Critical challenges. Concrete outcomes.
A selection of the problems we take on with executive teams — from strategic reset to technology transformation and AI-enabled performance.
Resetting global inventory and working capital
From a 40-warehouse footprint to radically simpler global steering.
The challenge
Inventory equivalent to roughly 1.5× annual multi-billion-dollar revenue had accumulated over time, while transparency over demand, resilience requirements and the necessity of individual locations remained limited.
What changed
- Redesigned global inventory and warehouse steering around business outcomes
- Created transparency over stock, demand and resilience requirements
- Established clearer decision logic and ownership
- Embedded enabling no-/low-code and AI capabilities
Impact
40 → 4 warehouses
–60% inventory value
Materially improved working capital and financing conditions.
Rewiring enterprise technology for the AI era
A platform transformation built around economics, security and business capability.
The challenge
A global organization had built a capable enterprise technology environment over years. But complexity required to keep it secure, scalable and ready for innovation had grown substantially.
What changed
- Connected business case, target architecture and transition logic
- Modernized security and resilience foundations
- Redesigned elements of the IT operating model and skills mix
- Strengthened data and AI readiness
Impact
A positive platform business case, stronger security and resilience, and scarce specialist capacity shifted toward higher-value AI-centric roles.
Reimagining global automotive retail with AI
From one dealership and one use case to a scalable performance system.
The challenge
A global automotive sales organization wanted to increase time for customer moments, improve conversion and dealer performance, and create more precise performance transparency across a fragmented international landscape.
What changed
- Started with one high-impact use case and one dealership
- Redesigned selected sales workflows around customer and performance outcomes
- Reworked KPI logic to make improvement areas more visible
- Used ROI steering to determine what should scale
Impact
More actionable performance transparency, scalable AI-enabled workflows and a clear path from local proof to global architecture.
What outcome needs to move?
Bring us the business problem. We will bring the right senior team around it.
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