Underwriting data hygiene and lender-fit pre-checks

A founder-led capital firm in business finance and lending was running deals through Salesforce, but the quality of what reached underwriting depended on how well each file was assembled upstream.

Reps were submitting incomplete applications and weakly matched files, leaving underwriting to absorb the rework and chase missing data before a decision could be made.

Incomplete applications and weak lender-fit matching drove unnecessary declines and rework before files reached underwriting.

The data quality problem lived at the point of submission, not in underwriting — files were being declined for reasons that could be caught and corrected earlier in the process.

We ran a data quality rebuild in Salesforce with hygiene gates, lender-fit pre-checks, validation rules, and field standards so reps submit complete, matchable files upstream of underwriting.

Data quality reporting gave the team visibility into submission quality, and the gates and field standards were documented so reps could run the new submission process on their own.

With hygiene gates and lender-fit logic moving checks to the point of submission, the decline rate dropped roughly thirty-five percent as more applications arrived clean and lender-aligned.

This is one angle of OpsPal's broader work with the same founder-led capital firm — the engagement featured in our named BH Capital Funding case study, where the headline metrics are reported.