AI Automation/Financial Services

Automate Insurance Policy Renewals and Endorsements

Custom AI automation for policy renewals is priced as a one-time project fee based on scope. Implementation for a 15-person insurance agency typically takes 6 to 9 weeks from discovery to deployment.

By Parker Gawne, Founder at Syntora|Updated Mar 10, 2026

Key Takeaways

  • A custom AI automation project for policy renewals is priced based on scope and takes 6 to 9 weeks to build.
  • The system uses Python and the Claude API to parse carrier documents and pre-fill renewal applications.
  • It integrates directly with your existing Agency Management System like Applied Epic, Vertafore, or HawkSoft.
  • This approach would reduce manual data entry for a 15-person agency by over 200 hours per month.

Syntora designs custom AI automation for independent insurance agencies to manage policy renewals. A system built by Syntora uses the Claude API to parse carrier documents and pre-fill applications in an AMS like Applied Epic or Vertafore. This approach can eliminate over 200 hours of manual data entry per month for a typical 15-person agency.

The final timeline and cost depend on the number of carriers you work with and the specific Agency Management System (AMS) you use. Integrating with five carriers via modern APIs into Applied Epic is a different scope than automating browser interactions for ten carriers into a legacy HawkSoft setup. The discovery process clarifies this before a build begins.

The Problem

Why Do Independent Insurance Agencies Still Process Renewals Manually?

Independent agencies run on an Agency Management System like Vertafore AMS360 or Applied Epic. These platforms are excellent systems of record for client and policy data. However, they are not workflow engines designed to interact with external carrier websites. Your team lives in two disconnected worlds: the AMS for internal data and a dozen different carrier portals for quoting, binding, and renewals.

Consider an account manager handling a commercial client's renewal. The client has three policies with three different carriers. The manager must log into each carrier portal separately, find and download the renewal declaration pages, and manually identify any changes in coverage or premium. Then, they key this information from the PDFs into the AMS to update the client record and generate a proposal. This process takes 45 minutes per client and is riddled with opportunities for costly data entry errors.

The structural problem is that AMS platforms are designed as databases, not as integrators. Their APIs, when available, are built for data synchronization, not for orchestrating the multi-step, multi-system process of gathering, comparing, and actioning renewal data. Carrier portals are walled gardens built to keep you on their platform. This technology gap forces your highly trained staff into hours of low-value copy-paste work that cannot be solved with off-the-shelf tools.

Our Approach

How Syntora Would Build an AI Renewal System for Insurance Agencies

The project would begin with an audit of your agency's renewal process for your top 5 carriers. Syntora maps every step, from the initial renewal notification to binding the new policy. This discovery phase produces a detailed workflow diagram and a technical specification for the automation which you approve before any code is written.

The core system would be a FastAPI service deployed on AWS Lambda for efficient, event-driven processing. When a renewal document arrives in a designated inbox, the service uses the Claude API to parse the PDF, extracting key fields like policy numbers, effective dates, and coverage limits with over 99% accuracy. Python scripts then normalize this data and use your AMS's specific API to pre-fill the renewal application, attaching the original document for reference. Supabase would be used for logging and providing a dashboard to track the status of each automated renewal.

The final system is a managed service that requires no direct interaction from your team. Your staff receives a notification in Microsoft Teams when a renewal is parsed and ready for review in your AMS. You get the full source code, a runbook for maintenance, and a system that can process 750 policies per month for a typical cloud hosting cost under $50.

Manual Renewal and Endorsement ProcessingSyntora's Automated AI Approach
15-25 minutes of manual work per policyUnder 60 seconds of automated processing time
Data entry errors in 3-5% of policiesError rates under 0.1% via automated parsing
Team spends 200+ hours monthly on data entryTeam reallocated to client advising and sales

Why It Matters

Key Benefits

01

Direct Engineer Access

The founder who scopes your project is the same engineer who writes every line of code. No project managers, no communication gaps, no offshore teams.

02

You Own the Source Code

You receive the complete Python codebase in your private GitHub repository. There is no vendor lock-in, and your asset is fully documented for any future development.

03

A Realistic 6 to 9 Week Timeline

A focused build means you see a working system fast. The timeline is fixed based on a clear scope, delivering value within one business quarter.

04

Transparent Post-Launch Support

After deployment, Syntora offers a flat-rate monthly retainer for monitoring, updates, and support. You have a direct line to the engineer who built your system.

05

Deep Insurance Workflow Understanding

Syntora understands the friction between carrier portals and AMS platforms like HawkSoft. The solution is designed to bridge that specific gap, not as a generic automation tool.

How We Deliver

The Process

01

Discovery and Workflow Mapping

A 60-minute call to walk through your current renewal and endorsement process. Syntora then delivers a scope document detailing the proposed automation, timeline, and fixed project fee for your approval.

02

Architecture and Integration Plan

Once approved, Syntora provides a technical architecture diagram showing how the system connects to your email, carrier portals, and AMS. You approve the integration points before any build work begins.

03

Iterative Build and Demos

You get access to a staging environment and receive weekly video updates showing progress. This allows your team to provide feedback throughout the build, ensuring the final system fits your exact workflow.

04

Deployment and Full Handoff

The system goes live on your cloud infrastructure. You receive the full source code, a detailed runbook for operations, and hands-on training for your team. Syntora provides 4 weeks of included post-launch monitoring.

The Syntora Advantage

Not all AI partners are built the same.

AI Audit First

Other Agencies

Assessment phase is often skipped or abbreviated

Syntora

Syntora

We assess your business before we build anything

Private AI

Other Agencies

Typically built on shared, third-party platforms

Syntora

Syntora

Fully private systems. Your data never leaves your environment

Your Tools

Other Agencies

May require new software purchases or migrations

Syntora

Syntora

Zero disruption to your existing tools and workflows

Team Training

Other Agencies

Training and ongoing support are usually extra

Syntora

Syntora

Full training included. Your team hits the ground running from day one

Ownership

Other Agencies

Code and data often stay on the vendor's platform

Syntora

Syntora

You own everything we build. The systems, the data, all of it. No lock-in

Get Started

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FAQ

Everything You're Thinking. Answered.

01

What determines the project's cost?

02

What can impact the 6 to 9 week timeline?

03

What happens if the system needs updates after launch?

04

Our agency uses HawkSoft. Can you integrate with it?

05

Why not hire a larger IT consulting firm?

06

What information do we need to provide to get started?