Turn AI pressure into agrounded first project.
A facilitated workshop that leaves your leadership team with a written AI opportunity map, a feasibility view against your actual data, and a prioritised AI roadmap, so the first AI investment starts from business value rather than a vendor pitch.
- AI opportunity map
- A structured, written inventory of where AI could create value, scored by business impact and effort.
- Feasibility view
- A realistic picture of which use cases your current data, infrastructure, and operating model can actually support.
- Prioritised AI roadmap
- A phased plan with a named first project, success criteria, and a clear path into broader delivery.
The problem
AI ambition is outrunning your data
Every leadership team is under board pressure to act on AI, and most AI conversations now start from a vendor demo rather than a business problem. The result is initiatives built around tools the organisation cannot yet support with its data, pilots that stall on access and quality issues, and roadmaps that collapse the moment they meet real processes or budgets. Without a structured, business-led starting point, the first AI project becomes the thing that makes the next one harder to fund.
Common symptoms
AI initiatives shaped by vendor demos rather than specific, high-value business problems
No written view of which data is available, reliable, and ready to support an AI use case
Leadership pressure to act on AI without a framework to judge what is actually feasible
What this costs you
First AI projects fail to deliver measurable value, making the next round of investment harder to justify
The gap between board-level AI ambition and operational reality widens with every untested idea
The workshop approach
Three phases from preparation to a written AI strategy
Every phase is pre-scoped and ends in a written artefact. Preparation and data review happen before the session, so the workshop day itself is spent on mapping, feasibility, and sequencing, not on getting up to speed.
Phase 1: Prepare
Focus
Review your current data landscape, business objectives, and technology environment before the workshop day begins, so the session starts from facts.
Key outputs
Context brief and structured workshop agenda.
Phase 2: Workshop
Focus
Facilitated session mapping AI opportunities by business function, testing feasibility against your actual data, and working through governance and risk factors.
Key outputs
AI opportunity map with feasibility ratings and risk summary.
Phase 3: Synthesise
Focus
Turn the workshop output into a written AI strategy document with a prioritised roadmap, a named first project, and clear success criteria.
Key outputs
Written AI strategy document with opportunity map, feasibility view, and prioritised AI roadmap.
Capabilities
What we deliver
A pre-scoped workshop that ends in a written AI strategy document, not an open-ended advisory engagement. Everything below is produced once, documented, and handed over.
AI opportunity map
Systematic review of where AI could create business value by department, process, and decision type, backed by written findings.
Feasibility view
Honest assessment of which opportunities your current data, infrastructure, and operating model can realistically support.
Governance & risk review
Structured assessment of governance requirements, regulatory considerations, and deployment risks per use case.
Use case prioritisation
Business value against effort scoring to show which opportunities to act on first and which to defer.
Prioritised AI roadmap
A phased plan with a clear recommended first project and defined success criteria, sized so delivery can start without rescoping.
Written strategy output
A complete AI strategy document with opportunity map, feasibility view, risks, and roadmap, ready to share with the board.
Is this right for you?
This works for your team if…
If three or more of the conditions below describe your situation, a discovery call is a useful next step.
Senior leaders who need a grounded AI strategy, not a vendor pitch or a technology wish list
Executive & leadershipBusinesses that have started AI conversations but lack a structured, written starting point
Executive & leadershipOperations, finance, or commercial teams evaluating where AI could reduce effort or improve decision quality
Operations & commercial teamsOrganisations about to commit to an AI platform, vendor, or internal build who need a written feasibility view first
Pre-investment evaluationHow it works
A practical delivery approach
Every engagement follows a clear path from diagnosis to delivery and handover.
Pre-workshop review
Understand your current data landscape, business objectives, and technology environment before the workshop begins.
Context brief and workshop agenda.Opportunity mapping
Facilitated session to identify where AI could realistically add business value across the organisation, by function, process, and decision type.
AI opportunity map scored by business impact.Feasibility & risk review
Test data readiness, infrastructure requirements, governance considerations, and risk factors for each opportunity.
Feasibility view and risk summary per use case.Roadmap & first project
Define a prioritised AI roadmap, select a recommended first project, and set clear success criteria for the first 90 days.
AI strategy document with opportunity map, feasibility view, and prioritised AI roadmap.
Proof & trust
Results that speak for themselves
AI opportunity map
A structured, written inventory of where AI could create value, scored by business impact and effort.
Feasibility view
A realistic picture of which use cases your current data, infrastructure, and operating model can actually support.
Prioritised AI roadmap
A phased plan with a named first project, success criteria, and a clear path into broader delivery.
In practice
What it looks like when it works
Representative results from engagements across our client base.
Context
A leadership team under board pressure to act on AI, with multiple vendor proposals on the table and no internal framework to evaluate them against the business.
- AI opportunity map
- Feasibility view
- Named first project
Context
An operations team with strong data assets that had run internal AI discussions but could not agree on where to begin or how to judge what was feasible.
- Cross-functional alignment
- Risk summary
- Phased AI roadmap
AI opportunity map
Opportunities scored by business function and decision type
Feasibility view
Each use case tested against real data and infrastructure
Named first project
Leadership aligned on a first project with defined success criteria
Frequently asked questions
Your questions, answered
No. It is designed for business leaders and functional managers. We assess technical feasibility, but the agenda is business-led throughout.
None at all. We start from business problems and map AI potential from there.
A half-day to full-day workshop, with preparation and the written strategy document delivered within 1 to 2 weeks in total.
Typically 4 to 8 participants from leadership, operations, and data. Most people contribute the workshop day and a short pre-read, nothing more.
A written AI strategy document with an AI opportunity map, feasibility view, risk summary, and a prioritised AI roadmap with a named first project.
We are technology-agnostic. We assess your real data situation against real business problems, so the roadmap survives first contact with delivery.
The roadmap names a specific first project and how to start it. From there, AI delivery typically runs through our AI & Automation solution, with governance foundations picked up through Data Governance & Quality if the workshop flags them as a blocker.
Next step
Where do you want to start?
Pick the path that matches where you are today. Both begin with a conversation.
Ready to move from AI pressure to a grounded first project?
A short call to walk through the workshop format, who should attend, and the written strategy document you will receive at the end.
- Fixed 1 to 2 week scope and a half-day to full-day workshop, no open-ended advisory engagement
- Written AI opportunity map, feasibility view, and prioritised AI roadmap at the end
- A named first project, sized and scoped so delivery through AI & Automation can start immediately
Start with an assessment
Not ready to commit to a pilot? A 2 to 4 week assessment maps your current state and identifies the highest-value starting point, with no obligation to proceed further.
- Map your current situation and pain points
- Identify 2 to 3 high-value improvement opportunities
- Get a recommended pilot scope and expected outcomes
No obligation. Typical response within 1 business day.
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