Their compliance team was manually reviewing every loan file, manually generating HMDA and CRA reports, and manually checking state-specific regulations.
The compliance team was overwhelmed and errors were increasing with volume. The CEO faced a choice: slow down growth to match compliance capacity, or build compliance infrastructure that scaled with the business.
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.
Automated underwriting compliance engine. Every loan application processed against federal and state-specific regulatory rules before decision. Fair lending analysis running in real time — ECOA compliance enforced in the decision logic, not checked after the fact. Automated adverse action notice generation with regulation-specific language by state.
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.