Understand
Interview the people doing the work and map the whole process: systems, data flows, decisions, handovers and exceptions. Identify friction and dependencies across the operation.
Find the right work
AI strategy and opportunity discovery
Good AI strategy is a sequence of informed choices, not a catalogue of tools. The discovery process starts with business friction, customer needs and operational goals, then tests whether AI is an appropriate and supportable response.
Talk to Kevin about thisDesigned for
Leadership teams that know AI matters but need a disciplined way to identify opportunities, compare them and decide where to invest.
What changes
Outcomes you can use
- A shared definition of the business problems worth solving
- An end-to-end process map showing systems, data flows, handovers and bottlenecks
- A mapped and scored AI opportunity portfolio
- Early visibility of data, integration, adoption and compliance constraints
- A shortlist of use cases suitable for validation
- A sequenced roadmap with decisions and next actions
How the work moves
A practical delivery sequence
Generate
Develop candidate opportunities without forcing AI into problems that do not need it.
Evaluate
Score value, feasibility, readiness, adoption complexity and risk using explicit criteria.
Decide
Recommend what to validate first, what needs preparation and what should not proceed.
Direct answers
Questions before we start
What is AI opportunity discovery?
AI opportunity discovery is a structured process for finding business problems where AI may create measurable value. It combines stakeholder research, workflow analysis, use-case design and evidence-based prioritisation.
How is this different from an AI strategy presentation?
The output is designed to support decisions and delivery. It identifies owners, constraints, evidence gaps and next steps rather than presenting a generic list of AI trends.
Does every discovery exercise lead to a build?
No. A credible discovery process should identify where AI is not the right answer as well as where further validation is justified.
Start with a conversation
Would this help with your work?
Tell me what you are trying to do and where you could use support. A rough description is enough.
Talk to Kevin