A home restoration firm's CEO and COO were personally spending three hours on every proposal review, comparing contractor estimates against insurance adjustments line by line, hunting for discrepancies worth negotiating.
The process consumed 20 to 30 percent of their combined executive time. Deals that required multiple review rounds lost momentum and sometimes clients. The bottleneck wasn't fieldwork. It was paperwork sitting on the desks of the two people who could least afford to be doing it.
Ciridae built an AI document comparison pipeline for a home restoration firm, encoding the CEO's negotiation expertise as structured rules applied automatically at scale. The system ingests contractor estimates and insurance adjustments, classifies every line item, flags discrepancies, and produces an annotated comparison document in minutes, replacing three hours of manual executive review per proposal.
The CEO and COO reclaimed 20–30% of their combined executive time, previously consumed by manual line-by-line proposal comparisons that now happen automatically.
The AI pipeline identified proposal discrepancies with greater accuracy than manual human review, catching recoverable dollars that the previous process was leaving behind.
Average recovery per proposal increased by approximately $500, with the cumulative impact projected to significantly multiply the firm's enterprise value over time.
- How a Custom Manufacturer Cut Engineering Time 60%Remix Partners · Manufacturing & Industrial
- How One Manufacturer Halved RFQ TurnaroundRemix Partners · Manufacturing & Industrial
- How a Cosmetic Surgery Group Lifted OR Utilization Above 70%CorralData · Healthcare & Life Sciences
- How an Estimating Team Cleared a 40-Project Backlog with AIBaseForge Advisors · Construction & Engineering