AI Use-Case Discovery & Business Cases
Overview
The hardest part of AI is often choosing what to do first. This course gives managers a practical method to discover AI opportunities in their own processes, describe them clearly, estimate costs and benefits, and build convincing business cases that decision makers can approve with confidence.
Who should attend
Managers, business analysts, process owners, and members of innovation and digital teams.
Training methodology
Facilitated discussion, practical frameworks, case studies from different sectors, group exercises, short demonstrations of AI tools, and an action plan for each participant's organisation.
Objectives
By the end of this course, participants will be able to:
- Identify AI opportunities in everyday processes
- Describe use cases in a clear, standard format
- Estimate costs, benefits and risks
- Score and prioritise opportunities
- Write and present an AI business case
Course outline
Day 1Spotting AI Opportunities
- Types of tasks AI does well
- Process walk-throughs
- Pain points and data sources
- Opportunity hunting exercise
- Interviewing process owners
- Idea collection from staff
Day 2Defining the Use Case
- Use case canvas
- Users, inputs and outputs
- Success criteria
- Feasibility check
- Data availability check
- Writing a one-page use case
Day 3Costs and Benefits
- Cost components of AI solutions
- Quantifying time, quality and revenue gains
- Risks and mitigation
- Building a simple financial model
- Sensitivity of benefit estimates
- Non-financial benefits
Day 4Prioritisation
- Scoring frameworks
- Dependencies and readiness
- Selecting pilots
- Portfolio view
- Stakeholder review of priorities
- Building a 12-month pipeline
Day 5The Business Case
- Structure of a strong business case
- Telling the story to decision makers
- Handling objections
- Final presentations
- Pilot proposal and success measures
- Peer feedback
