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Workshop Framework

What Decisions Could AI Help Us Make Faster or Better?

A practical workshop where teams audit the decisions they make regularly and identify which ones could be improved with AI support. Participants map their decision landscape across different categories, assess where AI could add the most value, and leave with a prioritised list of decisions to start experimenting with.

120 minutes
8-16 people
intermediate
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✓ Created by former KPMG & McKinsey consultants

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What You'll Achieve with the What Decisions Could AI Help Us Make Faster or Better? Workshop

Real outcomes that transform your team

1

Participants leave with a prioritized list of decisions for AI experimentation.

2

Teams gain clarity on where AI can add significant value in their decision-making process.

3

When to Use the What Decisions Could AI Help Us Make Faster or Better? Workshop

Perfect for these situations and team challenges

Leadership teams seeking to enhance decision-making quality across departments.

How the What Decisions Could AI Help Us Make Faster or Better? Workshop Works

A step-by-step breakdown of the workshop process

1Step 1: Opening and Framing

Participants learn to view decision-making as improvable. They share personal experiences and set the stage for deeper exploration of decision landscapes.

2Step 2: Understanding Decision Categories

Teams receive a framework to categorize their decisions. They identify regular decisions in each category and consider potential AI support for these decisions.

3Step 3: Decision Audit

In small groups, participants map their decision landscape, evaluating key decisions against frequency, data availability, and current pain points to identify AI candidates.

4Step 4: Where AI Adds Value

Groups explore various ways AI can support decision-making, matching specific AI support types to their candidate decisions for effective application.

Key Topics Covered in the What Decisions Could AI Help Us Make Faster or Better? Workshop

ai decision makingimprove decisionsteam collaborationai supportdecision auditprioritize ai

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Improved decision-making efficiency and quality through the integration of AI tools.

4

Concrete action plans for testing AI support on high-value decisions.

Managers wanting to streamline routine decisions to allocate time for strategic initiatives.

Operations leaders tackling high-volume decision-making processes.

Consultants identifying practical AI use cases for their clients.

L&D professionals focused on developing AI fluency within their teams.

Team Problems the What Decisions Could AI Help Us Make Faster or Better? Workshop Solves

Say goodbye to these common team challenges

Inefficient decision-making processes that take too long and lack data-driven insights.

Missed opportunities for leveraging AI to enhance the quality of decisions.

Difficulty in identifying which decisions are suitable for AI support.

Lack of structured frameworks for assessing decision landscapes and prioritizing improvements.

5Step 5: Prioritisation

Teams rank their candidate decisions based on impact and feasibility, identifying which decisions are best suited for initial AI experimentation.

6Step 6: Action Planning

Participants create actionable plans for testing AI on a selected decision, detailing the current state, AI support type, and success criteria for measurement.

7Step 7: Close and Commit

The workshop concludes with accountability measures, as participants commit to taking immediate action and sharing their planned improvements.

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