Service · Wolff Applied AI
From prioritised use cases to a decision-ready AI roadmap.
In 4–6 weeks, the sprint takes your leadership team from scattered ideas to a decision-ready, economically well-founded AI strategy. In facilitated workshops we develop a shared target picture, prioritise use cases by value, effort and data readiness, and cast the result into an actionable 12–24-month roadmap. Governance cornerstones and a management-ready decision template are part of it — structured in an engineering-like way, without hype.
Around 43 % of mid-sized companies have no concrete AI plan — activity happens sporadically and uncoordinated instead of along a strategy. AI initiatives rarely fail on the technology, but on the transition from pilot to production — according to S&P Global (2025), 42 % of companies abandon the majority of their AI initiatives before they go into production — and on the lack of prioritisation of scarce resources. Leadership circles need a robust decision basis: where does AI pay off, what does it cost, what risks exist — and in what order? These are exactly the questions the sprint answers before budget is committed.
4 phases, 4 gates — you decide at every transition.
In a structured kickoff with the leadership circle, we clarify goals, expectations and framework conditions. We evaluate company context, processes and tool landscape, and determine a short maturity assessment (data, IT, culture, skills) as a starting point.
In two to three facilitated workshops (3–4 hours each, hybrid possible) we develop an AI target picture, guiding principles and fields of action with the leadership circle. We collect use cases and assess them against eight criteria.
We cast the priorities into a 12–24-month roadmap with waves, milestones and gates, underpin a rough economic logic per use case (as ranges), and define governance cornerstones and a KPI framework.
We condense everything into a strategy paper and an executive presentation with options, recommendation and a proposed resolution, and present the results. At the close, we recommend the next concrete step.
Management-ready document with target picture, guiding principles, fields of action and make-or-buy delineation.
Assessment matrix across eight criteria with quick-win ranking and economic placement.
Waves, milestones, dependencies, gate criteria and responsibilities in an actionable order.
Role model, approval logic and EU AI Act reference as the basis for a responsible rollout.
Metrics with baseline, target and measurement source for later impact measurement.
Slide deck and proposed resolution for management with options and recommendation.
The base package stands on its own. Optional modules dock on now or later — you decide how far you go.
We add a further facilitated session to the two to three included workshops — for example for a larger leadership circle, an additional field of action or a deeper prioritisation round. The base package remains unchanged; this module only creates additional room for alignment.
Beyond the executive presentation, we prepare the strategy for the workforce: understandable key messages, a slide deck for the internal presentation and a compact FAQ. This way the strategy is not only decided, but also understood in-house.
Once per quarter, we jointly review progress along the roadmap, classify deviations and sharpen the next waves. The module is a light accompanying cadence after the sprint and does not replace a dedicated implementation project.
Credit: We credit a preceding AI Potential Analysis proportionally against the Strategy Sprint.
Note: not legal advice. Content with a legal dimension (e.g. EU AI Act, GDPR, ISO/IEC 42001) is professional orientation, not legal counsel.
You receive a clear, individual proposal before any engagement. Under § 19 UStG no VAT is charged; any ancillary costs (e.g. model/hosting/API fees, travel) are not included.
Next step
Let us clarify in a free intro call whether this offer fits your situation — honestly and without sales pressure.As a follow-up we then recommend AI Use-Case Lab.
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