AI is everywhere. P&L impact rarely follows — focused selection makes the difference.
AI adoption has moved from question to given. Most mid-sized DACH companies are no longer debating whether to use AI — they are already running multiple initiatives at once, without a clear line to the bottom line.
Our analysis of AI portfolios across mid-sized companies shows a clear pattern:
• Roughly 7 out of 10 companies are already using or testing AI
• Inside a typical SME company, 15 or more AI use cases are often already on the table
• Most of this activity clusters in daily productivity — AI assistants, drafting tools, routine automation
• Strategic differentiation from AI remains virtually absent
In this whitepaper, we explain why activity and impact have diverged for most SMEs — and how a small number of well-chosen AI Big Bets, executed with discipline, can turn AI from experiment into measurable business value.
1. Most SMEs Are Active in AI But Stuck in Pilot Mode
Why the “do we adopt” question is already settled — and why pilots and assistant rollouts rarely move the P&L on their own.
2. Real Impact Is Driven by AI Big Bets
The three criteria that separate a genuine Big Bet from a pilot: anchored in strategy, material bottom-line impact, business transformation or strategic differentiation.
3. Four Impact Moves to Deliver AI Big Bets
From setting clear financial targets to selecting the right Big Bets, building AI foundations, and creating an execution model fit for AI.
4. How to Get Started
Three questions leadership teams can use today to assess their AI portfolio, shortlist Big Bets, and surface roadblocks early.
“Impact isn’t driven by how many AI initiatives you run — it’s driven by how few you truly commit to.”
Niklaus Wildberger