AI Inventory: What's running, what's missing, what comes next.
Your employees use ChatGPT, Copilot, and Midjourney. Do you know where your data is going? The AI Inventory counts what's there, assesses risks and potential, and delivers a governance structure with prioritized use cases. Results in weeks, not months.
What you receive
- AI inventory: complete list of all AI tools in use, incl. shadow AI, with risk classification per EU AI Act
- AI readiness scorecard across 5 dimensions (strategy, data, technology, organization, compliance) with benchmark
- Use case decision matrix: top 5 use cases with ROI estimate and recommended sequence
- Governance framework: AI policy, approval process, responsibilities. A 2-pager you can roll out the next day
- AI literacy compliance check: status quo and action plan for Art. 4 EU AI Act
Does this sound familiar?
- The board wants an AI strategy, but nobody knows which AI tools are already being used across the company
- Three departments started three different AI pilots. None of them know about the others
- You need to present an AI roadmap next quarter and have no methodology for it
Two phases. One clear decision basis.
Phase 1: AI stocktake
AI inventory of all tools in use (incl. shadow AI), data landscape assessment, risk classification per EU AI Act, AI literacy status check. One-on-one interviews with management, IT leadership, and department heads. No questionnaires.
Phase 2: Use cases and governance
Identification and evaluation of top 5 use cases with ROI estimate, governance framework draft (AI policy, approval process, responsibilities), results presentation to the decision-making team.
What happens next
After that, the ball is in your court. If implementing the top use cases needs oversight, we handle that through our project management practice. No automatic follow-on, no pressure.
Do you know what AI is running in your company?
30 minutes with the consultant who will run your inventory. No sales pitch, no slides.