AI Use Case Discovery

Identify the AI use cases that are actually worth pursuing

AI Use Case Discovery helps companies move from general interest in AI to clearly prioritized use cases. We identify where AI can create real business value, assess what is realistically feasible, and define the most sensible starting point.

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What do I get

Clarity and concrete outcomes instead of just inspiration

After the workshop, you know which AI use cases are most relevant for your business, what is realistically feasible, and which next steps make the most sense.

  • Prioritized AI use cases The opportunities with the highest business value and strongest strategic relevance.
  • Feasibility perspective A grounded assessment based on data readiness, complexity, and implementation effort.
  • Recommended next steps A clear path toward a pilot, proof of concept, or implementation.
AI Use Case Discovery workshop with customers in a collaborative working session
Following a successful workshop as part of an AI Use Case Discovery with customer teams.
How it works

A clear AI Use Case Discovery process

The process is intentionally simple: understand the business context, identify the right opportunities, and turn them into concrete next steps.

Step 1

Understand

Align on goals, challenges, processes, and where AI could create value.

Step 2

Discover

Identify and prioritize the most relevant AI use cases for your business.

Step 3

Define next steps

Translate the strongest opportunities into a practical roadmap.

From AI interest to a clear starting point

AI Use Case Discovery gives your team clarity on what is truly worth pursuing, what is realistic, and where to begin.

Talk to dreamleap
With targeted impulses and deep expertise, dreamleap sharpened our vision of AI-powered health prevention. The technology roadmap they developed shows how we can systematically achieve our maturity vision and provides valuable input for the strategic evolution of our app.
Product Owner @CSS
FAQ

Frequently asked questions about AI Use Case Discovery

These are the questions companies typically ask when they want to identify the right AI use cases, understand what the workshop delivers, and decide where to start.

What is AI Use Case Discovery?

AI Use Case Discovery is a structured workshop format that helps companies identify, assess, and prioritize the AI use cases that create the most business value. It turns broad AI interest into a clear, practical starting point.

Who is AI Use Case Discovery for?

It is ideal for companies that want to use AI in a focused and strategic way, but are not yet sure which use cases are worth pursuing first. It is especially relevant for leadership teams, digital teams, innovation teams, and business units.

What do we get after the workshop?

You receive a prioritized view of the most relevant AI use cases, a feasibility perspective, and recommended next steps. The outcome is a clear basis for deciding what to test, build, or implement next.

How do you prioritize AI use cases?

We prioritize use cases based on business value, strategic relevance, feasibility, data readiness, complexity, and implementation effort. The goal is to focus on the opportunities that are both valuable and realistic.

Do we need prior AI experience?

No. The workshop is designed for organizations at different levels of AI maturity. Whether you are just getting started or already exploring first initiatives, the format helps create clarity and alignment.

How long does an AI Use Case Discovery workshop take?

The exact format depends on scope and stakeholders, but most workshops can be run as a focused half-day or full-day session. For broader organizational contexts, it can also be expanded into a multi-step engagement.

What kinds of AI use cases can be identified?

Typical use cases include internal productivity, knowledge management, customer service, process automation, content workflows, decision support, and new digital products or services. The workshop focuses on what makes the most sense for your specific business context.

What happens after the workshop?

After the workshop, you have a clear view of which AI opportunities to move forward with. Depending on the priorities, the next step may be a pilot, a proof of concept, a roadmap refinement, or direct implementation planning.

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