Modules

Three modules and one add-on that grow with you: from visibility to auditable evidence.

How much AI does your company already use?

How it works

From inventory to auditable evidence, step by step. Illustrative representations of the platform, with sample data.

01

Step 1 Inventory

You register the AI systems your company uses: from ChatGPT to the CRM with scoring. Each system is recorded with its provider, area of use and owner — the starting point for everything else.

Screen of the AI systems inventory (VIS-1) showing the provider, area of use and owner of each system, with sample data
02

Step 2 Classification

The engine classifies each system's risk on the P0–P6 scale, mapped to the EU AI Act risk framework according to the Regulation's own criteria. You see at a glance what needs more attention and why.

Risk classification screen (VIS-2) with the AI systems placed on the P0–P6 scale, with sample data
03

Step 3 Governance

You define the AI Committee and the RACI matrix: who decides, who executes, who reviews. The governance structure is documented, not scattered across loose emails.

Governance RACI matrix screen (GOB-2) with owners and roles per decision, with sample data
04

Step 4 Evidence

You generate signable FRIAs and DPIAs, with a SHA-256 hash and a record of who signed and when. An artefact that can be shown in an audit or an inspection, not a ticked box.

FRIA assessment screen (HRA-1) with the signable document and its status, with sample data

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