Digital & AI
Procurement tech fails ~60% of the time. Not because the tools are bad — because nobody asked first what the business actually needs, and procurement-only choices end up in tools that Finance, Ops, IT or Sales refuse to use. I work at the intersection, with the muscle to deliver across countries and matrix teams.
Why this expertise matters
Identifying the real business need is the rarest skill in this market. Not the wish-list of procurement. Not the vendor's demo deck. The actual outcome the business is paying for, and the process that gets there. Having sat in Finance, IT, Operations and Sales rooms across €600M+ pilots — and having shipped multi-country, matrix-team rollouts — is what makes the answer survive once the consultant leaves.
I am not a software reseller. I have no platform to push. The tool follows the problem. If your existing stack solves it, we configure it. If a Coupa, an Ariba, an SAP, or a bespoke LLM agent fits better, we say so — with TCO and adoption risk written down, not waved at.
What I have shipped
Five tools deployed at scale, thousands of users behind them, eight countries in parallel, four functions on the same workflow. The list below is what is currently live — not what a vendor brochure says it could do.
5,000+ users at a F500. 78% adoption at 90 days.
Amazon EMEA Energy. 800+ buildings. 4-month cleansheet.
Cellnex cleansheet. €600M+ managed.
Bespoke routing, gates and cost governance live.
Cross-functional: Finance, IT, Ops, HR, Sales · Multi-country: 8+ EMEA geographies, parallel rollouts.
Four levers
Each card is a self-contained engagement. They can also chain: identify, then deploy, then adopt, then iterate. Book a 30-minute scoping call (free) to figure out where you are.
Process and data first, market scan second. I evaluate Ariba, Coupa, SAP, Jaggaer, Fairmarkit, bespoke LLM agents — against your scale, IT constraints and maturity. Output: 2 to 3 candidates with TCO and adoption risk in writing, or a documented "stay where you are" if that is the right call.
From signed contract to production, with the team in the room. Cleansheet config, gates, multi-country rollout, stakeholder alignment across Finance, IT, Ops, sponsors and suppliers. I have done this on Ariba GB at F500 scale and on Coupa across 800+ buildings. The point: the tool ends up usable, not just installed.
Adoption is a procurement problem, not an IT one. KPIs from week one, 30-60-90 governance, persona-based playbooks, hypercare cadence, then handover. The Ariba Guided Buying rollout I led hit 78% adoption at 90 days — that is the question to ask, not the demo screenshot.
Sometimes the answer is not a new tool. I map the current state end to end, find the 20% of steps that cause 80% of the leaks, and redesign the process around the right tooling — even if that means keeping what you have. Lean rigour, not consultant theatre.
AI specifically?
Adoption-grade AI in procurement is a different question from picking a sourcing tool. If that is what you came for, the dedicated AI page forks you into the right discussion: a quick read on your maturity, then a 30 or 60-minute call calibrated to your context. No platform pitch, no NDA.