterprise architecture assessment and a deep dive into your highest-potential processes with our prioritisation framework, you get a self-funding AI roadmap with a cost-benefit analysis for each step.
Operationalising AI is where most organisations stumble: they overlook one of strategy, responsible use, data, technology, people or governance, or they over-prepare in one and starve the rest. The review measures all six, so the plan starts from where you actually are.
Who it is for
Organisations that want to
Improve efficiency and customer experience
Through AI-driven automation of the work that is currently manual, slow or error-prone.
Identify the AI use cases that fit
Aligned with business strategy rather than with whatever the last vendor demonstrated.
Build a pragmatic adoption plan
Cost-effective and sequenced, honest about what your data and governance can support today.
Make better decisions
With AI-powered insight where it earns its place, and without it where it does not yet.
Set up a self-funding loop
Savings from the first initiatives re-invested to fund the next, so the program pays for itself.
Know their AI stance
Defined, communicated, and understood by the people who have to act on it.
What happens
Six components, one report
1. Strategic AI assessment
Your AI strategy, risks, education and change management needs, and the success measures the initiatives will be judged against.
2. Opportunity identification and prioritisation
Stakeholder interviews across finance, operations, IT and the service teams, and a heat map of AI and automation opportunities by impact and feasibility.
3. Enterprise architecture and readiness
The AI capability already inside your systems, and the gaps in data, security and deployment feasibility that would stop it being used.
4. AI and automation use cases
Adoption pathways across generative, agentic, analytical and specialised AI and intelligent automation, each with a cost-benefit view.
5. Roadmap and business case
A prioritised roadmap with estimated costs, projected returns and the self-funding model that sequences them.
6. Findings and next steps
A full report, presented to the people who will decide, with the next steps written down.
What the assessment reviews
Five areas, assessed together
- Strategy and leadership
- Whether AI initiatives line up with your business objectives.
- Governance, policy and risk
- Ethics, privacy, compliance and responsible use.
- People and capability
- Skills, change readiness and organisational adoption.
- Data and security
- Data quality, protection and information management.
- Technology and architecture
- Systems, integration and deployment readiness.
Choose the scope
One, two or three weeks
Every review includes an executive workshop and opportunity heat map session. The scope grows with the number of business units.
One-week review
Up to two business units or functions. Two opportunity identification workshops, three focused stakeholder interviews and process deep dives, and a prioritised roadmap for up to 10 opportunities with business cases for the 3 highest-value ones.
Two-week review
Up to four business units or functions. Four opportunity identification workshops, five interviews and deep dives, and a roadmap for up to 25 opportunities with business cases for the 5 highest-value ones.
Three-week review
Up to six business units or functions. Six opportunity identification workshops, eight interviews and deep dives, and a roadmap for up to 35 opportunities with business cases for the 8 highest-value ones.
Sample outputs
Measure maturity, then move along the curve
Measuring AI maturity gives a clear picture of how well an organisation is using AI: where it is strong, where the gaps are, and where investment will move the curve. Your competitors are climbing it; the value is in knowing where you stand before you spend.
What happens next
After the review
With the report in hand, organisations usually close their priority readiness or risk gaps, refine their AI strategy and governance, or move into targeted pilots through the AI Accelerator to prove value and support adoption. For AI agents that talk to customers, the Conversational AI pathway picks up from here.
Book the review
Tell us about your organisation and where AI is on the agenda. Bart or Jacko from the AI and automation practice will come back to you to scope the review, usually within one business day.
Not ready for a full review? The AI strategy session is a free sixty-minute starting point, and an AI Foundations conversation checks whether a specific initiative is ready to move forward.