Improve New Customer Onboarding with AI Automation

Independent insurance agencies frequently encounter a critical bottleneck when onboarding new commercial clients or those requiring niche policies: the limitations of standard Agency Management Systems (AMS) like Applied Epic, Vertafore, or HawkSoft, even when paired with popular raters such as EZLynx. While these platforms excel at automating personal lines from major carriers, their data models and integrations are often fixed, leaving out specialty and regional carriers essential for competitive offerings.

Consider an agency serving a commercial client with complex needs, perhaps requiring specific General Liability, Professional Indemnity, or Property coverage from multiple carriers not directly integrated with their AMS or rater. This scenario forces producers into a highly manual, time-consuming workflow. They must log into 3-5 distinct carrier portals, each with its own interface and data entry requirements. This often involves meticulously re-typing dozens of data points from ACORD 125, ACORD 126, or even ACORD 130 forms directly into disparate web forms. After submitting, they wait for each portal to generate a quote, which often comes as a PDF document. The producer then manually extracts key figures like premiums, deductibles, and coverage limits, copying them into a spreadsheet for side-by-side comparison.

This process is not only inefficient, consuming 30-60 minutes per new customer for complex cases, but also introduces significant operational risks. Manual data entry is highly susceptible to errors, where a single typo in a client's revenue, square footage, or claims history can lead to an inaccurate quote, potentially damaging client trust or creating errors and omissions (E&O) exposure. Furthermore, the delay in generating multiple quotes provides prospective clients with ample time to consider competitors. From a producer's perspective, this repetitive, low-value administrative work detracts from high-value client engagement and can contribute to burnout. The fragmented data also makes it challenging to maintain consistent client records within CRM platforms like Hive. The structural issue is that many AMS platforms and raters operate as closed ecosystems, not designed for flexible extension to integrate with the full spectrum of carriers an independent agency needs to offer comprehensive coverage. This creates a dilemma: sacrifice efficiency for comprehensive market access, or limit client options for faster onboarding.

Syntora's approach to automating multi-carrier quoting begins with a focused discovery and technical audit. We would collaborate closely with your team to map your existing new customer onboarding workflows, paying close attention to how you currently manage data within your AMS, such as Applied Epic, Vertafore, or HawkSoft. Simultaneously, we would conduct a detailed analysis of your top 5-10 specialty and commercial carriers. This audit would identify which carriers offer modern APIs, which require agent portal interaction, and the specific data fields and formats required for accurate quoting (e.g., ACORD form data, underwriting questions). The outcome of this phase is a comprehensive scope document, outlining the specific integration strategy for each carrier and the overall system architecture.

The core of the custom automation system would be a FastAPI service, deployed on a scalable serverless architecture like AWS Lambda to handle quoting requests efficiently. For carriers providing robust APIs, the FastAPI service would make direct, parallel HTTP calls using libraries like httpx to retrieve quotes rapidly. For carriers lacking APIs, or those with highly customized web portals, the system would employ browser automation techniques to securely log in, navigate the portal, input the necessary client data, and submit quote requests. We have extensive experience building document processing pipelines using Claude API for financial documents, and the same pattern applies here: if a carrier portal returns a PDF quote document, the Claude API would parse the PDF, accurately extract key figures such as premium, coverage limits, deductibles, and policy terms, then normalize this data into a structured format within a Supabase database. This intelligent extraction ensures data consistency regardless of the carrier's output format.

Crucially, this system is designed to integrate seamlessly into your existing operational environment, avoiding the need for your team to learn a new standalone application or dashboard. We would design the system to expose its functionality through your preferred workflow. For instance, a producer might trigger the automation by uploading an ACORD form to a designated folder, sending an email with client details, or by initiating an action directly within your AMS or CRM like Hive via a Workato integration. The system would then process the request and deliver a side-by-side comparison of the normalized quotes, along with the original source documents, directly back to the producer. This comparison could be automatically logged as a client note in your AMS, ensuring all relevant information is centrally available. The typical build timeline for a system handling 5-7 carriers with a mix of APIs and browser automation would span 8-12 weeks, with client participation required for defining business logic, providing carrier portal access, and testing.