What comes in
Document types and source locations are agreed during design. Examples include contracts, scanned records, spreadsheets, and archives.
Your team has the information, but it is buried in contracts, scans, spreadsheets, and archives. Re-keying it is slow, and an extracted field is not useful unless someone can check its source.
The ingestion engine shared by platform applications. Contracts, scans, spreadsheets, and archives can be processed into governed, queryable information with source citations.
Documents, records, and event data enter through controlled ingestion. Document extraction preserves the original source so a result can be traced back to its origin.
This diagram explains the processing model. It is illustrative only: this page does not accept uploads or process documents.
Every extracted result can retain a reference to its source. Specific formats, validation rules, and system handoffs are defined for the target environment.
Document types and source locations are agreed during design. Examples include contracts, scanned records, spreadsheets, and archives.
Structured fields and extracted content with validation status, source context, and an agreed path to downstream systems.
Document repositories, shared storage, ERP and EPM interfaces, and database destinations are assessed during discovery. Supported formats and specific system connectors are confirmed against the customer's environment.
The duration and exact deliverables are scoped after discovery. These are the phases, not a promised timeline.
Agree document sources, sample corpus, fields, and acceptance criteria
Design classification, validation, and access rules
Build the ingestion pipeline and test against reviewed source documents
Deliver the approved schema, source-linked outputs, and operating procedures