AI strategy & use cases
AI strategyconsulting:Set clear priorities.
Leaders and business functions identify relevant AI use cases, assess value, feasibility and risks, and turn the findings into next steps and, where appropriate, a realistic roadmap.
Structured working format · tailored to your starting point
Starting point
A collection of AI ideas is not yet an actionable strategy.
Between general potential and a sound decision, companies often lack transparent criteria, a shared target state and a realistic view of data, organisation and risks.
Too many isolated ideas
Use cases emerge in different areas but are difficult to compare and prioritise without shared criteria.
Unclear business value
Technical possibilities take centre stage while the objective, the work involved and expected value remain too vague.
A roadmap without foundations
Data, responsibilities, capabilities, security and the need for change are not considered early enough.
Working outcomes
What is clearer at the end than at the beginning.
The format creates a transparent basis for decisions and a realistic next step – not a strategy built from general slogans.
A shared target state for the meaningful use of AI in the area under review
A structured collection of clearly described AI use cases
A transparent assessment based on value, feasibility, risks and prerequisites
Prioritised use cases in a justified order
Depending on the agreed scope, a realistic roadmap with next steps and open questions
Who the format is for
- Executive teams and senior leaders
- Business functions and leaders responsible for digital, data or AI
- Project teams that want to consolidate and prioritise AI initiatives
Prerequisites
- A clearly defined organisational or functional scope
- Participation by people with knowledge of objectives, processes and decisions
- Openness to reject ideas or reduce their scope
Content & approach
Set direction, assess options and establish a feasible sequence.
The modules are tailored to your company's level of maturity and decision-making needs.
Clarify objectives & guardrails
Jointly refine business objectives, affected areas, the time horizon and non-negotiable constraints.
Working session: Formulate a shared target state and clear evaluation criteria.Identify use cases
Use processes, tasks, information flows and existing bottlenecks as the starting point for concrete AI ideas.
Working session: Describe and define use cases and identify their user groups.Assess value & feasibility
Compare potential, available data, technical dependencies, organisational prerequisites and risks transparently.
Working session: Prioritise candidates in a transparent assessment matrix.Plan the next steps
Put validation, capabilities, guardrails, responsibilities and upcoming decisions into a sensible sequence.
Working session: Depending on the agreed scope, document concrete next steps through to a roadmap.Format
As comprehensive as necessary, as concrete as possible.
The exact scope depends on the area under review, number of participants, existing knowledge and desired outcome, and is agreed during the initial consultation.
- Framework
- Tailored consulting and workshop format rather than a rigid standard package
- Delivery
- Aligned with the participants, decision-making needs and working objective
- Foundation
- Objectives, processes, existing initiatives, data and organisational guardrails
- Outcome
- Prioritised use cases and, depending on the agreed scope, a realistic roadmap
How we work
How a sound basis for decisions is created.
The engagement follows the decision you actually need to make.
- 01
Define the decision framework
We clarify objectives, stakeholders, existing initiatives, boundaries and the required outcome.
- 02
Assess use cases
Ideas are described concretely and compared using jointly agreed criteria.
- 03
Turn priorities into action
The assessment produces next steps, responsibilities, assumptions to validate and a realistic sequence.
FAQ
Frequently asked questions.Clear answers.
Still have a question? We can discuss your situation in a free consultation.
01How does an AI strategy differ from a list of possible use cases?
A strategy combines concrete objectives, selection criteria, prerequisites, risks and a justified order of priorities. Not every idea becomes part of the roadmap; what matters is which initiatives fit the starting point and desired value.
02Can we assess our existing AI ideas?
Yes. Existing ideas and initiatives can be described systematically, consolidated and assessed against shared criteria. New use cases can also be derived from processes and tasks.
03Which criteria are used for prioritisation?
Typical dimensions include expected value, feasibility, available data, risks, dependencies and organisational prerequisites. The precise assessment logic is tailored to your decision framework.
04Does the engagement produce a detailed technical architecture?
The focus is on direction, prioritisation and, depending on the agreed scope, a realistic roadmap. If technical depth is needed for the decision, the appropriate scope is agreed in advance; a complete implementation architecture is not automatically included.
05Who should take part in the AI strategy work?
Participants should understand the objectives, processes and existing conditions and have sufficient decision-making responsibility. Depending on the topic, it may be useful to include business functions, IT, data, legal or other teams.
Next step
Which AI decision needs a sound foundation next?
In the free initial consultation, we clarify the starting point, participants and concrete outcome your organisation needs.