CASE STUDY 6
Quoting & Underwriting Automated
Turning early warning signals into a structured system for identifying risk, coordinating intervention, and protecting important client relationships.
Industry: Specialty property insurance
Business Context: Catastrophe-exposed insurance products distributed across agent and direct-to-consumer channels
My role: Creative Director, leading UX & digital transformation
Focus: CUnderwriting transformation · Decision automation · Digital distribution
The Constraint
The constraint was not underwriting expertise. It was a process that required expert attention even when the decision could be made consistently from established rules and data.
Routine insurance applications depended heavily on manual underwriting. Applications often arrived by fax or phone, and underwriters reviewed and rated transactions that followed established rules as well as those that required genuine judgment.
A standard quote could take approximately two business days, while the broader process could extend much longer. As distribution expanded, increasing volume through the same model would have created a corresponding need for more underwriting capacity.
The opportunity was larger than digitizing the application. The underwriting model itself needed to change.
The System
I helped translate underwriting knowledge into a digital decision capability that automated routine eligibility and rating while preserving human review for exceptions and higher-risk decisions.
Digital Quote Intake
Agent-assisted, non-appointed distribution, and direct-to-consumer experiences moved applications into structured digital workflows rather than relying on fax, phone, and manual intake.Automated Eligibility
Underwriting requirements were translated into business rules that could evaluate routine applications consistently and identify submissions that met established criteria.Automated Rating
The platform applied approved rating logic and supporting data to calculate standard quotes without requiring an underwriter to manually rate every application.Data-Enriched Decisions
Public information and replacement-cost data were integrated into the workflow to improve the information available during quoting and reduce unnecessary manual research.Exception Management
Applications outside defined parameters were escalated to underwriters for review, concentrating expert judgment on exceptions, portfolio risk, and decisions that required deeper analysis
“Faster quoting mattered. More important was changing where underwriters spent their time.”
My Role
My work focused on translating business and underwriting requirements into a digital operating capability that could scale across distribution channels.
Partnered with underwriting and business teams to understand decision rules, exceptions, and workflow requirements
Translated underwriting expertise into structured digital eligibility and rating workflows
Designed user experiences for agent-assisted and direct-to-consumer quoting
Defined business and functional requirements for the quoting platform
Coordinated integration of external and internal information used during the quoting process
Designed exception paths that preserved human underwriting review where judgment was required
Led testing, implementation, training, and adoption across affected teams
Continued refining the experience as products, distribution models, and business requirements evolved
The Result
A faster underwriting capability that increased capacity while keeping expert judgment focused where it mattered most.
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Decisions in Minutes
Standard quote turnaround moved from approximately two business days to minutes.
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Greater Underwriting Capacity
Approximately 90% of routine underwriting decisions could be handled through automated workflows rather than manual review.
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Scalable Growth
The existing underwriting team absorbed increased transaction volume without proportional headcount growth.
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Higher-Value Expertise
Underwriters shifted more of their attention toward exceptions, portfolio risk, and product development instead of manually processing routine applications.
The most valuable automation does not eliminate expertise. It determines where expertise creates the most value.
WHAT THIS DEMONSTRATES
The transformation came from understanding which underwriting decisions were repeatable, translating that knowledge into explicit rules, and creating a workflow that knew when to automate and when to involve a person.
That principle still shapes how I approach AI and automation today. Technology should handle work that can be made consistent and repeatable, while people retain ownership of ambiguity, risk, judgment, and consequential decisions.
The Shift
FROM
Manual underwriting of routine applications, slow quote turnaround, and capacity tied closely to headcount.
TO
A digital decision capability that automated routine quoting and directed underwriters toward exceptions and higher-value judgment.
NEXT CASE STUDY
Claims & Catastrophe Transformation
Creating a unified operating environment that brought greater coordination, visibility, and control to claims during routine operations and major catastrophe events.
