AI readiness assessment
A structured review of your data, systems, skills and processes that shows where you are ready for AI today, what is missing, and what to fix first.
Business, technology and strategic consulting
AI consultancy and technology strategy
Most organisations do not lack AI tools. They lack a clear view of where AI will create value, what it will take to deliver, and how to tell whether it worked. Our consultancy practice gives leadership teams that view.
We work across business, technology and strategy: assessing readiness, prioritising use cases, building the business case and designing the processes, operating model and governance needed to deliver AI safely and at scale.
What our consultancy work covers
Technology strategy
Platform choices, build-versus-buy decisions, architecture and vendor selection, aligned with your budget, your existing systems and your security requirements.
Process redesign
Mapping how work really happens, finding the steps where automation and AI remove effort or errors, and redesigning the workflow around them.
Roadmaps & business cases
A prioritised, costed roadmap with clear success measures, and business cases that leadership can approve with confidence.
Who it is for
- Leadership teams deciding where to invest in AI
- Organisations whose AI pilots have not reached production
- Operations teams looking to automate manual, repetitive work
- Companies selecting AI platforms, tools or vendors
How it works
- 1
Discover
Interviews with your team and a review of your goals, data, systems and current processes.
- 2
Prioritise
Candidate use cases scored on value, feasibility and risk, so effort goes where it pays back.
- 3
Plan
A roadmap, business case and operating model, with success measures agreed up front.
- 4
Support delivery
We stay alongside your team to deliver, measure results against the plan and refine.
Frequently asked questions
What does an AI consultancy engagement include?
Typically a readiness assessment, a prioritised set of use cases, a roadmap and a business case. The exact scope is agreed with you before work starts, based on your goals and constraints.
Do we need clean data before we talk to you?
No. Understanding the state of your data is part of the assessment. We will tell you what is usable now and what needs work, and in what order.
Can you help with implementation, not just advice?
Yes. We can stay involved through delivery, and our data annotation and expert network practices can supply the training data and specialists many AI projects need.
Is AI the right answer for every problem?
No, and we will say so. Sometimes a simpler process change or standard software is the better answer. Every recommendation starts from the business outcome, not the technology.
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