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AI Insurance Agent Development for Agencies Buried in Quote Intake and Service Calls

Your producers spend hours collecting quote details and answering ID card requests. An AI insurance agent does that intake and service work, and licensed staff close.

How your project runs

01 · Free
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  1. 01Free Intake Review
  2. 02Questions and Disclosures
  3. 03AMS and Channel Setup
  4. 04CSR Test Week
  5. 05Go Live and Refine

Teams we have built for:

  • Amazon Web Services
  • HubSpot
  • Linode
  • Microsoft Azure
  • Moodle
  • Magento
  • Oracle
  • Salesforce
  • SAP
  • Squarespace
  • Weebly
  • WP Engine
  • Google Cloud
  • DigitalOcean

The Problem

Producers Spend Their Day Collecting Details Instead of Selling

It shows up at renewal season and after storms, when quote requests, ID card questions, and claim calls all land on the same few people.

  1. Thin forms

    Web forms collect a name, then producers chase the rest.

    Thin forms

    The agent asks each line's rating questions before handing the file over.

  2. Service load

    CSRs answer ID card and certificate requests all morning.

    Service load

    Routine service requests get answered from your AMS or routed to the right CSR.

  3. After hours

    Night and weekend quote requests wait until Monday.

    After hours

    Prospects get a reply and a booked call time at any hour.

  4. Claim calls

    Storm claim calls bury the front desk in a day.

    Claim calls

    The agent takes first notice details and routes each claim to the carrier.

A homeowner fills in your quote form at 9 at night. The form asked only for a name and phone number, so on Tuesday your producer calls back for the roof age, prior carrier, and claims history. Voicemail. Meanwhile 3 clients have emailed for auto ID cards, a lender wants a certificate, and a storm brought 6 new claim calls. Your CSRs answer each by hand. The quote that could have closed that night goes to a carrier site that asked the right questions.

We start with your lines of business, your rating questions, and the service requests your CSRs handle most. The agent collects complete quote details by chat, text, or phone and hands a ready file to a licensed producer. It answers service requests from your AMS where the vendor allows and routes claims to the carrier's claim line. Producers spend their time quoting and advising, not chasing roof ages.

  • Complete quote files

    Drivers, vehicles, property details, and prior coverage collected before a producer opens the file.

  • Licensed staff decide

    Quotes, coverage advice, and binding stay with your licensed producers, as state law requires.

  • Service requests handled

    ID cards, certificates, and billing questions answered or routed without waiting on a CSR.

Our AI Insurance Agent Development Process

From Intake Questions to a Working Agency Agent in Five Steps

Your agency principal approves the intake questions, hand-off rules, disclosures, and consent wording, and your CSRs test the agent before any client hears it.

  1. We review a month of quote requests, service emails, and calls with your agency principal and lead CSR. You get a written scope: the lines and requests the agent handles, what goes to licensed staff, and where it logs.

What's Included

What You Get With AI Agents for Insurance Teams

Each build covers quote intake by line, policy service answers, renewal follow-up drafts, claim intake, consent records, and a weekly report for your agency principal.

  • Quote intake by line

    Auto, home, commercial, and life questions asked in order, with answers saved as a ready quote file.

  • Policy service answers

    ID cards, certificates, billing dates, and change requests answered from your AMS or routed to a CSR.

  • Renewal and X-date follow-up

    Follow-up messages drafted from renewal and X-dates for a producer to approve before anything sends.

  • First notice of loss intake

    Claim details, photos, and contact times collected, then sent to the carrier's claim line and your team.

  • Consent and disclosure records

    AI disclosure, TCPA consent, and call recording notices captured and stored with each conversation.

  • Testing, launch, and reports

    A CSR test week, launch, a weekly report on requests and hand-offs, and 30 days of tuning.

Compare Options

DeveloperLook vs AMS Add-On vs Answering Service

AMS add-ons switch on quickly, and an answering service puts a person on every call. Here is where each fits and where custom conversational AI for insurance helps.

DeveloperLook
AMS add-on
Quote intake depth
DeveloperLook: Every rating question per lineAMS add-on: Basic contact capture
Service requests
DeveloperLook: Answered from AMS dataAMS add-on: Inside the AMS only
Hours covered
DeveloperLook: Any hour, chat and phoneAMS add-on: Business hours tools
Coverage advice
DeveloperLook: Handed to your producersAMS add-on: Handed to your producers
Fits your process
DeveloperLook: Built around your linesAMS add-on: Vendor's standard flows
Time to launch
DeveloperLook: 4 to 6 weeksAMS add-on: Same week
Content ownership
DeveloperLook: Question sets you ownAMS add-on: Stays with the vendor
Cost model
DeveloperLook: Fixed project priceAMS add-on: Monthly add-on fee

Projects We've Built

Insurance websites, an insurance app, and finance products we designed and built. They show our policy and finance data work, not AI agents, which we scope per agency.

What Our Clients Say

What Clients Say After Launch

Feedback from teams we have built websites, apps, and platforms for.

We had a pretty specific idea of what we wanted our website to become, but I wasn’t sure how easily we could explain all of it to a development team. There were quite a few moving parts, and we were working toward a deadline, so I expected a few things to get lost along the way. That never really happened. They understood what we were trying to achieve, kept us updated throughout the process, and got everything ready within the agreed timeline. The final site feels much easier to navigate, works beautifully on mobile, and is noticeably smoother for our customers. It was a huge relief seeing the original idea actually turn into the website we had in mind.

Michael BennettFounder & CEO of Northbridge Consulting01 / 03
  • 1,250+

    Projects shipped

  • 10+

    Years of experience

  • Top 3%

    Upwork Top Rated Plus

  • 5 stars

    Average review score

  • 1,250+

    Projects shipped

  • 10+

    Years of experience

  • Top 3%

    Upwork Top Rated Plus

  • 5 stars

    Average review score

Want results like these?

Tell us what you are building. You get a reply within 24 hours on business days, then a written estimate.

Work Culture

Why Agencies Trust Us With Client Conversations

We build an insurance agent like a careful new CSR: it asks the right questions, writes everything down, and doesn't act like a licensed producer.

  • Licensing rules respected

    Selling, quoting, and advising on coverage need a licensed producer in every US state. The agent gathers facts and books calls, and your licensed staff do the rest.

  • Disclosures on every call

    The agent says it's automated and gives the recording notice your states require. Some states need every party's consent to record, so notices are set by state.

  • Consent before outreach

    Renewal texts and AI calls go only to people who gave consent. The FCC counts AI-generated voices as artificial voices under the TCPA, so consent comes first.

  • AMS access done right

    We connect to your AMS only through the vendor's API or partner program. Without access, the agent hands off a clean summary instead of scraping screens.

  • Question sets you own

    The intake questions, prompts, and code belong to your agency at handover. Moving to another model provider later won't mean redoing the work.

  • Carrier-ready documentation

    Carriers in states that adopted the NAIC AI model bulletin need records of data, testing, and human review. We document each of those on carrier and MGA builds.

Overview

How does an AI insurance agent work for an independent agency?

DeveloperLook builds an AI insurance agent for independent agencies that collects quote details by line, answers policy service requests, and hands each file to a licensed producer. It logs every conversation in your agency management system or CRM where the vendor allows. Prices start at $1,000, and an intake agent goes live in 4 to 6 weeks.

DEVELOPERLOOK

Project facts · AI Insurance Agent Development

Service
AI Insurance Agent Development (quote intake, service requests, renewal follow-up)
Typical timeline
4 to 6 weeks for intake, 8 to 12 with AMS and voice
Platforms
Applied Epic, AMS360, HawkSoft, EZLynx, and HubSpot
Built with
OpenAI API, Anthropic Claude, Twilio, Python, and PostgreSQL
Experience
10+ years of development experience and 1,250+ shipped projects
Post-launch support
30 days of script and answer tuning
Communication
Calls in US, UK, and AU business hours
Starting price
From $1,000 USD, fixed scope after a free discovery call

Reviewed 28 Oct 2026 by Saimul Islam

Good fit

  • Independent P&C agencies

    Your CSRs spend mornings on ID card requests, certificate requests, and billing questions, and new quote requests wait until the afternoon.

  • Producers losing after-hours quote requests

    Your quote form fills up at night and on weekends, and you want AI for insurance agents that collects full rating details before a producer calls.

  • Life and health agencies

    You sell life and health plans and need AI agents for insurance agencies that book needs-analysis calls and remind clients about enrollment dates.

  • Carriers and MGAs testing AI

    You run claims or underwriting at a carrier or MGA and want AI for insurance companies that documents its data, testing, and human review.

  • Insurtech vendors and agency partners

    You sell software or services to agencies and want a conversational agent under your brand, with consent records and AMS logging handled.

Not a fit

  • Budget under $1,000

    Your budget is under $1,000, or you get a few quote requests a week. A better web form and your AMS's own reminders may cover it, and we'll tell you before we quote.

  • Pipeline lives in spreadsheets

    Your prospects and renewals live in spreadsheets and inboxes. Our Insurance CRM Setup for Agents and Agencies service builds the pipeline first, so quotes and renewals are tracked before AI joins in.

  • Website lacks quote pages

    Your site has one generic contact form and no quote pages by line. Our Insurance Agency Website Design service builds those pages first.

  • AI to quote or bind

    You want AI to give binding quotes, recommend coverage, or bind policies on its own. Those acts need a licensed agent under state insurance law, so they stay with your producers.

Not sure we're the right fit?

Book a free call or message us. We'll tell you honestly whether we're the right team.

Pricing

Transparent Starting Prices for AI Insurance Agent Development

These are starting points in USD. Your final price depends on your lines of business, your AMS, and the channels you want covered, and you get a fixed proposal after a free discovery call.

$1k$2k$3k$4k$5k$6k$7k$8k$1,000$3,000$6,800

For agencies that want complete quote requests collected on their website at any hour.

$1,000one-time, USD

Get a fixed quote
  • Intake questions for up to 3 lines
  • Website chat and text replies
  • Ready quote file sent to a producer
  • Consent and AI disclosure records
  • 30 days of script and answer tuning

Recommended

For agencies that want service requests and renewals handled alongside quote intake.

$3,000one-time, USD

Get a fixed quote
  • Everything in Quote Intake Agent
  • AMS or CRM connection where allowed
  • ID card, certificate, and billing answers
  • Renewal and X-date follow-up drafts
  • First notice of loss intake and routing

For larger agencies, carriers, and MGAs that need phone coverage and documented AI review.

$6,800one-time, USD

Get a fixed quote
  • Everything in Intake and Service Agent
  • AI phone answering with recording notices
  • Up to 6 lines of business
  • English and Spanish conversations
  • Testing and review records for carriers

For Agencies

White-Label AI Insurance Solutions for Agencies and Insurtechs

You keep the agency relationship. We supply the engineering behind your offer: intake question sets, AMS connections, phone and chat channels, and the consent records a carrier or compliance team will ask for. Every deliverable carries your name, not ours.

How the partnership works

White label: your client only ever sees your brand

Your clientSees only your brand
You, the agencyOwn the relationship
DeveloperLookBehind your brand
  1. Share the brief

    Send the agency's lines, AMS, and service volume, and we return a plan.

    • Client needs
    • You share the details
    • Details received
  2. We propose and staff

    You get a fixed proposal, an intake question map, and a named team.

    • Scope and plan
    • Proposal to resell
    • Your quoteYOUR LOGO
  3. Build and hand off

    We build under your brand, run the CSR test week, and deliver the documentation.

    • Done by our team
    • Your brand on it
    • Handed to your clientDone
  • Your client
  • You, the agency
  • DeveloperLook
  1. Share the brief

    Send the agency's lines, AMS, and service volume, and we return a plan.

    1. Client needs
    2. You share the details
    3. Details received
  2. We propose and staff

    You get a fixed proposal, an intake question map, and a named team.

    1. Scope and plan
    2. Proposal to resell
    3. Your quoteYOUR LOGO
  3. Build and hand off

    We build under your brand, run the CSR test week, and deliver the documentation.

    1. Done by our team
    2. Your brand on it
    3. Handed to your clientDone
  • Stay client-facing

    You run every meeting with the agency principal and staff.

  • Predictable delivery

    Fixed scope and launch dates, plus CSR test results to share.

  • Insurance workflow experience

    Engineers who know rating questions, AMS data, and producer licensing limits.

  • Flexible capacity

    Add engineers for a multi-office rollout, then scale back.

The Right Technology for Your Project

Technology Stack

We connect to the agency systems your staff already use and keep every conversation, consent, and disclosure on record.

    • OpenAI logoOpenAI API
    • Anthropic Claude logoAnthropic Claude
    • Microsoft Azure logoAzure OpenAI
    • Google Gemini logoGoogle Gemini
    • Applied Epic
    • AMS360
    • HawkSoft
    • EZLynx
    • HubSpot logoHubSpot
    • Twilio logoTwilio
    • Website chat
    • Phone line
    • Email
    • Python logoPython
    • PostgreSQL logoPostgreSQL
    • AWS logoAWS
    • Docker logoDocker
01 / 04

FAQ

Frequently Asked Questions

Straight answers on cost, timelines, licensing limits, claims, and how insurance agents use AI.

  • AI in insurance is software that reads documents, talks with customers, and finds patterns in policy and claims data. Agencies use it for intake, service, and follow-up. Carriers and MGAs use it for claims triage, fraud flags, and underwriting support, with people reviewing decisions that affect coverage.

  • Insurance agents can use AI to collect quote details, answer routine service requests, and draft renewal follow-ups. Each of those tasks takes producer time without needing a license. The agent hands a complete file to your producer, who quotes, advises, and closes the sale.

  • AI insurance agent development at DeveloperLook starts at $1,000 for a quote intake agent on your website. An intake and service agent with your AMS connected starts at $3,000, and a voice and claims program starts at $6,800. Model and phone usage is billed by those vendors, and a free call sets your fixed quote.

  • A quote intake agent takes 4 to 6 weeks from the first call to launch. Adding AMS connections and phone answering takes 8 to 12 weeks, since AMS vendors approve API or partner access on their own schedules. Your launch date is set in the proposal.

  • Start where volume is high and risk is low: intake, service questions, and document sorting. Keep coverage advice, pricing, and claim decisions with licensed or authorized people. Then measure response times and hand-off quality for a month before you expand to the next task.

  • The best fit knows your lines, connects to your AMS, and hands work to licensed staff. AMS add-ons suit agencies happy with the vendor's standard flows. Custom AI agents for insurance fit when you need your own intake questions, phone coverage, or several systems working together.

  • AI helps by following up with every lead on time and in context. The agent reminds prospects about missing details, sends quotes your producer approved, and checks back near the X-date on their current policy. Texts and calls go only to people who gave consent, and every message lands in your CRM.

  • AI will take over much of the data gathering and routine service work, not the advice and relationships. Agents who use it spend more time quoting, reviewing coverage, and helping clients through claims. Licensing rules still require a person for selling and advising, so the producer's role stays central.

  • In claims, AI handles first notice of loss intake, document and photo sorting, fraud flags, and routing to the right adjuster. Many states expect carriers to govern these tools under the NAIC model bulletin on AI. Agencies mostly use AI at intake, then hand the claim to the carrier.

  • Yes, many carriers use AI in claims, mostly to sort documents, estimate damage from photos, and flag possible fraud. Final decisions on coverage and payment usually involve a person, and regulators expect carriers to document how their AI is tested. Ask your carrier how it reviews AI-assisted claims.

Saimul IslamFounder & CEO, DeveloperLook

Still have questions?

Send a message or book a call with the team.

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