Implementation Outcomes

Before and after: what changes when the data entry is automated

These are role-described implementations — E&S carriers, specialty MGAs, and London market syndicates — with specific before-and-after metrics on submission processing time, extraction accuracy, and underwriter throughput. No named carriers per standard NDA practice.

E&S Carrier Reduces Submission-to-Quote Time from 4.1 to 2.4 Business Days

A mid-sized E&S carrier writing professional liability and miscellaneous E&O was processing 400+ submissions per month with a team of six underwriters and two assistants. Loss run processing and ACORD form data entry accounted for an estimated 2.1 hours per submission.

After deploying Undwrlyft's Submission Intake and Loss Run Extraction modules, the carrier reduced manual data handling time by 78% per submission. Underwriters reported spending significantly more time on actual risk assessment and significantly less time on document preparation.

78% Reduction in manual data handling

4.1 → 2.4 Days to quote (business days)

94% Loss run field extraction accuracy

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MGA Scales Submission Volume Without Adding Underwriting Staff

A specialty MGA writing commercial excess and umbrella was experiencing significant submission growth driven by broker relationships. The team was spending the majority of pre-underwriting time on document preparation rather than risk evaluation. Staff capacity was the binding constraint on growth.

By deploying Undwrlyft's full submission workflow — intake routing, loss run extraction, and pricing model pre-fill — the MGA's underwriting team was able to evaluate significantly more submissions per day without adding headcount. New broker relationships no longer required parallel staffing increases.

3.2x Submissions handled per underwriter per day

0 New underwriting staff added to scale

91% Extraction accuracy on supplemental forms

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London Market Syndicate Automates Slip Data Extraction for Property Catastrophe

A Lloyd's syndicate writing property catastrophe reinsurance received slips in both structured and legacy formats from brokers across London, Bermuda, and the US. The back-office team was manually transcribing key slip fields into the pricing model before each submission could be underwritten.

Undwrlyft's extraction engine was configured with the syndicate's specific slip templates and catastrophe-specific field mappings. The system now processes incoming slips and pre-populates the pricing model, with underwriters reviewing extracted data rather than entering it manually. The full implementation was completed in three weeks.

65% Reduction in slip data entry time

3 wks Implementation timeline

12 Slip templates configured

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See what the numbers look like for your specific volume and lines

Every implementation is different — lines of business, loss run format complexity, pricing model structure, and PAS all affect the outcome. Tell us about your workflow and we will scope what Undwrlyft can realistically deliver for your team.

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