A methodology for European procurement teams adopting AI. Seven layers from use case mapping to tooling — built so AI becomes a repeatable way of working, not a folder of one-off ChatGPT prompts.
20 years in procurement · Allegro · BSH · Orange
Each layer answers a concrete operational question. PAIR Assessment is always the starting point; the remaining six are implemented based on what the diagnosis surfaces.
Procurement AI Readiness. Maps processes, scores use cases, checks data and team readiness, produces a 90-day roadmap.
Repeatable AI-assisted sequences for offer comparison, supplier scorecards, contract review, price increase challenges.
Tested prompts and lightweight agents with QA checks, role variants, and clear input/output expectations.
What AI can actually see — data quality, anonymisation, classification, ERP export hygiene before workflows start.
What AI may decide, what humans must approve, GDPR boundaries, and how decisions get documented end-to-end.
Dedicated training tailored to your team, processes and chosen tools — plus champions, clinics and adoption metrics.
Vendor-agnostic: Microsoft 365, Google Workspace, OpenAI or Anthropic with n8n, or hybrid — fit to your operational reality.
A great ChatGPT prompt for offer analysis is a one-off. A workflow with inputs, governance and a human-in-the-loop is a system. We build the second.
GDPR before AI Act, ERP exports rather than API access, German Mittelstand or PL mid-cap realities — not a translated Silicon Valley framework.
Without a dedicated training program tailored to your team and your tools, no Operating Model survives the third week. We make adoption a layer, not an afterthought.
For procurement leaders ready to move from AI experiments to a working operating model.
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