AI-VALUE · Path 2: Lead and create value
Use Case and Business Case Sprint
Two days after which your AI idea list is a prioritized portfolio with owners and numbers.
- Duration
- 2 days
- Group
- up to 12 people
- Format
- In-house · Remote
- Language
- German or English
- Price
- €15,800 flat, plus VAT
Who this track is for
Mixed groups of managers, department representatives and executives, up to twelve people. For companies where plenty of AI ideas circulate but nobody can reliably say which of them earn money, carry risk, or simply have no one to own them.
Who it is not for
Not for companies without any AI foundation, where the sprint would lack material. Start with the AI Literacy Praxislabor (AI-LIT-LAB) or the Executive Briefing (AI-EXEC). Also not for teams that already have a prioritized portfolio and are looking for implementation, where AI-RAG or AI-AGENT fits depending on the case.
Starting situation
The idea list grows faster than the ability to decide: every department has wishes, one pilot runs half-heartedly somewhere, and the executive team asks about the return. Without a shared evaluation grid the loudest proposal wins instead of the most valuable one, and without an owner every use case dies after the workshop.
This exists after the track
- A cleaned use case inventory from the pre-submitted one-pagers, duplicates merged, castles in the air sorted out
- A value-risk matrix with all candidates and a well-reasoned top group
- A rough economics calculation per top use case with conservative, documented assumptions
- A named owner, a success measure and the biggest obstacle per top use case
- A 90-day plan for the two to three best candidates with scope, participants and measuring points
Prerequisites
A basic understanding of what assistants and language models deliver, for example from AI-LIT-LAB or AI-EXEC. What matters is that the group knows its processes and is allowed to set priorities.
Preparation before the track
Each participant submits two to three use case one-pagers on our template in advance: which problem, whose time, which data, which systems. No one-pagers, no sprint. The material for the two days is created beforehand.
What's included
- Two on-site or remote days delivered by Dino Bordonaro
- One-pager template and evaluation grid as reusable tools for future portfolio rounds
- Calculation model for the economics estimate with documented assumptions
- Portfolio document with matrix, business cases and 90-day plan within five working days
- Certificates and training documentation
- 60-minute remote portfolio review after eight weeks
Agenda
Day 1
The idea pile on the table
All submitted one-pagers go up on the wall. Three test questions per one-pager: Which problem, whose time, which data? Duplicates are merged, anything unclear is sharpened by its submitter in 60 seconds.
The evaluation grid
Value dimensions (time saved, quality, risk reduction) and risk dimensions (data class, process criticality, acceptance) are agreed. Calibration exercise: the whole group scores two cases together until the grid ticks the same for everyone.
The value-risk matrix takes shape
All use cases are scored in small groups and placed in the matrix. The edge cases are fought out in plenary. Decision of the day: Which five to seven candidates form the top group?
Feasibility check of the top group
Per top candidate: What is the data situation, which systems are involved, which maturity level is required? Where it fits, we show on the Sovereign Assistant in our lab environment how close a comparable case already is today.
Day result: the prioritized portfolio
The matrix stands, the top group is named and justified, every edge case has a documented decision. A photo protocol goes out to everyone the same evening.
Day 2
Calculating conservatively
The calculation logic: hours saved times frequency times fully loaded cost rate, minus an adoption discount and review effort. Exercise on a shared example: the same idea calculated once optimistically, once conservatively, and the difference is the discussion.
Business cases in small groups
Each group calculates one or two top candidates and documents every assumption. Rule: every number must survive a critical follow-up question from the executive team.
Owners and obstacles
Per use case the group fixes: one owner by name, one success measure, the biggest obstacle. Decision in the room: Who carries what, and which use case stays parked without an owner until one is found?
The 90-day plan
For the two to three best candidates, the pilot is cut to size: scope small enough for 90 days, participants, measuring points, first milestone in week 2. Cross-check against your maturity level: what needs data or governance work first?
Pitch and day result
Each group pitches its case in five minutes as if the executive team were in the room. Feedback against the grid, final corrections, the portfolio document is fixed and the review date in eight weeks is agreed.
Exercises and lab share
The sprint is continuous work on your own material: scoring, calculating, deciding, pitching. Added to that are targeted live cross-checks on the Sovereign Assistant in our lab environment to ground feasibility assessments on a real system.
Platforms
The sprint is tool-neutral. Feasibility demos run on our lab environment in the version available at the time, without customer data. Your one-pagers and calculations stay in your documents.
Transfer evidence
The transfer evidence is the closing pitch with a documented business case per small group. Portfolio, assumptions and owners are recorded in the portfolio document and checked against reality in the review after eight weeks.
Artifacts you take home
- Portfolio document with value-risk matrix and top group
- Business case calculations with documented conservative assumptions
- Owner list with success measure and biggest obstacle per use case
- 90-day plan for the top candidates
- One-pager template and evaluation grid for future rounds
Optional extensions
- AI Champions Program (AI-CHAMP), so the pipeline is maintained after the sprint instead of going stale
- AI Risk Classification Lab (AI-RISK) for the AI Act classification of the top use cases
- Enterprise RAG Engineering (AI-RAG) when a top use case builds on company knowledge
Boundaries
The sprint prioritizes and calculates, it does not implement. Executing the pilots lies with your owners, accompanied on request by the company's engineering tracks or products. The sprint does not replace your controlling department's investment calculation, it delivers its reliable inputs.
Frequently asked questions
What distinguishes the sprint from an idea workshop we could moderate ourselves?
Three things: a calibrated evaluation grid instead of gut feeling, conservative calculations that survive a controlling review, and grounding on a real system backed by almost 30 years of IT and training practice. The result is a document your executive team can decide on, not a photo of sticky notes.
Do all participants really have to submit one-pagers in advance?
Yes. The sprint evaluates and calculates, it does not invent. The template walks you through four short fields and takes about 15 minutes per idea. In our experience the quality of the one-pagers decides the quality of the portfolio.
Is the sprint worth it if we only have two or three ideas so far?
With fewer than about ten one-pagers from at least two departments, we honestly recommend a different entry point: the Executive Briefing (AI-EXEC) or the AI Literacy Praxislabor (AI-LIT-LAB) create the breadth from which a portfolio can emerge in the first place.