Inference provenance, audit trails, review workflows and evaluation records.
Demonstrating that AI-derived outputs were produced responsibly — with records that exist because of the workflow, not despite it.
Organisations deploying AI in consequential workflows need to demonstrate that outputs were produced responsibly — with records of what model was used, what the source material was, and who reviewed and approved the result.
Interface records source assets, model version, prompt version and framework version for every inference run. Human review and approval workflows are built into the platform. Records are created as part of the workflow, not retrospectively.
Inference provenance is structural rather than procedural. Audit trails support internal review, regulatory reporting and quality assurance. Records cannot be bypassed because they are generated by the platform itself.