Roz

Roz develops an AI audit and advisory platform that automates manual steps in audit and compliance work, including evidence intake, control testing, gap analysis and workpaper or report generation. The product provides a self-serve evidence portal where clients submit documents that are automatically tagged and mapped to control activities, automated annotation and testing of incoming evidence, flagging of missing or conflicting items, and generation of audit reports, gap analyses and readiness assessments. A natural-language search feature, "Ask Roz," retrieves the relevant standard, policy, control or evidence item and highlights it for reviewer validation.

The platform is designed around a human-in-the-loop model: AI surfaces gaps while auditors review and sign off, and every answer carries an audit trail and citations back to source references. Customers define their own frameworks and controls — standards, regulations, contractual obligations or custom requirements — and map controls once for reuse across engagements. Roz also monitors control compliance and evidence continuously rather than only at audit time, and automatically maps new regulations such as SEC rules, NIS2 and DORA to existing client controls.

Stated technical characteristics include support for major evidence file types (Word, PDF, CSV and Excel among them), isolated multi-workspace environments for firms managing several divisions, clients or projects, deployment in under a day with the system reportedly usable within five minutes of document upload, and enterprise data protection under which customer data is not used to train public models.