Decide where AI can materially change the business.
A working session for leadership teams. We examine the economics, workflows, roles and data behind your priorities, and leave with a decision on each: build, prove or defer.
Designed for CEOs, managing partners, COOs and business-unit leaders deciding where AI merits serious investment.
Not every opportunity deserves a pilot.
Most AI conversations start with tools. This one starts with what the business is trying to achieve, and what it would take to get there.
Hours saved only become cash when the business acts on them. Some ideas are worth building now, some need proving first, and some should wait. Saying so early is part of the job.
The business around the AI.
The model is rarely the hard part. What changes is how work is done, who decides, and what it costs to run.
Economics
Where value sits today, where it leaks, and what a change would be worth. Time saved is not automatically cash saved.
Workflows
How work actually moves: steps, handoffs, delays and rework.
Roles & decision rights
Who does the work, who decides, and how that should change once AI is part of it.
Data
What information exists, where it lives, and whether it is fit for the job.
Controls & human judgement
Where review is required, where people must decide, and what safeguards are proportionate.
What leadership leaves with.
Brought together in an executive decision pack, so the next step is agreed rather than implied.
- 01AI Value Map
- 02Prioritised opportunity portfolio
- 03Operating-model implications
- 04Priority opportunity cases
- 0590-day action sequence
- 06Executive decision pack
Decide. Prove where needed. Build what earns it.
The workshop is where most engagements begin. What follows depends on what the decision says.
Executive Briefing
A focused session for leaders examining what AI could change in the economics and operating model of their business — and which decisions leadership needs to own.
AI Value & Operating Model Workshop
Leadership decides where AI can materially change the business, what operating-model changes that requires, and what should happen next.
Applied AI Lab
One priority workflow examined in depth: its economics, its handoffs, its data and where human judgement must stay.
Implementation Sprint
A validated opportunity turned into a working operational capability, connected to the systems and people that will run it.
What the thinking looks like on paper.
Illustrative examples using representative data. They demonstrate the structure and standard of the work and do not depict client work or results.
AI Value Map
Where AI could change the business, weighed by value and effort.
Opportunity assessment
Each opportunity ends in a decision, not a wish list.
- Proposal preparationBuild
- Customer enquiriesProve
- Month-end reportingDefer
Workflow economics
Capacity, cost and cash kept separate.
- Hours released
- Capacity
- Review & rework
- Cost
- Tooling & running
- Cost
- Cash impact
- Only if acted on
Operating-model blueprint
How the work, roles and review change.
Discuss your business.
Tell us what you are trying to improve, change or decide. You do not need to know which AI technology you need — or whether AI is the answer.