From AI Ideas to Use Cases

Instead of guessing what to build with AI, teams use this session to align fast, think critically, and prioritize the right opportunities — grounded in business goals, user needs, and technical feasibility.

Learn more about AI Problem Framing

The most successful teams aren’t guessing what to build with AI

They’re not stuck chasing tools, or going back and forth with stakeholders.
They’re not wasting time on experiments that never scale.
Instead, they:

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Align fast around a clearly defined problem
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Stress-test ideas before committing resources
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Prioritize use cases with real business value
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Connect AI opportunities to real users and workflows
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Break silos between business, tech, and operations
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Reimagine what’s possible — instead of just putting AI on top of broken processes.

Our Approach

In this hands-on workshop, we guide your team through a structured conversation that filters scattered AI ideas into focused, validated opportunities.

Who’s in the room?
We bring together 6–8 cross-functional experts from your organization — typically from product, design, data, engineering, operations, legal and business. These are the people who understand how things really work and who are responsible for delivering on AI initiatives.

This isn’t theoretical.
It’s a working session that turns expertise into clarity — fast.

The process blends speed with strategy — and works because of four essential pillars:

The four pillars  

Ideas

We start with the noise. AI ideas, mandates, and trends are captured early — no matter how vague or messy. This ensures nothing is overlooked.

Business  

Next, we stress-test ideas against real business goals. If it doesn’t drive value, efficiency, or growth — it doesn’t move forward.

Customer

We zoom in on the people who actually feel the pain. The best AI opportunities solve specific, urgent, and solvable problems.

Context

Finally, we map feasibility across internal systems, data, and the user journey — ensuring the opportunity is technically sound and scalable.

How it works

Pre-Workshop Activity: Capture Ideas

We start by gathering all relevant AI ideas, trends, mandates, and vague requests — from leadership, market shifts, or internal teams.

  • Shared visibility and gets everything on the table

Activity 1: Filter by Business Value

Ideas are prioritized through a business lens — looking at growth, efficiency, customer impact, and strategic fit.

  • It narrows focus to the challenges that matter — and eliminates distractions.

Activity 2: Focus on Customer Needs

We explore who is affected, how often, and why it matters — using customer insight, user journeys, and system knowledge.

  • Ensures you’re not building for edge cases or generic pain points.

Activity 3: Map Feasibility & Risk

We assess data availability, technical constraints, and workflow integration — with input from those closest to the systems.

  • Keeps your team grounded in reality.

Activity 4: Align on What to Build

Turn insights into a set of AI Use Case Cards with clear logic, value, and next steps.

  • Multiple AI use cases — ready for leadership buy-in and sprint execution.
How AI Teams Use the Outcomes
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Pitch fundable, high-value AI initiatives to leadership
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Scope rapid AI prototypes based on clear user needs
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Prioritize where to focus limited resources
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Create alignment across business, tech, and AI teams
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Avoid building the wrong thing — and move faster with confidence
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"We left with three fully framed AI use cases we could act on immediately — with buy-in from everyone in the room."
Head of Digital Transformation, Global Bank
Case Studies and Effective Strategies
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Explore how this workshop fits your team’s AI goals

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