Outcomes before technology
First clarify which business outcomes need to change. Then assess where AI can make a substantial contribution.
Develop an AI strategy
Develop an AI strategy: clear rules for investment and focus.
The strategy connects relevant business outcomes with AI capabilities and defines how to allocate budget, management attention and organizational capacity.
The real task
Decide what the business should focus on before a collection of random projects is called a strategy.
Separate ROI and R&D
Known efficiency projects need different rules from strategic bets with high uncertainty and an explicit learning objective.
Define value gates
An organization-specific minimum impact filters interesting but insignificant initiatives out of the portfolio.
What you receive
AI Strategy Sprint
Align leadership on AI posture, ambition, the level of disruption and a shared vision, including an opportunity scan.
AI Posture & Ambition
A shared understanding of whether AI represents an incremental improvement, transformation or a strategic bet.
Disruption Assessment
Assess technical and market changes in terms of their specific significance for the business.
Opportunity Scan
Make initial relevant opportunities and areas of tension visible for further portfolio work.
Executive Readout
Documented guardrails, a shared vision and clear next decisions on budget and portfolio.
Case Studies
An aligned AI strategy in 4–12 weeks.
Financial sector · 500 employees
4–12 weeksManagement alignment and a documented AI strategy with a shared vision, priorities and clear guardrails for implementation.
Choose the AI Strategy Sprint when
- Your leadership team has different views of what AI means for the business
- Pilots already exist, but there is no shared investment rationale
- You want to clarify ambition and boundaries before committing larger budgets
- A well-founded management decision matters more than a long strategy report
What you will have afterward
- An aligned AI vision and shared direction
- Clear investment criteria for existing and new initiatives
- Shared guardrails for ambition, boundaries and budget
- A well-founded management decision with clear next steps
Our methodology
Proven frameworks for clear AI investment decisions.
What AI Can Do × Business Needs
Connects technical realities with a relevant business priority.
What should we ignore?
Removes initiatives that do not contribute enough value from the portfolio.
10K Value Gate
Sets a clear minimum impact before an initiative receives resources.
ROI vs. R&D
Separates predictable efficiency projects from strategic bets with a learning objective.
Value > Full Cost
Checks whether the benefits cover all technical and organizational costs.
Frequently asked questions
Quick answers.
Do we need a list of use cases already?
Existing ideas can be included. The sprint can also start with business outcomes, ambition and decision criteria.
Is this only suitable for large enterprises?
No. The method works for B2B companies of different sizes. Minimum impact, governance and the level of detail are adapted to the context.
Does this automatically produce a roadmap?
The sprint establishes direction and selection criteria. If a priority opportunity has already been identified, a separate Roadmapping Sprint can sequence its implementation.
Get in touch
First clarify which AI decisions your business actually needs to make.
In a short conversation, we assess whether a Strategy Sprint is the smallest useful starting point or whether your question is already more specific.