The AuditLogService_Mail structure in the Yandex 360 API contains 22 fields, including subject and participant addresses, but lacks data on invoice amounts, counterparties, or contract numbers. The message_receive event type also does not provide document content or attachment details.
To automate document processing, developers must implement a pipeline that reads and extracts data from files. This requires an integration node to bridge the gap between the event log and the actual document content, followed by recognition, verification, and database entry steps.
When using AI models like Claude for document interpretation, developers must account for limitations regarding image quality, resolution, and potential hallucinations. Anthropic advises against using the model for high-stakes tasks requiring perfect precision without human oversight.
The document processing workflow should include a verification step for ambiguous cases and a logging system to track document history. Currently, there are no live implementations of such pipelines, as projects are still in the approval stage as of September 4, 2026.
