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SOLUTIONS · ASSURANCE

Your AI, validated.

AI you build, AI you buy, AI you already run: validated against seventeen layers, from the first question to live operation. Independent, evidenced, audited.

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Configured once, validated everywhere.

One framework for every AI you run: built by Kenza, bought from vendors, or inherited.

validating … · 17 of 17 · evidence attached

Scopebuilt, bought, or inherited
Layersseventeen, configured
Independenceseparate from the builder
Dossierevery claim sourced
Lifecyclefirst question to live operation
Auditdrift caught, dossier current

Watch it validate.

Configured

Every validation is its own. Layers selected and configured to your use case, your industry, your risk.

CONFIGURATION · PER USE CASE

Regulatory layersselected
Industry profileapplied
Risk thresholdsconfiguring …

Validated

Built by Kenza or bought from a vendor: validated against seventeen layers, independently, with evidence.

Validation · 17 layers

> A bought scoring model needs sign-off_

layer 10 / 17 · checking…

9 passed1 finding · each a path forward

Documented

The dossier your auditor expects. Every layer documented, every claim sourced, ready when asked.

THE DOSSIER · AUDIT-READY

EU AI Act evidence packassembled · sourced
Layer reports · 17documented
Renewal · operation phasescheduled

Audited

Validation holds after launch. Drift caught, findings raised, the dossier kept current.

Monitoring · over time

driftfixnew
now · validated anew · with you

What Assurance returns.

Clearance

Launches are cleared on evidence, and your markets open sooner.

Compliance

Every AI is mapped to the regulation that applies, at article level.

Scale

Validate the structure once, and every AI you run is held to it.

Governance

Every claim is sourced, and every layer documented.

Your AI works. The question is whether it would pass an audit.

What runs unvalidated today?

Some of your AI is live, some still on the roadmap, and all of it faces the same question. The analysis maps every system on the Kenza AI platform: your AI classified across six types and six autonomy levels, validated against seventeen layers, matched to industry-validated use cases. Grounded in peer-reviewed science. From there, we build.

AI adoption · sample review

Customer service assistant17 of 17
Lead scoring model14 of 17 · findings
Regulatory reporting17 of 17
Content pipeline9 of 17 · review
Shadow toolsunexamined
live · on-brand data

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Ask your first question.

The seventeen layers are seventeen independent validation layers, each assessed and evidenced. They span regulation and compliance, governance and human oversight, security and robustness, performance and quality, explainability and fairness, and whether the use case earns its place.

The seventeen layers validate any AI you run, whatever its source: built by you, bought from a vendor, inherited through acquisition, or already in production. The validation is separate from the builder, which is the point. Independence is what makes the evidence worth having.

A validation against the seventeen layers returns findings, evidence, and the dossier your auditor expects. Every layer documented, every claim traced to its source. The same standard we apply to the 180 regulatory-grade use cases in the Kenza AI platform, applied here to the system you actually run.

When a system fails a layer, a finding opens, with the evidence behind it and a route to resolution. Validation is a path rather than a verdict, and the aim is a system cleared for deployment. Where a finding stays open, it is recorded as open.

Certification is issued by a notified body. Validation against the seventeen layers is what stands behind it: the evidence, the dossier, and the reasoning your auditor and your notified body will ask to see. It prepares the case rather than replacing the authority.

Validation is scoped to the systems in view: how many, their risk class, and the depth each layer requires. Every engagement begins with the analysis, which reads what you already run and scopes the work against the 180 use cases already in the platform.

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