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Example engagement · Debt Collection Agencies

AI Dispute and Correspondence Handling for Collections

Correspondence handling that reads every letter and email, classifies disputes, pauses collection where required and drafts the validation response.

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-65%
Handling time per letter
100%
Disputes acknowledged within deadline
Same day
Collection paused after a valid dispute
Profile — Collection agency, about 3,000 written disputes and letters a monthTimeline — 6 weeks to productionTeam — 2 engineers + 1 compliance officer
Representative engagement: a composite of the AI work we deliver in this industry, not a named client's project. Figures are the outcomes this kind of build typically delivers, and they are the targets we agree and measure in a pilot before scaling.
The problem

Letters were read and routed by hand. Missed dispute deadlines were the agency's biggest regulatory risk.

What we build

The approach.

  • 01Digitised incoming mail and email into one queue.
  • 02Classified disputes, validation requests and cease-communication letters.
  • 03Paused collection activity automatically where the law requires.
  • 04Drafted responses from approved templates for staff to review.
Where the AI works

Claude reads each letter, determines its legal type, extracts the account and drafts the right response.

Claude APIPythonMail scanningCollection platform APIPostgres
Proof, not promises

How we measure it.

Handling time is logged per letter. Deadlines are tracked from receipt. Pause timing comes from the platform's activity log.

Questions

Before you ask.

Staff review and send every response. Beyond Technologies keeps the AI to classification and drafting.

Yes. It recognises them and blocks further contact on the account automatically.

Next step

Want this measured on your own data? Start with a pilot.

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AI for Debt Collection Agencies →AI Integration →Security & Compliance →Next example: Compliant AI Voice Agent for a Collection Agency →Named client case studies →

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