ProofPack is an offline Windows prototype that organizes invoices, rate cards, and supporting evidence, compares billed line items against expected rates, highlights variances, and exports a structured packet for human review.
The demo uses safe sample materials. Prototype conversations should use non-confidential or sanitized data only.
A short demonstration showing ProofPack create a case, ingest evidence, extract invoice data, compare against a rate card, surface deltas, and export a packet.
Invoice discrepancies often hide across PDFs, spreadsheets, rate cards, screenshots, AP portal exports, emails, and manual notes. Finding the delta can take too long, and turning the result into a clean review packet creates even more work.
ProofPack organizes the case, ingests supporting evidence, extracts invoice line items, compares billed rates against approved rates, highlights variances, and exports a structured packet for human review.
This is not just a UI mockup. The demonstration shows a working workflow moving from scattered evidence to reviewable output.
The case begins with a named billing discrepancy, then ingests a packet of supporting files so the work is organized around a reviewable matter.
Invoice-like files are extracted, line items are compared against the approved rate card, and mismatches are surfaced with reason codes and suggested notes.
The prototype exports a packet with a PDF, evidence archive, and manifest so the findings can be reviewed, shared, and inspected.
ProofPack can be demonstrated with non-confidential or sanitized sample materials. Early prototype work does not need live customer PII, private company data, production system access, or sensitive records.
ProofPack is not legal advice, compliance automation, financial transaction processing, or a replacement for professional judgment. It is a workflow prototype that organizes evidence and prepares reviewable outputs.
ProofPack is invoice-specific, but the larger pattern is broader: a repeated business process had too much scattered evidence, too much manual comparison, and too much packet assembly. Court Les Rues shaped that fog into a focused tool with a reviewable result.
That same pattern can apply to document workflows, intake systems, checklist processes, internal trackers, manual handoffs, and other work your team keeps doing the hard way.
Send the process, the current pain, and what a better version would need to make easier. Prototype conversations should begin with non-confidential or sanitized examples.
