Solutions / AI inventory and classification sprint
Turn an unknown AI estate into an agreed first plan.
The sprint gives a business a controlled starting point: a defined portfolio, the right people in the room, an initial regulatory position and a practical plan for what must happen next.
Product demonstration · 2 minutes 15 seconds
What EU AI Fit does
See how EU AI Fit connects AI inventory, responsibility, exposure, evidence, operational assurance and training in one maintained workflow. All organisations, people and systems shown were created for demonstration, and no client data appears.
Read the video transcript
EU AI Fit gives an organisation one practical place to govern artificial intelligence through its working life—not just a one-off assessment. The workspace starts with what needs attention now, bringing together actions, decisions, responsible owners, evidence gaps and upcoming reviews.
Teams can build an AI portfolio manually or through a controlled spreadsheet import. For each system, EU AI Fit retains the exposure check, role and classification reasoning, accepted accountable ownership, lifecycle approvals, obligations and reassessment history.
Evidence stays connected to the requirement it supports. Governance continues through risks and controls, indicators, incidents, recovery assurance, FRIA readiness and recurring review. Supplier questionnaires, buyer responses and independent specialist reviews remain part of the same controlled record.
Role-based learning and system-specific briefings create evidence of the measures taken for people. EU AI Fit does not certify compliance and is not legal advice; it provides a clearer operating record of what is used, who is responsible, what has been reviewed and what should happen next.
Why this matters
Teams often know they use AI, but not where responsibility begins.
Starting with the whole organisation can create months of discovery without a decision. Starting with a generic policy can create the appearance of progress without understanding the systems it should govern.
The readiness sprint agrees a commercial and assessment boundary first, then works through a representative initial portfolio to create reusable governance habits.
Who it is for
A focused cross-functional team, not the whole organisation at once.
- B2B SaaS businesses preparing for buyer scrutiny
- Organisations beginning an AI governance programme
- Leadership teams needing an evidence-based baseline
- Advisers who need a repeatable client starting point
How the work moves
Move from an agreed boundary to a 90-day plan.
- 01
Agree the boundary
Select the systems, business areas, participants, storage model, timetable and intended decisions before workspace activation.
- 02
Build the initial inventory
Facilitate discovery and record purpose, ownership, suppliers, users, affected people and deployment context.
- 03
Assess and challenge
Screen each use, deepen material exposure, prepare role and classification rationale and identify cases that need specialist review.
- 04
Present the plan
Map resolved findings, credible risk hypotheses, likely obligations, evidence gaps and ownership into a management read-out and maintained workspace.
In this scenario
A SaaS company preparing for an enterprise procurement
The business has one AI-enabled customer feature, several internal assistants and a buyer questionnaire due next quarter.
The sprint prioritises the customer feature and the internal uses that affect people or sensitive processes, instead of cataloguing every trivial automation first.
Product, engineering, privacy, procurement and leadership contribute the facts. The final read-out separates established evidence, proposed conclusions, open gaps and specialist-review needs.
The company finishes with an agreed portfolio baseline and owned next actions—not a promise that everything is compliant.
What is retained
A credible baseline for the first portfolio.
The sprint proposal fixes the systems, participants, storage and review boundary before work begins.
- Agreed scope and participant map
- Initial AI system inventory
- Approved exposure maps plus role and classification records
- Reviewed risk hypotheses and prioritised evidence gaps
- Management read-out and 90-day action plan
Source basis
The official material behind the workflow.
Source review updated 31 August 2026. Read our editorial and regulatory review policy, check the current source and obtain qualified advice for your circumstances.
- Regulation (EU) 2024/1689
The official consolidated legal text, including the 2026 amendments, and starting point for every assessment.
- EU AI Act Service Desk
European Commission implementation resources, navigation and official explanatory material.
- Article 4 — AI literacy
The programme also identifies the people who need proportionate knowledge for the systems they operate or govern.
Next step
Create a credible starting point in weeks, not a vague programme in months.
Define the first portfolio and the decisions the sprint needs to produce.
Discuss your sprint