Built for accountable risk work
Human-in-the-loop review
Riskonami supports expert judgement; it does not replace it. Users review, validate, and accept outputs before finalisation.
Structured assessment phases
Assessments follow a defined process with expected inputs and structured outputs — not open-ended prompting.
Traceable report outputs
Findings connect back to assessment context, evidence, controls, and reasoning so reports support governance and audit.
Evidence-aware assessment
Uploaded documents and system information inform assessment outputs instead of generic, disconnected analysis.
Data handling and residency
Assessment state and context are kept in Europe, aligned with GDPR-conscious deployment for organisations that need data residency.
Model governance
AI is used inside a controlled workflow. Each phase has a purpose, and users must validate outputs before issuing a final report.
Final report control
Users decide when an assessment is complete and when a report is issued. Riskonami does not auto-publish conclusions.
Assessment memory
Sessions preserve context so work can be resumed, refined, and reassessed as systems and controls change.