Operations · Organisation · AI for mid-market companies
Operations, working capital and an organisation where AI decisions have an owner.
Who comes to me
My mandates come from concrete situations, not abstract consulting needs. Three of them come up especially often.
EBITDA is falling, material costs are rising, working capital ties up cash. Everyone has a theory, but no solid data. What is missing is clarity about where the biggest lever sits. And then implementation, not another analysis.
Different systems, unclear responsibilities, no shared target picture. The first 100 days after an M&A process decide whether the integration creates value or destroys it. That takes an outside view and immediate capacity.
Four in ten companies with 20 or more employees use AI, a third of them report higher costs than expected. That is rarely down to the technology. The agent makes decisions for which there is no position on the org chart. And as long as nobody is responsible for them, the AI investment stays a cost centre with better software.
The two fields of work
Better numbers and an organisation that can carry decisions go together. The work on each still looks different.
Results & Operations
I work where most of the money sits: purchasing, production, logistics, working capital. Fact based and without detours, from analysis to an implemented measure.
Organisation & AI
I build the position that is missing on the org chart: someone who is responsible for the process as a whole and is measured on the total. The entry point is the AI Readiness Assessment.
Business lines
One yardstick for all four: measurably better, and it keeps running without me.
A project with a beginning and an end, from analysis to the implemented measure.
COO or managing director for a limited time, when a key position is vacant.
I build and run your numbers for management, shareholders and the bank, monthly.
Operations and AI readiness in the target company, for buyers, PE partners and banks.
Library
Analysis on organisation, AI and results improvement for mid-market companies.
Whitepaper · Organisation & AI
What mid-market companies can learn from more than thirty years of IT outsourcing about steering AI agents
Whitepaper · Organisation & AI
Why AI does not show up in the results of mid-market companies, and which position on the org chart is missing.
Profile
My home is operations: purchasing, production, logistics. Before this I was COO in a mid-market corporate group, today I advise on results improvement and working capital and on setting up steering systems. When I leave, it should work without me.