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AI SolutionsCommercial lending

Call commitments become structured records, each human-confirmed

Call transcripts, scrubbed of personal data, turned into clean records a person confirms with one click.

PII redacted before the model sees it
Typed events, verbatim-grounded, human-confirmed

The challenge

Promises made on a call live in the rep's head until they write a note, so things slip. And an AI summarizing the call will happily invent an amount or date that was never said.

How we solved it

The call is processed turn by turn, with personal data scrubbed before anything reaches the AI. It pulls out clean records: a promise to pay with an amount and date, a dispute, a callback, an escalation, each with a confidence score, and every value has to match the transcript exactly. They show up as one-click cards a person confirms. The transcription source is pluggable, so a live voice stream and a recording follow the same path.

The result

Promises become real, actionable records instead of half-remembered notes, with a person confirming each one before it counts.

Technologies

.NETAzure SpeechPII redactionStructured outputConfidence scoring