Every dispute letter triaged the moment it arrives

Forward borrower correspondence to one address and get back a prioritised, routed worklist — without the letter text leaving the pipeline.

Schedule
Runs on each inbound email
Integrations
Anthropic ClaudeSendGrid

The problem it solves

Borrower correspondence arrives as whatever the borrower had to hand: a clean PDF, a scan, a photograph of a letter taken on a phone. Someone has to open each one, work out what is actually being raised, and decide how urgently it needs to move. That reading is slow, it is inconsistent between readers, and the letter that mentions bankruptcy or military service is the one that cannot afford to sit in a queue.

This workflow runs the moment correspondence lands at its inbound address. It reads every attachment — photographed and scanned images included, not just clean PDFs — strips out the servicer's standard letterhead and disclosures so only the borrower's own substance is considered, then classifies what is being raised: legal action, bankruptcy, disability, death, military service, payment disputes, complaints, fraud, and more. Four independent detection methods run over each document rather than one, so a letter has to evade all of them to be missed.

Each document comes back tagged with its codes, a routing queue, and a priority, assembled into a single spreadsheet emailed to the operator and archived for audit. The output is deliberately privacy-trimmed: the borrower's letter text stays out of it, so the worklist can be circulated without circulating the correspondence itself. Every document is accounted for on the sheet, so nothing goes missing between the inbox and the queue.

Who it's for

  • Loan servicing operations teams triaging inbound borrower correspondence
  • Default and loss-mitigation teams who must act fast on bankruptcy, military, or legal notices
  • Compliance teams needing an auditable record of how each dispute was classified and routed
  • Operations leads replacing manual mail sorting with a prioritised queue

How it works

Each step is configured, audited, and traceable — not code.

How the Dispute Correspondence Triage & Routing workflow runs, step by step 1 Ingestcorrespondence 2 Extract text 3 Redact boilerplate 4 Detect keywords 5 Map to codes &route 6 Report & notify Turns the emailed attachmentsinto a work-list so each documentis processed independently Reads each document's text — PDFsand photographed/scanned images —straight from storage Removes the servicer's standardletterhead/disclosures so onlythe borrower's substance isclassified AI-counts dispute keywords(method 1 of 4). Skipped on emptycontent Maps the four detectors to smartcodes and concept-category counts(C1) for routing Renders the triaged,privacy-trimmed CSV and archivesit How the Dispute Correspondence Triage & Routing workflow runs, step by step 1 Ingest correspondence Turns the emailed attachments into a work-list so eachdocument is processed independently 2 Extract text Reads each document's text — PDFs andphotographed/scanned images — straight from storage 3 Redact boilerplate Removes the servicer's standard letterhead/disclosuresso only the borrower's substance is classified 4 Detect keywords AI-counts dispute keywords (method 1 of 4). Skipped onempty content 5 Map to codes & route Maps the four detectors to smart codes andconcept-category counts (C1) for routing 6 Report & notify Renders the triaged, privacy-trimmed CSV and archivesit

Questions

How does it start?

It runs on each inbound email — forward or route correspondence to its address and the run begins on arrival.

Can it read scans and phone photos?

Yes. Attachments are read as images as well as PDFs, so photographed and scanned letters are handled alongside clean documents.

Does the borrower's letter text end up in the output?

No. The spreadsheet is privacy-trimmed by design — it carries the codes, route, and priority for each document, not the correspondence text.

What is it looking for?

What the borrower is raising: legal action, bankruptcy, disability, death, military service, payment disputes, complaints, and fraud, among others.

How does it avoid missing something?

Four independent detection methods run over every document, and the servicer's own boilerplate is removed first so it cannot drown out the borrower's substance.

What does it connect to?

Anthropic Claude to read and classify the documents, and SendGrid to deliver the triaged spreadsheet.

Put this workflow to work

We'll walk your process end to end and show you what it looks like running in Arrow AIM — with a human in the loop and a complete audit trail.