Customer outcomes
What changes in the first 90 days.
Three lender profiles — retail, wholesale and credit union — with the before-and-after numbers that matter to a P&L: cycle time, cost per loan, capacity per head and compliance exposure.
Median cycle-time reduction
73%
Median cost-per-loan reduction
83%
Capacity per processor
3.4×
Critical defect rate
0.9%
Cut cycle time by 25 days without adding a single processor.
Retail lender · 1,200 loans/yr · 6 states · migrated from Encompass + 4 bolt-ons
Clear-to-close
34 days9.1 days
Cost per closed loan
$1,940$318
Files per processor
1861
The processors did not learn a new system so much as stop doing the parts of the old one that were never really their job.
Onboarded 180 brokers in a quarter with two AEs.
Wholesale lender · 3,400 loans/yr · 22 states · migrated from In-house LOS + broker email intake
Partner onboarding
21 days1.4 days
Broker submission → CTC
19 days7.8 days
TPO volume YoY
—+31%
Brokers pick the lender that answers fastest. We stopped losing scenarios to response time.
Zero exam findings on the first cycle after migration.
Credit union · 640 loans/yr · single state · migrated from Legacy core + manual compliance review
TRID timing exceptions
27 / yr0
Exam prep effort
6 weeks1 export
Member satisfaction
71 NPS88 NPS
The examiner asked for the decision trail and we handed over a file, not a project plan.
Parallel run, not a leap
New originations start on NexusMortgageOS while the legacy stack finishes its pipeline, so no loan is migrated mid-flight and no closing date moves.
Three weeks to production
Discovery, data mapping and validation run concurrently; go-live is a switch of intake, not a twelve-month program.
Measured from day one
Cycle time, cost per loan and automation share are instrumented from the first file so the business case proves itself in-quarter.
These lender profiles and results are illustrative composites created for this demo workspace, not verified customer references.