AI Workshop
LIVE INSTRUCTOR-LED
AI Use Case Discovery
Discover, assess and prioritise AI use cases through a structured, hands-on workshop.
Discover AI opportunities using your real business processes
4 hours Team Workshop Activities and Re-usable content Certificate of participation
Workshop Overview
Overview
AI opportunities are everywhere, but identifying the right use cases to pursue is often harder than expected.
The AI Use Case Discovery Workshop is a hands-on, practical session designed to help teams move from broad AI ideas to clearly defined, prioritised use cases linked to real business problems and measurable value.
Rather than focusing on AI theory, participants work through structured exercises to identify opportunities work with real business scenarios, identify where AI can create value, and leave with clearly defined use cases ready for further validation, experimentation or implementation.
Key Outcomes
By the end of this workshop, you'll be able to:
Identify business problems and processes where AI could create meaningful value.
Distinguish between an interesting AI idea and a well-defined AI use case.
Explore opportunities across automation, prediction, knowledge, content, decision support and generative AI.
Translate business challenges into structured AI use-case statements.
Identify users, pain points, expected outcomes and potential AI capabilities for each use case.
Assess use cases against business value, feasibility, data availability, risk and complexity.
Prioritise opportunities rather than trying to pursue every AI idea.
Build an initial shortlist of AI use cases suitable for validation, prototyping or further discovery.
Communicate AI opportunities clearly to business, technology and leadership stakeholders.
Workshop Agenda
Explore the workshop
1 Understanding AI Use Cases
What makes a strong AI use case, where organisations typically discover opportunities, and common mistakes to avoid.
2 Start With the Business Problem
Identify operational challenges, customer pain points, repetitive work, bottlenecks, knowledge gaps and decision-making challenges.
3 Map AI Opportunities
Explore where AI could support, automate, augment or improve existing activities and workflows.
4 Define the Use Case
Turn opportunities into structured use cases covering the problem, users, process, AI capability, expected outcome and value.
5 Assess Business Value
Consider potential benefits such as productivity, cost reduction, customer experience, quality, speed, revenue and risk reduction.
6 Assess Feasibility and Readiness
Explore data requirements, technical considerations, process readiness, dependencies, risks and organisational constraints.
7 Prioritise the Use Cases
Compare opportunities using a practical prioritisation framework to identify high-value, realistic candidates.
8 Build the Next-Step Plan
Determine which use cases should move into deeper discovery, experimentation, proof of concept or implementation planning.
Who It's For
Built for people doing the work
Business leaders and functional managers
Product managers and Product Owners
Business analysts
Transformation and change professionals
Operations teams
Process improvement professionals
Innovation teams
Digital transformation teams
AI transformation and adoption teams
Technology leaders working with business stakeholders
Consultants and internal advisory teams
Hands-on Activities
Learn by doing
Practical exercises you'll complete during the workshop.
AI Opportunity Brainstorming
Use Case Canvas
Value Assessment
Feasibility Assessment
Use Case Prioritisation
Use Case Pitch
You'll Leave With
Practical assets you can reuse
AI Use Case Canvas
AI Use Case Prioritisation Matrix
AI Business Value Assessment
Next-Step AI Action Plan
Certification
Certificate of completion
Certificate of participation is included with this workshop.
Instructor
Meet your instructor
Rajiv Goel
AI Transformation Leader and Microsoft Certified Trainer
AI transformation and enterprise technology leader with extensive experience in AI adoption, business operations, change management and professional training.
FAQs
Common questions
Do I need technical or AI experience?
No. The workshop is designed primarily around business problems, processes and opportunities. Technical concepts are introduced only where they help participants evaluate a use case.
Is this a coding workshop?
No. The workshop focuses on discovering, defining and prioritising AI use cases rather than developing AI applications or machine-learning models.
Is the workshop suitable for people new to AI?
Yes. Participants receive enough context to understand the major ways AI can be applied before moving into the practical exercises.
Will we work on real business use cases?
Yes. Participants are encouraged to bring real business processes, challenges and opportunities into the workshop so that the exercises produce relevant outputs.
What types of AI use cases will we explore?
Depending on the organisation, use cases may involve generative AI, AI assistants, knowledge retrieval, document processing, workflow automation, prediction, classification, analytics, decision support and other AI-enabled capabilities.
How are use cases prioritised?
Participants consider factors such as business value, user impact, data readiness, technical feasibility, implementation complexity, risk and organisational readiness.
What happens after the workshop?
The strongest use cases can move into deeper discovery, data and technical assessment, business-case development, prototyping, proof of concept or implementation planning.
Can this workshop be customised for our organisation?
Yes. The workshop can be tailored around a specific function, business process, department, transformation programme or organisational challenge.
Is this suitable for a cross-functional team?
Yes. In fact, bringing together people from business, operations, product, technology, data and transformation can help create a more complete assessment of potential AI opportunities.
