Stop Manual Policy Comparison and Renewal Processing

Most mid-sized independent insurance agencies rely on an Agency Management System (AMS) such as Applied Epic, Vertafore, or HawkSoft for their core operations. While these systems are invaluable as databases of record, they typically offer limited native automation for interacting with external carrier portals. Although services like IVANS Download can retrieve some policy data, it frequently arrives unstructured or incomplete, necessitating extensive manual cleanup before it can be accurately integrated into the AMS.

Consider the common scenario of a commercial lines account manager preparing for a client's renewal. This often requires comparing the expiring policy against two or three new quotes from different carriers. The process demands logging into multiple separate carrier portals, navigating to locate specific policy documents like Declaration Pages, schedules of coverage, and endorsement forms, and then meticulously re-keying dozens of fields—such as coverages, limits, and specific endorsements—into an internal spreadsheet or directly into the AMS. This workflow alone can consume 30-45 minutes per client and is highly susceptible to data entry errors, which can lead to critical coverage gaps or E&O risks.

The fundamental challenge lies in the proprietary nature of carrier portals, each with its unique interface and data formats. An AMS is architected to be a central system for managing your agency's data, not a flexible, real-time data extraction and normalization engine for dozens of third-party websites. These systems are designed to consume structured data when it's pushed to them, not to actively pull, interpret, and structure information from the inconsistent external world of carrier-specific web applications and PDF documents.

The consequence is that your most skilled account managers and service staff spend valuable hours on low-value, repetitive data entry instead of engaging in client advisory or business development. This administrative burden not only caps the number of clients each team member can efficiently service, limiting agency growth, but also introduces a constant risk of manual mistakes that undermine data integrity and client satisfaction.

An engagement with Syntora would commence with a thorough audit of your agency's current policy management workflows. Syntora would collaborate with your team to map out every carrier portal utilized, pinpoint the specific documents required for tasks like policy comparison (e.g., Declaration Pages, policy forms, endorsements), and analyze the precise fields necessary for integration with your AMS (Applied Epic, Vertafore, or HawkSoft). Clients would receive a detailed process map identifying exact automation opportunities and defining the data contracts for each carrier integration.

The core of the proposed system architecture would involve a set of AWS Lambda functions engineered to perform secure browser automation. These functions would systematically log into specified carrier portals, navigate to relevant policy documents, and download them. A separate FastAPI service would orchestrate these operations and utilize the Claude API to parse these diverse policy documents, extracting data into a standardized JSON format. Syntora has successfully implemented similar document processing pipelines using Claude API for sensitive financial documents, demonstrating its capability to accurately extract and normalize data from varied, unstructured layouts, a pattern directly applicable to the diverse and complex document types found in insurance policy administration. This approach significantly reduces reliance on brittle, rule-based extraction methods.

The delivered system would expose a user-friendly interface where your team could input a client identifier and, within minutes, receive a generated side-by-side policy comparison, or trigger a pre-fill of renewal application fields. The extracted and normalized data would also be designed to push directly into the appropriate fields within your AMS via its API, eliminating manual data entry for these tasks. Backend data persistence would be managed using Supabase. A typical engagement for automating processes across up to 10 distinct carrier portals and their associated documents would involve a build timeline of approximately 4-6 weeks. Upon completion, clients receive the full source code, comprehensive documentation, and a maintenance runbook.