VeraFrame
AI makes decisions in your process, even when you do not always notice it
VeraFrame is an AI output governance, verification, and risk management layer for companies using AI with their own data. It checks AI-generated answers, documents, and JSON outputs before they create errors for customers, employees, or downstream systems.
What VeraFrame helps prevent
- wrong prices, terms, and service promises
- fabricated or unsupported claims
- incorrect answers given to customers or employees
- bad AI data moving into downstream systems
- the same data errors repeating day after day
How VeraFrame works
- AI produces an answer, document, or structured JSON output against enterprise data.
- VeraFrame compares the output to source data and shows what holds up and what does not.
- When things are unclear, a human decides what to fix and what to approve.
- Findings can also be routed into the organization’s own ticketing or remediation process.
Ways to use VeraFrame
- directly in the browser without integration
- through REST API in your own applications, agents, and workflows
- deployed in your own AWS or Azure environment