Teams lose hours copying dates, totals, vendors, and line items into spreadsheets.
Turn invoices and reports into clean operational data.
A fictional proof-of-skill prototype showing how finance and operations teams can upload documents, extract fields, review low-confidence values, export structured data, and keep an audit trail without manual spreadsheet chaos.
Manual document work burns time and creates expensive mistakes.
Automation only works if the product can flag uncertainty and route it to a human.
Finance workflows need processing history, corrections, and a clean handoff path.
Extraction is only useful when the review loop is designed.
A real parser MVP should show the source document, extracted fields, confidence scores, manual correction, export shape, and audit log in one workflow. This demo simulates that structure with synthetic data.
Vendor invoice
Review and correct
Owner controls for review, routing, and export.
Start with a parser prototype before wiring production systems.
First prove the document workflow, extraction schema, review rules, export format, and handoff. Then connect real AI, storage, auth, CRM/accounting APIs, deployment, and docs.
24-72h parser prototype / workflow audit.
Full build in 1-2 weeks depending on document variety, review logic, and integrations.
Schema notes, confidence rules, export docs, deployment notes, and next-step roadmap.
Fixed core package. Larger integrations, production hardening, billing, auth, custom APIs, multi-tenant systems, or advanced deployment are priced as separate expansion milestones after scope review.
Need invoices, PDFs, or reports turned into structured data?
Send the document type and target output. The first milestone can be a fixed-scope parser prototype so you can test extraction quality and review workflow before a full build.