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ACORD intake volume automated
Structured data captured per submission
Under writer time redirected to risk review
A top-15 commercial P&C carrier was managing more than 2.3M broker-submitted ACORD forms annually across ACORD 125, 126, 130, 140, and specialty endorsement packages.
Submissions arrived through broker portals, email, IVANS, and direct feeds, creating a high-volume intake environment that underwriting teams had to process before any risk evaluation could begin.
The problem was submission readiness.
Underwriters spent 60–70% of their time manually extracting limits, exposures, schedules of values, loss runs, prior carrier history, and other field-level details from PDFs and mixed form packages.
Intake teams also had to identify form types, reconcile inconsistent broker data, and route incomplete submissions back for correction.
The business impact was direct.
Slow intake delayed quoting, reduced underwriter capacity for risk selection, and weakened broker responsiveness in a market where speed and data quality affected placement decisions.
Every hour spent on form extraction was time not spent evaluating accounts, improving quote quality, or protecting profitable growth.
The executive trigger was the need to turn high-volume broker intake into a competitive underwriting advantage.
Operations, underwriting, and digital leadership needed a governed Form Automation solution that could classify ACORD forms, extract structured data, validate submissions, flag gaps, and route clean packages to the underwriting workbench.
Novacis Digital deployed Form Automation, an AI-powered underwriting intake solution built to convert broker-submitted ACORD packages into structured, review-ready underwriting records.
The solution ingested submissions from broker portals, email, IVANS, and direct API feeds, then classified ACORD 125, 126, 130, 140, specialty endorsements, and mixed-form packages.
It extracted limits, exposures, schedules of values, loss runs, prior carrier history, and more than 200 structured fields per submission before routing validated data to the underwriting workbench.
The technical differentiation was governed multi-form extraction at commercial P&C scale: document classification, field-level confidence scoring, carrier-specific validation rules, exception routing, and downstream integration operated in one intake workflow.
Underwriters retained control over risk evaluation, quote judgment, and account selection.
This shifted the operating model from manual ACORD intake to AI-prepared underwriting submission review with human-controlled risk decisions.
Form Automation Capabilities
Case Operations Features
Novacis Digital implemented Form Automation in two stages: a 6-week intake pilot for high-volume broker channels, followed by a 10–12 week enterprise expansion across ACORD and specialty submission workflows.
The initial rollout focused on cases where PDF intake, field capture, and data validation consumed the most underwriter and operations time.
Early wins included multi-form classification, structured field extraction, carrier-rule validation, exception routing, and cleaner workbench handoff for underwriting review.
This gave operations and underwriting leadership proof that submission-to-quote speed could improve while preserving underwriter control over risk selection, pricing judgment, and account decisions.
Recovered $21.5M/year in underwriting intake capacity by converting repetitive field extraction into automated data preparation.
Reduced quote-readiness cycle by 133 hours, giving brokers faster response and underwriters earlier access to complete account data.
Improved underwriting leverage by reducing 60–70% administrative extraction burden, redirecting underwriter effort toward risk selection and quote quality.
Processed ACORD 125, 126, 130, 140, and specialty submissions with 200+ fields extracted per file, proving execution across high-volume commercial P&C intake.
Routed clean submissions directly to underwriting review, reducing intake queues and helping operations teams focus on exceptions that required human follow-up.
