AI Use Case Workshop & Roadmap

AI Use Case Workshop for Companies


Together, we identify the AI use cases that can create real business value for your company. We assess them based on strategic relevance, data readiness, feasibility and implementation effort. The result is a clear foundation for a pilot, proof of concept or implementation.

Swiss AI company AI experience since 2019 From discovery to implementation
When is the workshop useful?

When AI interest needs to become a sound decision

The workshop creates a shared view of opportunities, priorities and feasibility. It is designed for companies that want to approach AI systematically and identify the right starting point.

01

Many ideas, no clear priorities

Ideas or initial tests already exist, but there is no shared assessment.

02

Business value is still unclear

It is unclear which use cases can make a meaningful contribution to business goals.

03

Feasibility is still open

Data readiness, complexity and implementation effort need to be assessed realistically.

04

Prepare a focused pilot

A first use case needs to be selected and advanced with clear next steps.

What you receive

Concrete outcomes instead of a general list of ideas

After the workshop, you know which AI use cases are most relevant for your company, how they compare and which next steps make sense.

  • Prioritized AI use cases A structured view of the use cases with the greatest business value and strongest strategic relevance.
  • Transparent assessment A structured evaluation based on value, data readiness, feasibility, complexity and implementation effort.
  • Feasibility perspective A realistic assessment of which use cases offer the most sensible starting point.
  • Recommended next steps A clear path toward a pilot, proof of concept or implementation.
Company team prioritizing AI use cases in a workshop with dreamleap
A collaborative working session to identify and prioritize business-relevant AI use cases.
How it works

A clear process from business context to AI roadmap

We first understand the business context, then identify relevant opportunities and translate the strongest use cases into concrete next steps.

Step 1

Understand

Align on business goals, challenges, processes and existing opportunities.

Step 2

Identify and assess

Develop, compare and prioritize relevant AI use cases using clear criteria.

Step 3

Define the roadmap

Translate the strongest use cases into a practical starting point and clear next steps.

Assessment and prioritization

How we assess AI use cases

A strong AI roadmap considers more than technical possibility. What matters is whether a use case is relevant to the business and realistically achievable under the existing conditions.

01

Business value

What concrete contribution can the use case make to the company?

02

Strategic relevance

How well does the use case support the company’s goals and priorities?

03

Data readiness

Which data and knowledge sources are available and usable?

04

Feasibility

How realistically can the use case be implemented technically and organizationally?

05

Complexity

Which systems, dependencies and stakeholders need to be considered?

06

Implementation effort

What effort is required for a pilot, integration and rollout?

From roadmap to implementation

More than an AI use case agency

dreamleap combines strategic AI consulting, technical feasibility assessment and implementation. If required, we support the prioritized use case from the first pilot through integration into existing processes and systems, supported by our secure AI platform.

Discovery

Prioritize use cases

Identify business-relevant opportunities and determine a sensible starting point.

Pilot

Test feasibility

Define the selected use case and test it within a controlled setting.

Implementation

Integrate into processes

Securely integrate proven solutions into existing workflows and systems.

From AI interest to a clear starting point

Find out which AI use cases offer the greatest value for your company, what is realistically achievable and which next step makes sense.

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.
Frequently asked questions

Questions about the AI Use Case Workshop

Clear answers about the process, prioritization, outcomes and the path from an AI idea to implementation.

What is an AI Use Case Workshop?

An AI Use Case Workshop is a structured working format for companies. Business goals, challenges and processes are assessed. Relevant AI use cases are then developed, evaluated and prioritized.

When is an AI Use Case Workshop useful?

The workshop is useful when several ideas or initial tests already exist but clear priorities are missing. It also helps when business value, data readiness, feasibility or the right starting point are still unclear.

How does the AI Use Case Workshop work?

We first understand the business context, goals, challenges and processes. Relevant AI use cases are then identified and assessed. The strongest use cases are translated into a clear roadmap with concrete next steps.

What outcomes do companies receive?

Companies receive prioritized AI use cases, a transparent assessment, a feasibility perspective and recommended next steps for a pilot, proof of concept or implementation.

Which criteria are used to prioritize AI use cases?

The assessment considers business value, strategic relevance, data readiness, technical and organizational feasibility, complexity and implementation effort. This makes valuable ideas with realistic conditions visible.

Can existing AI ideas and initial tests be included?

Yes. Existing ideas and initial tests can be assessed together and compared using consistent criteria. This creates a shared basis for priorities and further decisions.

How do the use cases become an AI roadmap?

The assessed use cases are ordered by value and feasibility. This creates a sensible starting point and concrete next steps for a pilot, proof of concept or implementation.

Does dreamleap also support pilots and implementation?

Yes. dreamleap combines strategic AI consulting, technical feasibility assessment and implementation. If required, we support a prioritized use case from the first pilot through integration into existing processes and systems.