AI Strategy

Many ideas become a decision-ready plan

Together with your leadership team, we develop a clear target picture and a prioritised roadmap – from quick wins to the strategic levers, including budget logic and governance guardrails.

Before vs. after

What a clear AI strategy changes

Without an AI strategy

Scattered AI initiatives

Isolated tools and pilots with no common thread – budget trickles away and the overall value stays unclear.

42%of companies scrap most of their AI initiatives before production (S&P Global 2025)

Gut-feeling decisions

Without a target picture and metrics, AI stays a gimmick – investments cannot be justified.

only 6%achieve a tangible profit impact today

Shadow AI & standstill

AI is used without controls, ownership is missing, and initiatives get stuck in pilot mode.

≈ 50%of employees use AI uncontrolled (shadow AI)

With a clear AI strategy

Prioritised roadmap

A budgeted roadmap focuses resources on the levers with the highest value contribution – quick wins first.

75%of AI value comes from a few targeted areas

Decisions on a factual basis

Value, effort and risk assessed per use case – leadership decides with solid numbers instead of gut feeling.

avg 3.7×value per euro invested with a structured approach

Clear levers & guardrails

Defined responsibilities, priorities and governance guardrails take AI into productive operation.

67%success rate with a partner rather than going alone

Figures: market and study values (incl. McKinsey, MIT, Cisco, S&P Global) – evidence & methodology in the AI Compass. All figures provided without guarantee; no liability for accuracy, completeness or transferability to the individual case.

Who it is for

Management and leadership circles that want to make AI a leadership priority and need a robust, budgetable roadmap.

What you get

A management-ready strategy paper with target picture, fields of action and principles – plus a prioritised roadmap over 12–24 months.

  • Assessment of where you stand (AI maturity) across seven dimensions
  • AI target picture & fields of action
  • Prioritised roadmap with budget/resource logic
  • Success-measurement framework (clear metrics)
  • Governance cornerstones & a presentation for management

Our approach

How your AI strategy takes shape

A structured sprint over typically 4–6 weeks – from assessment to a decision-ready proposal for your leadership.

01

Setup & assessment

We clarify goals, scope and stakeholders and review your processes, data situation and tool landscape – the foundation for everything else.

Kick-offStatus quoGoal definition
02

Strategy workshops (2–3)

Together with your leadership we collect and sharpen use cases, assess value, effort and risk, and develop the shared AI target picture.

Use-case collectionValue/risk scoringAI target picture
03

Synthesis & roadmap

We condense the results into a prioritised roadmap – with a cost/benefit case (is the effort worth it?), budget and resource logic, and clear ground rules (governance).

Prioritised roadmapCost/benefitClear ground rules
04

Review loop

You review the draft; we refine assumptions, priorities and metrics – until the roadmap really holds up.

Feedback roundRefinementKPI alignment
05

Final presentation

You receive a management-ready decision template and a presentation for your leadership – clear, comprehensible and actionable.

Executive presentationDecision templateNext steps

Typical duration: 4–6 weeks

FAQ

Frequently asked questions

Do we need a potential analysis beforehand?

Helpful, but not mandatory. If needed, a lean survey is included in the sprint.

How do we measure success?

We define measurable metrics (KPIs) and success criteria together for each field of action – as a fixed part of the roadmap.

Ready for a robust AI roadmap?

We condense your starting point into a decision-ready plan within a few weeks.