Diagnosis
Maturity: data, processes, team.
IA-01 · Applied AI
AI strategy advisory
Maturity assessment, identification and prioritisation of use cases, 18-month roadmap. Sometimes the honest answer is "you don't need AI here".
Before building anything, it is worth knowing what will be built and why. And before that, which problems the company has that AI can solve better than any other tool — and which it cannot.
Our advisory covers three steps. Maturity assessment (what data you have, which processes could benefit, which team will maintain it). Identification and prioritisation of use cases (those with the highest expected ROI and lowest implementation risk). An 18-month roadmap with a sequenced pilot plan.
Sometimes — more often than clients expect — the answer is "AI does not solve this problem; a process change or training does". Selling what is not needed is the fastest way to erode trust in the word AI.
Week 1DiagnosisMaturity · data
Weeks 2–4Use-case catalogueSessions
Week 4PrioritisationROI · risk
Month 2Pilot 1Eval first
Month 4–8Pilots 2–3Production
Month 18ReviewRoadmap to 36m
The AI strategy advisory process.
The process · four stagesUse cases
Sessions with management and operations.
Prioritisation
By expected ROI, risk and data dependency.
Roadmap
18-month roadmap with a sequenced pilot plan.
What is included
What AI strategy advisory includes.
The operational detail: what we deliver as part of the engagement and what we keep active afterwards.
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AI maturity assessment
Audit of processes, data and team. Realistic.
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Use case identification
Catalogue with expected ROI, risk and requirements.
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Prioritisation by ROI / risk
Matrix management can act on.
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18-month roadmap
Pilot sequence with resources and metrics.
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Roll-out session
What the steering committee needs to see.
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Honest verdict
Sometimes the answer is: "you don't need AI here".
Summum cluster
How it intersects with related services.
The advisory sets the direction. We run or coordinate the pilots.
Frequently asked questions about AI strategy advisory.
Do we need to have data?
Better if you do. The recommendation may be "first, organise your data".
What if we don't need AI?
We'll tell you. An honest consultancy says so.
How is success measured?
In the roadmap, each pilot comes with explicit metrics.