For CTOs & Engineering Leaders

Validate AI Models Against EU AI Act

The Scenario

Your model validation team is drowning in manual audit cycles. Every new AI model requires weeks of assessment against EU AI Act Articles 9-15, ECB expectations, and EBA guidelines — with no standardized methodology and no way to prove coverage. You need automated, article-by-article validation that regulators trust.

Before

Manual audit cycles taking weeks

Each model validation requires 3+ weeks of manual work. Assessors manually map model documentation to regulatory articles, and the process starts from scratch every time.

Inconsistent validation criteria

Every assessor applies different standards. One model passes with a paragraph on transparency; another fails with two pages. There's no repeatable methodology.

ECB/EBA gap in AI coverage

Traditional model validation covers statistical soundness but misses EU AI Act obligations. ECB and EBA expect AI-specific governance — your current process doesn't address it.

No continuous model monitoring

Models are validated once at deployment and forgotten. Compliance drift goes undetected until the next audit cycle — or until a regulator finds it first.

After

Automated TRACE scoring per model

Every model scored across 5 governance dimensions in minutes. The same methodology applied consistently, every time, for every model in your portfolio.

Standardized Article 9-15 checks

Each assessment follows the same article-by-article framework. Art. 9 risk management, Art. 10 data governance, Art. 13 transparency, Art. 14-15 human oversight — all covered systematically.

ECB/EBA-aligned reporting

TRACE scores mapped to ECB supervisory expectations and EBA guidelines. One assessment satisfies both EU AI Act and prudential supervision requirements.

Continuous production monitoring

Models scored continuously after deployment. Compliance drift detected in real time, not at the next quarterly review.

Validation cycleWeeks → 45 minutes

Your Workflow, Step by Step

Here's how you validate AI models against the EU AI Act — from upload to regulator-ready report.

You do

Upload model documentation and context

You get

TRACE ingests model card, training data summary, and deployment context — automatically mapping to applicable regulatory requirements

You do

Run article-by-article assessment

You get

TRACE scores against Art. 9 (risk management), Art. 10 (data governance), Art. 13 (transparency), Art. 14-15 (human oversight) — with per-article gap attribution

You do

Review gap attribution report

You get

See exactly which articles have gaps and what's needed to close them — with specific remediation guidance for each finding

You do

Export validation report

You get

Download regulator-ready report with Merkle-chain verification — SHA-256 timestamped evidence that proves when and how each model was validated