A confidential financial services organization engaged The Algorithm around fintech, finance, compliance. Client identity, location detail, scale, and commercial terms remain withheld. The borrower experience was so poor that their NPS score was negative.
The inherited environment combined application behavior, data movement, user workflows, and operational dependencies. Engineering began by locating authoritative data, integration contracts, control owners, failure behavior, and a reversible acceptance boundary.
The Algorithm leadership confirms this engagement as part of the company’s delivery history. Public wording is limited to the technical narrative while client-sensitive and precision claims complete leadership review.
Digital mortgage origination platform — application through closing. Borrower-facing app with progressive disclosure, document upload with AI-powered document classification, and real-time status tracking. Under the hood: automated income and asset verification, credit pull integration, AUS submission to Fannie Mae and Freddie Mac, automated TRID disclosure generation, and a compliance engine checking every data point against federal and state regulations before submission. Loan officer dashboard with pipeline management and exception handling.
The engagement produced a working change to the client’s system or operating workflow. Exact measurements, delivery duration, audit outcomes, and client sentiment are withheld until the corresponding leadership-confirmation items are resolved.
The first call is with a senior engineer.
Tell us the system boundary, operating constraint, and evidence required for acceptance. We'll identify the assumptions and technical questions that should shape the engagement.