contract_management · workflow
How Pretto streamlines mortgage processes with automation
Pretto faced two operational crises: skyrocketing mortgage rates in 2022 left brokers unable to operate effectively, and complex error-prone data transfers across 16 banks with unique requirements created ongoing inefficiency.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Market crisis triggers pivot
Skyrocketing mortgage rates froze the housing market in 2022, leaving Pretto's brokers unable to operate effectively.
Tools used
ZapierDropbox SignSlackGoogle SheetsChatGPT · partnerGmail · partnerBigQuery · partner
Outcome
Automated consultancy contracts reached 10% of Pretto's annual revenue within a year, and the bank data workflow saves the equivalent of one full-time employee per year while reducing errors and ensuring rapid, accurate processing.
Results
Volumeone full-time employee per year
Cost replaced10%
Grounding & classification
Source type: vendor customer story
29 fields verified against source quotes.
data extractioncontractmetric backednamed customerproduction runtime claimedtools describedworkflow describedfinancial servicescycle time reductionemployee productivityerror reductionrevenue increasevendor customer storyback office opscontract managementfinance opsdata sync enrichmentdocument to record