AI Executive Sprint
Five days of clarity instead of six months of internal chaos — for boards in the energy sector who need to decide between three or five competing AI initiatives and require a shared plan.
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Dr. Andreas Martens Founder qurix Technology · facilitates the Sprint in person
I facilitate this Sprint personally.
The pattern I see again and again at boards in the energy sector: eight senior managers in the room, eight separate AI agendas.
Trading wants better forecasting models. Grid wants predictive maintenance. Sales wants lead scoring. IT has a Snowflake roll-out in mind. Risk asks about regulatory automation.
What usually follows: six months of workshops, debates and parallel initiatives — and at the end two or three cancelled projects, because the time for clarity was missing.
The Sprint flips this. Five days of intensive argument-based sessions — on real data and concrete ROI calculations against the customer's actual business model, not consulting slides. Each day closes with binding decisions, not "open topics".
By the end of the Sprint there is a plan the leadership team carries together: three prioritised use cases, an approved budget, clear accountabilities. What otherwise takes months condenses into one focused week.
What you have after five days.
No buzzword collection, no 80-slide deck — just four concrete outcomes the leadership team has agreed on together, ready to execute from Monday.
- 1. A shared AI target picture Eight parallel agendas become one picture every senior manager carries — not because it's mandated, but because they've argued it through.
- 2. Three prioritised use cases with ROI Worked through concretely: data prerequisites, investment volume, expected value, time to value. Against the real business model, not against industry benchmarks.
- 3. Approved budget for 12–18 months At the end of the Sprint there is an investment decision — not "we'll review again next quarter" and not "needs further validation".
- 4. 90-day starter plan with accountabilities Who does what, by when. Which data, which team, which sponsor. Concrete enough that the first steps begin the following week.
How we work.
The difference from a strategy-consulting workshop: we bring engineering depth, not just facilitation. What is debated in the Sprint can be built on Monday.
- No slides. Argument-based sessions on real data — your data, or comparable industry data when clearance takes time.
- ROI models against the real business. No generic industry benchmarks that sound good in the boardroom and fall apart in delivery.
- End-of-day decisions, not "open topics". Each day closes with binding commitments, not items pushed to the next iteration.
- Co-facilitation. Dr. Andreas Martens (strategy + board dialogue) plus a senior data engineer from the qurix team (technical depth, architecture plausibility).
- Preparation. Two weeks before the Sprint: data intake, pre-interviews with all participants, briefing on the status quo. You don't start day one from zero.
Who it's for — and how we start.
The Sprint is deliberately narrow. It does not fit every company — and that's by design. Two filters:
Ideal starting position
- Industry group in the energy sector (utilities, direct marketers, grid, producers)
- The board or executive committee decides itself — not an "innovation department project"
- At least three competing AI / data use cases on the table
- Budget horizon for the next 12 months ≥ €250k
Format
- 5 days on-site (Mon–Fri) at your premises
- CEO/CFO/CTO plus up to 8 senior managers
- 2 weeks of preparation (data intake, interviews)
- 1 week of follow-up (documentation, decision paper, roadmap PDF)
Sounds like your situation?
30 minutes on the phone. No sales mode. We listen and tell you honestly whether the Sprint fits — or doesn't.
Request a call