Build a Custom AI to Answer Insurance Policy Calls
The best AI tools for policy inquiries are custom systems using large language models. These systems connect directly to your agency management system (AMS) for accurate answers.
Key Takeaways
- The best AI tools for insurance policy inquiries are custom systems built with a large language model like the Claude API.
- Off-the-shelf chatbots fail because they cannot access proprietary data within your agency management system (AMS).
- A custom AI connects directly to your AMS to provide accurate, client-specific answers on coverage and renewals.
- The system can reduce agent time spent on routine policy questions by over 15 minutes per call.
Syntora designs custom AI assistants for independent insurance agencies to handle policy inquiries. A Syntora system connects directly to an agency's AMS, using the Claude API to answer specific coverage questions in under 5 seconds. This approach would reduce the time agents spend on routine lookups by over 90 percent.
The scope depends on your AMS platform (like Applied Epic or Vertafore) and the number of carriers you represent. A system for an agency with a well-documented AMS API could be built in 4-6 weeks. Integrating with carrier portals that lack APIs adds complexity and time.
The Problem
Why Do Insurance Agencies Struggle with Automated Policy Inquiries?
Independent agencies often try generic chatbot builders or the basic tools included with their AMS like Vertafore's Agency Platform. These tools handle simple FAQs like "What are your hours?". They fail when a client asks a specific policy question like, "Does my current homeowner's policy cover sewer backup?". The chatbot has no access to that client's specific policy documents stored in the AMS.
Consider a 15-person agency that gets 30-40 policy inquiry calls daily. A client calls asking about adding a new vehicle to their auto policy. The agent must put the client on hold, log into Applied Epic, find the client record, open the current policy PDF, and manually check the multi-car discount terms. This process takes 5-10 minutes of manual work for a routine question.
The structural problem is a data access issue. Pre-built chatbots are firewalled from your core business data for security and architectural reasons. Your AMS, while great as a system of record, was not designed to be a real-time query engine for conversational AI. It exposes data through specific reports or APIs, not natural language questions. You need a system that can bridge that gap.
This manual lookup process consumes significant agent time that could be spent on new business or complex client needs. It also creates a poor customer experience, with clients waiting on hold for simple information. Every minute an agent spends on a routine lookup is a minute they are not quoting a new policy or advising a high-value client.
Our Approach
How Syntora Builds a Custom AI for Policy Management
The engagement would start with an audit of your current AMS and carrier portals. Syntora would map the data fields for policy details, coverage limits, and endorsements within Applied Epic, Vertafore, or HawkSoft. This initial discovery produces a data-flow diagram showing exactly how a client's question would be resolved, which you approve before any code is written.
A custom system would use a FastAPI service as a secure intermediary between a large language model and your AMS. When a query arrives, the service pulls relevant policy documents and data from the AMS. The Claude API then uses this specific context to generate a precise answer, citing the exact document and page number. All processing happens on AWS Lambda, which keeps hosting costs under $50/month for typical agency call volumes.
The final system provides an internal tool for your agents. They can type a client's question in plain English and get an instant, verified answer with source citations from the policy documents. This system would run in your own AWS account, and you would receive the full Python source code, documentation, and a runbook for maintenance. The entire build, from audit to deployment, typically takes 4-6 weeks.
| Manual Policy Inquiry Handling | Syntora's Automated AI Assistant |
|---|---|
| Time to answer a specific coverage question | 5-10 minutes per call |
| Data source for answers | Agent's memory and manual PDF search |
| Agent time spent on routine inquiries | 2-3 hours per agent, per day |
Why It Matters
Key Benefits
One Engineer, Direct Communication
The founder who scopes your project is the same engineer who writes every line of code. No project managers, no handoffs, no miscommunication.
You Own All the Code and Infrastructure
You receive the full Python source code in your GitHub and the system runs in your AWS account. There is no vendor lock-in, ever.
A Realistic 4-6 Week Timeline
A standard policy inquiry system connecting to one AMS can be designed, built, and deployed in 4-6 weeks. You see a working prototype in week two.
Clear Post-Launch Support
After handoff, Syntora offers an optional flat-rate monthly retainer for monitoring, updates, and maintenance. You always know who to call.
Deep Insurance Workflow Understanding
Syntora understands the difference between an ACORD form and a declarations page, and how data flows from carrier portals into an AMS like Applied Epic or HawkSoft.
How We Deliver
The Process
Discovery & AMS Audit
In a 30-minute call, we discuss your current policy inquiry process and AMS setup. You receive a detailed scope document outlining the technical approach, timeline, and a fixed project price within 48 hours.
Architecture & Data Mapping
You provide read-only access to your AMS. Syntora maps the necessary data fields and presents a system architecture diagram for your approval before the build begins.
Build & Weekly Demos
You get weekly progress updates and a link to a staging environment to see the tool in action. Your feedback during these demos shapes the final agent-facing interface.
Handoff & Training
You receive the complete source code, deployment runbook, and a one-hour training session for your agents. Syntora monitors the system for 4 weeks post-launch to ensure stability.
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The Syntora Advantage
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Assessment phase is often skipped or abbreviated
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We assess your business before we build anything
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Typically built on shared, third-party platforms
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Fully private systems. Your data never leaves your environment
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Zero disruption to your existing tools and workflows
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Code and data often stay on the vendor's platform
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You own everything we build. The systems, the data, all of it. No lock-in
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