A growing lending operation — consumer and small business loans — operating across 8 states with plans to expand to 20. Their compliance team was manually reviewing every loan file, manually generating HMDA and CRA reports, and manually checking state-specific regulations. With 200 loans per month, they needed 4 compliance analysts. At their target of 2,000 loans per month, they'd need 40. The model didn't scale.
A state regulatory examination found 12 compliance deficiencies — none critical, but enough to trigger enhanced monitoring. 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.
They needed compliance automation that was actually automated — not a workflow tool that still required human review on every file. We built compliance engines that enforce rules, not document violations after the fact.
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. HMDA data collection automated at the point of origination. CRA reporting automated from transaction data. State-specific rate and fee compliance checking against usury laws. Regulatory examination preparation — the system generates a complete examination package on demand.
Compliance review went from 4 analysts reviewing every file to 1 analyst reviewing exceptions — the 3% of files the automated engine flagged. The next regulatory examination found zero deficiencies. Scaled from 200 to 1,200 loans per month without adding compliance staff. State expansion became a configuration change, not a hiring exercise.
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