Consulting / AI Strategy & Discovery
A USEFUL STARTING POINT
This is for you if ....
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There are many ideas, but no agreed priorities.
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Existing pilots are disconnected from business outcomes.
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Leadership needs evidence before committing to a roadmap.
THE SHORT ANSWER
Where should with start with AI?
AI strategy and discovery connects business priorities with the opportunities and capabilities needed for AI adoption. It examines organizational readiness, candidate use cases and the choices needed to build a practical roadmap.
SCOPE YOUR ENGAGEMENT
Choose The Work That Fits
Explore each service and its proposed deliverables.

AI Maturity Discovery
Understand the current state before deciding what should change.
Review organizational readiness using agreed evidence and stakeholder perspectives. Document both strengths and gaps, including questions that cannot yet be answered.
Proposed outputs
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Readiness profile with evidence notes
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Capability gaps and dependencies
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Prioritized improvement actions

AI Use Case Opportunities
Find worthwhile opportunities in real business problems
Examine business pain points, candidate users, available data and practical constraints. Compare opportunities using explicit criteria, then choose the next experiments.
Proposed outputs
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Use-case opportunity portfolio
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Prioritization criteria and assumptions
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Shortlist of pilot candidates

AI Strategy & Roadmap
Turn priorities into decisions, ownership and a sequence of work.
Connect the selected opportunities with business goals, dependencies and an operating rhythm. Define who owns each decision and what evidence will guide progress.
Proposed outputs
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Strategic direction and success measures
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Sequenced roadmap with owners
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Dependencies and review milestones
OUTPUTS TO AGREE
Make the work tangible
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A documented view of readiness
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A roadmap with decision owners
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A prioritized opportunity portfolio
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A measurement and review plan

