Enterprise AI assurance, as a feature.

Your buyers are being audited on the AI features you ship. Until you give them evidence, their audit is your problem.

The new procurement question

SaaS vendors selling into banks, insurers, hospitals, and government agencies are hearing a new question in security reviews: if your AI feature makes a decision that affects our regulated workflow, what evidence will we have? This question did not exist three years ago in most procurement processes. It exists now, and the answer "we have robust logging" is no longer accepted.

The pressure is coming from the buyer's own regulators: SR 11-7 examiners, state DOI market conduct exams, HHS OCR audits, EU AI Act enforcement starting August 2026. Your customer cannot comply if your product does not produce evidence. That gap is increasingly a deal-breaker.

What Veridra becomes inside your product

An assurance feature you ship

Veridra is the evidence infrastructure inside your AI features. When your customer uses your AI-powered underwriting module, your AI-powered clinical documentation tool, or your AI-powered procurement assistant — each decision produces a signed record, logged to a transparency tree, and available to your customer as an evidence pack. This becomes a feature on your product page rather than a compliance cost.

A differentiator in procurement

SaaS platforms competing for regulated-industry deals are increasingly differentiating on evidence capability. The vendor that answers "here is a sample evidence pack our regulator can review" wins against the vendor that answers "we will provide logs on request". Working with Veridra shortens the path from "this is on the roadmap" to a scoped pilot with real evidence output.

A retention moat

Once your customer integrates their audit workflows with your evidence output, switching cost rises significantly. The evidence pack format, the framework crosswalks, and the retention commitments become part of the customer's own compliance infrastructure. A Veridra-backed evidence layer can make your product part of the customer's assurance architecture, not just their feature stack.

Technical fit

• Per-customer signing options — customers can bring their own key or use a managed signing path scoped to the engagement.
• Tenant isolation — deployment boundaries are designed around per-customer evidence separation and access control.
• White-label evidence workflows — partner-branded evidence delivery can be designed where the engagement requires it.
• Regional deployment scoping — residency commitments are set against the approved infrastructure footprint for each customer deployment.
• Commercial flexibility — pricing and rollout are scoped per pilot or design-partner engagement rather than forced into a fixed reseller model.

Common starting points

SaaS partners typically start with one product surface — the AI feature that faces the most procurement friction in regulated accounts. For fintech infrastructure, that's often fraud or KYC. For insurance tech, claims decisions. For healthcare SaaS, clinical decision support or prior authorization. Integration scope, rollout timing, and evidence-pack delivery are set during a design-partner engagement based on the product surface and deployment boundary involved.