Insights on data-driven business steering for mid-market companies.
The whale curve reveals an uncomfortable truth: in most companies, the most profitable 20% of clients generate 200-300% of profits. The rest destroys value. The problem: without a management P&L by customer segment, you never see the curve.
The EU AI Act becomes fully effective for high-risk systems in August 2026. What most mid-market companies don't realize: the strictest requirements aren't about AI models themselves, but the data underneath. Companies that build their data architecture now get compliance and management intelligence as a side effect.
87% of AI projects in mid-market companies fail — not because of technology, but because of data foundations. Why companies need to fix their data architecture first before AI can deliver real leverage. And why deterministic systems often deliver more than probabilistic ones.
Most CEOs know their overall margin. But almost nobody knows the true cost-to-serve differences between clients, the hidden working capital costs, or where process friction eats EBITDA. A systematic analysis of the most common margin leaks in mid-market companies.
Your BWA shows what the tax office needs. But it doesn't show which products are profitable, where cash leaks, or what to improve next. The difference between bookkeeping truth and management truth.