How a Mortgage Lender Cut Compliance Checks to Seconds

The lender operated across all 50 states, each with its own compliance rules, and tracked employee compliance through inconsistent manual processes. Checking whether one employee was compliant meant about half an hour of gathering records from several systems, which created regulatory risk and exposure to class-action litigation.

BaseForge built a compliance system into the lender's Microsoft 365 environment. Custom software collects the records the program needs, an ontology layer resolves each employee consistently across systems, and rules-based logic determines compliance. Dashboards give branch managers and executives a live view of where everyone stands. On top of that, AI serves as an analytical layer across the anonymized data the system collects, surfacing patterns that inform future versions of the program. Compliance determinations come from the rules, with AI kept out of that decision.

The lender operated in all 50 states, each with its own rules, and tracked employee compliance through inconsistent manual processes. BaseForge built the system into the client's existing Microsoft 365 environment, adding custom software to collect the information it needed. The hardest part was connecting data across systems: a name or ID in one system rarely matched its counterpart in another, so the team built an ontology layer in the middle to resolve each person consistently. Rules-based logic then determines compliance and tracks meeting attendance, attestations and license status, and a BI report lets branch managers and executives see status at a glance. An AI analytics layer runs across the anonymized data to inform the next versions of the program. Given the sensitivity of the work, BaseForge keeps the AI details high level.

Multi-jurisdiction, highly regulated operators that need consistent, automated compliance monitoring layered onto existing enterprise systems.