Context
An $8B mortgage originator faced rising quality-control workloads across three 20-step loan-quality processes.
Challenge
Three 20-step loan-quality processes were slow, manual and error-prone.
What we deployed
Document AI and workflow automation across loan-quality review.
Typical architecture
- STEP 01
Loan files ingested from the LOS
- STEP 02
Document AI extracts and cross-checks data fields
- STEP 03
Exceptions routed to reviewers with evidence
- STEP 04
Outcomes logged to the audit trail
Illustrative of how this solution is typically structured and governed; deployment specifics are available under NDA.
Results
- −98% processing time on three 20-step processesPartner-reported
- −50% manual effortPartner-reported
- −40% underwriting case rejectionsPartner-reported
NoteResults from deployments by GoGenesis and its platform partners. Outcomes vary by portfolio and operating environment; your results are set in the pilot.
Governance approach
- Reviewers resolve every exception
- Full audit trail of checks performed
Illustrative of how this solution is typically structured and governed; deployment specifics are available under NDA.