Who it's for
Designed around these roles
Executives, department heads and business process owners evaluating AI opportunities. No coding background is assumed.
Purpose
Choose an AI use case you can test with clear boundaries.
Move beyond a list of AI ideas. Compare use cases against business value, feasibility and risk, then shape a pilot with human oversight and a decision rule.
- Best for
- Executives, department heads and business process owners evaluating AI opportunities. No coding background is assumed.
- Planned outputs
- 3 draft outputs for your team to review
- Topics
- 6 topics of learning and practice
- Formats
- Online, Onsite, Hybrid
- Engagement
- Standalone workshop or a module in a wider engagement
At a glance
Why teams take this workshop
Challenges this workshop addresses
AI experimentation without a business case
Unclear data and review boundaries
No testable definition of pilot success
How the workshop works
From your challenge to working material
Follow how the topics build towards each planned output. Select a stage or a topic to step through it.
Learning outcomes
What your team leaves with
The outputs below are proposed workshop deliverables: drafts and working tools for your team to review and develop. Final scope is agreed before an engagement. Business results depend on subsequent decisions, implementation and context.
- Output 1A use-case shortlist with value, feasibility and risk assumptions.
- Output 2A draft pilot charter defining scope, data boundaries and human review.
- Output 3A measurement and go/no-go checklist for sponsor discussion.
Workshop outline
Topics and the outputs they feed
The outline below shows the learning scope. Sequence, depth and timing are agreed during scoping.
| Session | Topic | Builds towards |
|---|---|---|
| 01 | AI capabilities, limitations and appropriate uses | A use-case shortlist with value, feasibility and risk assumptions. |
| 02 | Pain-first use-case discovery | A use-case shortlist with value, feasibility and risk assumptions. |
| 03 | Value, feasibility, cost and risk trade-offs | A draft pilot charter defining scope, data boundaries and human review. |
| 04 | Data sensitivity and approved-tool boundaries | A draft pilot charter defining scope, data boundaries and human review. |
| 05 | Human oversight and output evaluation | A measurement and go/no-go checklist for sponsor discussion. |
| 06 | Pilot design, baselines and go/no-go decisions | A measurement and go/no-go checklist for sponsor discussion. |
01
- Topic
- AI capabilities, limitations and appropriate uses
- Builds towards
- A use-case shortlist with value, feasibility and risk assumptions.
02
- Topic
- Pain-first use-case discovery
- Builds towards
- A use-case shortlist with value, feasibility and risk assumptions.
03
- Topic
- Value, feasibility, cost and risk trade-offs
- Builds towards
- A draft pilot charter defining scope, data boundaries and human review.
04
- Topic
- Data sensitivity and approved-tool boundaries
- Builds towards
- A draft pilot charter defining scope, data boundaries and human review.
05
- Topic
- Human oversight and output evaluation
- Builds towards
- A measurement and go/no-go checklist for sponsor discussion.
06
- Topic
- Pilot design, baselines and go/no-go decisions
- Builds towards
- A measurement and go/no-go checklist for sponsor discussion.
Engagement paths
Two ways to run this workshop
Our team will agree the case context and any tool requirements with you. Exercises should use synthetic or authorised material, not unapproved sensitive data.
Standalone workshop
Use a focused workshop to evaluate a business use case and draft a controlled pilot plan—not to deploy a production system.
