Which processes contain repetitive cognitive work?
← All services
AI Use Case Discovery
Where could AI genuinely save time or improve decisions in your organisation?
A structured discovery session focused on business value, workflow and feasibility rather than technology demos.
DOES THIS SOUND FAMILIAR?
Start with what is actually happening.
- Everyone has AI ideas but nobody knows which are worth pursuing.
- Most suggestions start with a tool rather than a problem.
- Use cases are described as “chatbot” or “agent” instead of a changed workflow.
- Teams struggle to compare value, feasibility and risk consistently.
WHAT WE NEED TO ANSWER
Good work starts with better questions.
Where does information retrieval consume time?
Where could AI support rather than replace human judgement?
Which ideas are feasible with the data and systems you already have?
WHAT WE WORK THROUGH
The scope follows the problem.
I do not force every engagement through the same checklist. These are the areas that may matter; the agreed scope determines how deep we go.
High-friction workflows
Repetitive knowledge tasks
Search and information retrieval
Drafting, classification and summarisation opportunities
Decision support
Data availability
Human verification
Value, feasibility and risk
WHAT YOU GET
Something you can use after the conversation ends.
The output should help you make a decision, change a practice or move the work forward. It should not exist simply to prove that work happened.
Use Case Backlog
Concrete opportunities described in terms of work and outcome.
Value / Feasibility Matrix
A way to compare ideas without relying on enthusiasm alone.
Risk Considerations
Where data sensitivity, accuracy or human oversight matter most.
Top Candidates
A small number of use cases worth testing first.
Experiment Direction
A suggested way to learn cheaply before scaling.
HOW IT WORKS
Enough structure to make the work clear. Not so much process that the process becomes the work.
Discovery
We clarify the audience, current level, recurring problems and what people should be able to do differently afterwards.
Design
I shape the agenda, examples and exercises around those needs rather than forcing a standard deck onto the team.
Live work
The session combines explanation, demonstration, questions and hands-on practice.
Follow-through
You leave with material, patterns and clear next steps for applying the learning at work.
YOUR TIME COMMITMENT
The main time commitment is the live remote · discovery workshop. A short discovery conversation happens before delivery so the session can be shaped around the team.
A GOOD FIT WHEN
This is likely to help if...
- You have broad AI interest but need concrete opportunities.
- You want business and technical people to prioritise together.
- You prefer experiments tied to measurable work rather than showcase demos.
IT MAY NOT BE THE RIGHT FIT IF
- You already have one validated use case and need implementation.
- You are looking for a generic inspirational AI keynote.
If the problem is real but the format is wrong, that is useful to know early. I would rather redirect the conversation than force the challenge into the wrong service.
AI USE CASE DISCOVERY
Where could AI genuinely save time or improve decisions in your organisation?
Bring me the problem, not a polished brief. A few sentences about what is happening and what you would like to change are enough to start.
Discuss team trainingPREFER TO WRITE?
Send me a message.
You do not need a polished brief. Whether the topic is Power BI, Fabric, AI, team training, mentoring, coaching or simply a challenge that needs untangling, leave a few details and we can start from there.
SIGNALMESSAGECONVERSATION