but it's unclear where the biggest lever lies, and which use cases even pay off.
Productized service · Field-proven · 4 days, compact
Strategy Sprint: from AI ambition to an investment-ready AI roadmap in 4 days
The AI & Data Strategy Sprint: a clearly scoped format for mid-sized companies that want to adopt AI sensibly, without a months-long consulting loop.
When is the sprint a fit?
The sprint is a fit
The sprint is a fit
when …
So you don't have to guess: three clear triggers that make a sprint the right first investment. If you don't recognize yourself here, you may be better served by a different format. We clarify that upfront.
but maturity, consolidation and use-case prioritization are missing for a sound decision.
and management needs a solid basis with a business case and risks.
How the sprint runs
4 days. Four phases.
4 days. Four phases.
Clearly structured
Not an open-ended consulting format, but a structured process in which each day produces a clearly defined result. From day one you know exactly where you stand.
Day 1
Clarify goals & use cases
Workshop with management and the business unit: which questions, which use cases, which success criteria?
Day 2
Assess the data situation
Analysis of existing sources, interviews with IT and controlling, maturity assessment and identification of structural gaps.
Day 3
Define the roadmap
Co-creation workshop: prioritized use cases, approach model, pilot recommendation and 12-month outlook.
Day 4
Decision package
Handover in a management session: roadmap, business case, risks, recommendation. A finished, investment-ready result.
What you take away
Three tangible
Three tangible
deliverables
With consulting, often all that's left at the end is a PowerPoint file. Not with the sprint: you get three concrete documents that live on internally and carry decisions.
1 · Use-case map
Prioritized list with benefit, effort, data requirements and risk assessment per use case, as a basis for decisions.
2 · Data-readiness assessment
Current state of your data landscape with identified gaps, source assessment and concrete prerequisites per use case.
3 · Roadmap & business case
12-month roadmap with pilot recommendation, rollout plan and investment calculation, including sensitivities and risks.
Investment
Clear investment.
Clear investment.
Clearly scoped
No hidden day rates, no consulting loop. Clear investment model with two tiers. The final amount depends on complexity (data sources, business units, depth) and is agreed in a binding way during the intro call.
What's included
A clearly scoped sprint
Concrete investment depending on complexity. Standard sprint (1 to 2 business units) and extended sprint (3+ business units).
- 4 structured workshops (2 onsite, 2 remote)
- Data analysis and interview phase
- Use-case map, data-readiness assessment, roadmap, business case
- Management handover in a final session
- 30 days of follow-up support for questions
What's not included
Clear boundaries
After the sprint you know the next steps and decide freely how and with whom you continue.
- No software/tool licenses
- No implementation (that's a separate step)
- No data migration
- No contractual commitment beyond the sprint
What sprints typically trigger
Three examples
Three examples
from practice
Anonymized mini-cases. Full case studies can be found on the corresponding detail pages.
12 possible use cases were narrowed to 2 prioritized ones. Pilot started 6 weeks after the sprint ended.
Data silos identified, SPoT concept defined as a preliminary step. Investment amount corrected by 35%.
The sprint led to the insight: no AI project needed yet, BI foundation first. 6 months of misinvestment avoided.
Frequently asked questions about the sprint
Before you decide
Sprint-specific questions. General questions about our consulting and our way of working can be found on the homepage.
What if our data situation is still too immature?
That's exactly part of the assessment in phase 2. If the data situation is too immature for direct AI use cases, the sprint's result is a roadmap that first establishes the data foundation. Honest, without AI at any cost.
How many employees need to actively participate?
Typically 3 to 6 people from management, IT and the business unit, each involved selectively. In total around 8 to 12 hours per person spread across the four days.
Can we have an intro call beforehand?
Yes, that's standard. A 30-minute discovery call in which we jointly check whether a sprint fits your situation. Free and non-binding.
Are the deliverables GDPR-compliant and confidential?
Yes. Confidentiality is secured via NDA, data analysis happens as far as possible on your infrastructure. No cloud transfer of sensitive data without your explicit consent.
Next step
Ready for a clearly
Ready for a clearly
scoped entry point?
Two paths to the sprint: if you're sure the format fits, request it directly. If you want to talk first, book a 30-minute discovery call.
Path A · Discovery
30-minute discovery call
We jointly check whether a sprint fits your situation, or whether a different entry point makes more sense. No pitch.
Path B · Direct request
Request the sprint
You know the sprint is a fit. The fastest way to a concrete offer with a committed investment.
Send a request