From scoping to delivery
Organisation, departments, processes, tasks and AI systems; evidence items, quotations, contradictions, sign-offs, recommendations, report and manifest: a single audit file, a single trail.
The product
Clear AI-Act records, versions and dates each evidence item, quotation, contradiction and decision, from scoping the engagement to delivery of the report. Its engine checks the consistency of the audit file and proposes strategic and operational recommendations; the auditor judges them, arbitrates, signs off and chooses what is delivered.

Autonomy
Organisation, departments, processes, tasks and AI systems; evidence items, quotations, contradictions, sign-offs, recommendations, report and manifest: a single audit file, a single trail.
Calls to an external service are disabled by default, with a zero budget. The auditor enables them passage by passage, after approving the context and setting a spending cap.
REVUE.html, DOSSIER.json and MANIFESTE.json are placed on several encrypted USB drives, the key for which is delivered separately. The manifest describes evidence items, hashes, versions, coverage, reservations and limitations, and receives a qualified eIDAS electronic timestamp.
Adaptability
Engagement, organisation, department, process, task, system (data and AI), implementation. Each evidence item attaches to the level it documents, and each recommendation to the level it targets.
Policies and procedures, technical file, audio interviews, digitised documents, web pages, logs and registers, questionnaires. For each, reading coverage is displayed: complete, partial or unavailable.
The reference framework starts from Regulation (EU) 2024/1689. It is a candidate framework, dated and sourced, which the auditor activates after review; its activation and its versions are recorded in the trail.
For a passage classified C1, the auditor may call on a specialist model: exact context approved, double confirmation, spending cap set. The response enters the audit file as a proposal.
Engine and human judgement
The engine’s results are documentary and its recommendations are proposals. Only the auditor’s sign-off brings a finding or a recommendation into the report.
The method
Organisation record, departments in scope, processes and tasks concerned, AI systems with their version, use and audience. The reference framework is activated after review.
In the trail: engagement scoped, scope set, systems declared.
Each evidence item receives its SHA-256 hash, its extraction and a proposed filing that the auditor confirms. Interviews carry a timestamped consent; the qualification of what was said is human, versioned and revocable.
In the trail: evidence items received, hashes calculated, coverage established.
The auditor classifies passages, quotes the exact passage, located to the nearest byte, and links the assertion to the articles concerned. Counter-evidence opens a contradiction; the auditor arbitrates it and signs off. The deterministic check then classifies each point.
In the trail: exact quotation, contradiction opened, sign-off recorded, check executed.
The software proposes recommendations by level, from organisation to system; the auditor judges and finalises them. Readable and printable review report; manifest timestamped by a qualified eIDAS provider; encrypted export onto several USB drives.
In the trail: recommendations finalised, delivery prepared, audit file exported.
When an evidence item changes during the engagement, the new version enters the audit file, the old one is kept, and the sign-offs that relied on it become “to be reviewed”.
A service company, two departments, two AI systems: the demo covers the engagement from scoping to delivery.