Four AI models, one spend file
Claude, ChatGPT, Copilot and Gemini were given the same 120 508-row municipal invoice ledger and the same prompt. Scorecard, verbatim run logs and all four generated files are here.
Compare the four outputsInsights
Notes, tools and experiments from the search work and the wider Procurement and Supply Chain talent market in Stockholm — shared as the resource library grows.
Claude, ChatGPT, Copilot and Gemini were given the same 120 508-row municipal invoice ledger and the same prompt. Scorecard, verbatim run logs and all four generated files are here.
Compare the four outputsTwo identical MacBook Air machines, the same basic Copilot licence, the same prompt about preparing for a marketing category stakeholder meeting. Only one had an organisational context file. Both answers are documented side by side.
See both runs side by sideTool
Build a company context file for Copilot, ChatGPT, Claude or Gemini. Work through the questionnaire with your team and export a Markdown file that grounds every AI answer in your categories, systems and rules. Nothing leaves your browser.
Build your context fileAn interactive breakdown of 35 Procurement and Supply Chain skills mapped by AI risk, human value, and future-proofing. Filter by shift type and domain, then expand each skill to see what to stop doing and what to start doing instead.
Explore the skills mapDuring 2025, Procurement and Supply Chain professionals in Stockholm were asked one single question: how they would rate the AI readiness of their organisation on a scale from 1 to 10.
See the 2025 resultsSearch practice
Each case study documents the recruitment context, why the role was difficult, how the market was mapped and how candidates were assessed. Read together, they are a reasonable picture of where specific Procurement and Supply Chain capability sits in Stockholm today.
Read the case studies