What this solves

Teams lose hours moving information out of PDFs, emails, forms, reports, and attachments into the place where work actually happens. The hard part is not extraction alone. The hard part is validation, exception handling, and making sure bad data does not silently spread.

This offer turns a recurring document flow into a reviewed processing workflow.

What we build

A document intake map: sources, file types, fields, owners, and exception cases.
An extraction and normalization workflow for the specific fields that matter.
A review queue for low-confidence, incomplete, or high-risk records.
Structured output into the operational destination: sheet, CRM, database, ticketing system, or handoff file.

Deliverables

Target data schema and validation rules.
Extraction workflow with confidence checks and human review triggers.
Structured output format ready for the destination system.
Runbook for sampling, QA, escalation, and future template changes.

What we need from you

Representative documents, including messy and edge-case examples.
The target fields, destination system, and owner of data quality.
Rules for sensitive data, retention, access, and manual overrides.
Current error examples so the workflow is tested against real failure modes.

Risks and constraints

Blind document automation is how small errors become operational debt. We design for reviewed extraction first, then increase automation only where the workflow proves stable.