Fast, Automated EU AI Act Audits

No. Customer data is never used to train our models. It is used solely to run your assessment: identifying, mapping, and evaluating the evidence needed to prove conformance with the EU AI Act for your High-Risk AI systems.

The platform is built for High-Risk AI systems under the EU AI Act. It performs evidence-based, requirement by requirement conformity assessments against Articles 9, 10, 11, 12, 13, 14, 15, 17 and 18. Each requirement is evaluated on whether objective evidence sufficiently supports it, not on whether a policy or document merely exists.

Manual High-Risk conformity work often takes months. Progressio.ai compresses initial assessments to minutes or hours once relevant evidence is available. Final timing depends on scope, the number of systems, and how readily documentation and operational records can be accessed.

The platform maps your documentation to atomic EU AI Act requirements, assesses whether the evidence is sufficient and consistent, and returns a clear evidenced position for each requirement. Gaps and partial coverage are surfaced with remediation guidance so teams know what to fix next.

No. The platform is designed to find and assess evidence where it already lives. That removes the need for technical teams to fill out endless questionnaires, chase artifacts, or recreate documentation for every audit cycle.

Most approaches rely on questionnaires, consultant-led checklists, or general-purpose AI assistants that summarise documents. Progressio.ai uses specialised text models and a structured requirement graph so assessment is deterministic against atomic requirements. We prioritise Tier 1 errors: false confidence that a requirement is evidenced when the evidence is missing or insufficient.

No. Assessment is performed by specialised text models against a structured requirement graph. A general-purpose language model is used only in post-processing to articulate remediation guidance after the assessment is complete.

Legal and compliance teams use it to establish and defend an evidenced EU AI Act position for High-Risk systems. Technology and data teams use it to reduce audit burden. Executives use it to see where High-Risk AI creates exposure and where action is required.

Yes. Every result is requirement-linked and reviewable. Teams can inspect supporting evidence, see whether each requirement is Evidenced, Partial, or an Evidence Gap, and retain human ownership of the final conformance position.

Customer data is processed under strict access controls, encrypted in transit and at rest, and used only to perform your assessments. Data residency and handling controls are designed for regulated environments. Your data is not used to train our models.

Both. You can upload materials directly or connect enterprise systems that already hold technical, organisational, and operational evidence. The goal is to assess evidence in place, not force teams to recreate it for the audit.