Use Case Discovery
Find the AI opportunities that matter for your business. Discovery workshops that identify high-impact use cases based on your real operations.
Find the right problems to solve
The biggest risk in AI is solving the wrong problem. We help you identify the use cases where AI will deliver the most value with the least friction.
Operational analysis
We study your workflows, bottlenecks, and pain points to find where AI can make a meaningful difference to efficiency, quality, or customer experience.
Impact scoring
Every potential use case is scored on business impact, technical feasibility, data readiness, and organisational fit. No guesswork.
Prioritised shortlist
You leave with a ranked list of opportunities and a clear rationale for where to start. Not a hundred ideas, but the five that matter most.
Structured workshops, not brainstorms
We run structured sessions with the people who know your operations best. The goal is to surface concrete opportunities, not generate a wish list.
Cross-functional input
We bring together operations, customer service, IT, and leadership. The best use cases often emerge at the intersection of departments.
Feasibility filter
Every idea is tested against technical reality. We remove use cases that sound good but will not work with current AI capabilities or your data.
Business case outline
Top-ranked use cases get an outline business case: estimated effort, expected benefits, dependencies, and risks. Ready for decision-making.
What teams typically find
Support automation
Routine customer queries that consume staff time but follow predictable patterns. Often the highest-ROI starting point.
Knowledge access
Staff spending hours searching for information across documents and systems. AI-powered search and retrieval can dramatically reduce this.
Process automation
Multi-step administrative tasks that jump between systems. Agentic workflows that handle the coordination and data entry.
How discovery works
Discovery typically runs over one to two weeks, including preparation, workshops, and the final prioritised output.
Preparation
We review your operations, existing technology, and data landscape. We come to workshops informed, not cold.
Workshops
Structured sessions with cross-functional teams. We surface use cases, score them, and pressure-test feasibility together.
Prioritised output
A ranked shortlist of use cases with impact scores, outline business cases, and a recommended sequence for implementation.
Frequently Asked Questions
How many use cases will we identify?
Typically ten to twenty candidates, narrowed to three to five priority use cases with outline business cases. Quality over quantity.
Who should attend the workshops?
People who understand your operations, customer challenges, and technology landscape. Typically six to twelve people from different functions.
What if we already have ideas?
Bring them. We will score them alongside new discoveries using the same criteria. Existing ideas often get refined or reprioritised through the process.
What happens after discovery?
Typically a feasibility study or proof of concept for the top-ranked use case. Discovery gives you the confidence to commit resources to the right initiative.
Ready to find your best AI opportunities?
Discovery workshops typically run over one to two weeks. Book a call and we will design the right approach for your team.