Decision Intelligence with AI

From information to better decisions

A guided learning playbook that helps you use AI to frame decisions, assess evidence, diagnose causes, evaluate trade‑offs and translate recommendations into action — one case, one workflow, the right AI tool at the right moment.

Frame problems Gather evidence Diagnose causes Evaluate trade-offs Execute decisions
Start Learning → Open Course NotebookLM
Estimated learning time: 3–4 hours · 3 live workshop sessions · 1 continuous case: BeautyCo
The Learning Journey
1
Why
5 micro‑lessons
2
What
5 micro‑lessons
3
Discover
Templates 1–2
4
Diagnose
Templates 3–4
5
Decide
Template 5
6
Deliver
Template 6
The Decision Gap

More data, more dashboards, more AI tools. Still the same struggles.

Organisations have never had more information — yet prioritisation, diagnosis, trade-offs, alignment and execution remain hard. AI creates value when it helps you reason and challenge assumptions, not merely generate faster answers. Three roles work together across every template in this playbook.

Information Partner

AI

"What do we need to know?"

  • Retrieve information
  • Summarise documents
  • Organise evidence
  • Investigate external developments
  • Compare sources

Recommended tool: NotebookLM or Deep Research

Thinking Partner

AI

"What does it mean, and what should we do?"

  • Frame questions
  • Generate explanations
  • Challenge assumptions
  • Compare alternatives
  • Structure action plans

Recommended tool: ChatGPT or Gemini

Human Decision‑Maker

You

"What decision should we make?"

  • Judgement
  • Organisational context
  • Priorities and ethics
  • Acceptable risk
  • Final accountability

Human judgement + AI intelligence + structured process = Decision Intelligence

Discover · Diagnose · Decide · Deliver

Six templates, one continuous case

Every template follows the same rhythm — Learn, review evidence, use the right AI tool, challenge the output, save your work, continue. Applied throughout to one running case: BeautyCo, a premium beauty retailer whose traffic is growing while conversion, satisfaction and repeat purchase decline.

Discover

Clarify the decision and understand what is happening.

Outputs
Decision Framing Brief
Situation Assessment

Diagnose

Explore possible causes and validate the evidence.

Outputs
Root Cause Hypotheses
Prioritised Diagnosis

Decide

Generate and evaluate possible actions.

Output
Recommended Option

Deliver

Convert the recommendation into execution.

Output
Executive Action Plan
Begin with Template 1 →

AI tools appear only where they add value

You'll never wonder which tool to use — the lesson tells you, at the moment it matters.

Visit the AI Playground →

Ready to start the decision journey?

Begin with the Why module — five short lessons on the decision gap, and how AI shifts from information partner to thinking partner.

Start Learning →