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AI automation for insurance brokers

Your agency is missing 30% of calls. AI fixes that in weeks.

Insurance brokers across the US are deploying AI to handle calls, sync AMS data, and process documents - with verified ROI in 30 days. Here's the proof.

ROI in 30 days

58+

Hours saved / month

244%

Verified ROI

100%

Call answer rate

Verified case studies

What's already working in insurance

Real brokerages, real numbers, real sources. No hypotheticals.

O'Connor Insurance Associates

P&C broker - USA

Problem

Missing over 30% of inbound calls. Every missed call is a missed policy. No scalable way to handle volume without adding headcount.

Solution

AI voice receptionist (Sonant AI) handling inbound calls with real-time AMS data sync. Understands P&C terminology out of the box.

  • 8× ROI

    within 30 days of deployment

  • 58+ hrs

    saved per month

  • 100%

    call answer rate achieved

Source:Sonant AI verified case study - cited in "100+ AI Tools for Insurance Agencies: 2026 Guide"

BIG Pickering Insurance

Insurance broker

Problem

Catastrophic 12% inbound call answer rate. Nearly 9 out of 10 potential clients hitting voicemail and never calling back.

Solution

AI voice agent deployed to handle all inbound calls, qualify leads, and route to the right agent with context.

  • 600%

    ROI in the first month

  • 12% → 100%

    call answer rate transformation

Source:Sonant AI verified case study

Best Practices Agency (Reagan Consulting Study)

$100M+ brokerage - USA

Problem

Producers and account teams spending hours on loss run analysis, coverage comparisons, and Statement of Value reviews - all manual, all slow.

Solution

AI platform deployed across 4 functions: loss run analysis, coverage analysis, SOV comparison, and an "Ask Anything" agent for instant answers.

  • 7.5 hrs

    saved per staff per week

  • 244%

    return on investment

  • $168K

    larger book size for tech-enabled producers under 35

Source:Risk & Insurance - "Leading Insurance Brokerages Embrace AI Revolution" (Aug 2025), citing the 2025 Best Practices Study

Aviva (UK)

Major insurer - claims

Problem

Complex motor claims taking weeks. High error rates in routing claims to the right teams. Customer complaints piling up.

Solution

Rolled out 80+ AI models across the entire claims domain - liability assessment, routing, and complaint reduction.

  • £60M+

    saved in 2024 ($82M USD)

  • −23 days

    cut from liability assessment time

  • +30%

    improvement in claims routing accuracy

  • −65%

    reduction in customer complaints

Source:McKinsey & Company - "The future of AI for the insurance industry" (Jul 2025), citing Aviva investor reports

NIB Health Insurance (Australia)

Health insurer

Problem

High volume of routine customer inquiries consuming agent time. Licensed staff tied up answering repetitive questions instead of advising.

Solution

AI digital assistant "Nibby" deployed to handle routine inquiries autonomously, with handoff to humans for complex cases.

  • $22M

    total savings

  • −60%

    reduction in human support need

  • −15%

    decrease in phone calls to agents

Source:FactR / DataPeak - referenced as industry comparison in AI cost savings analysis

Industry benchmarks - insurance AI adoption

84%

of brokerages over $100M revenue have invested in GenAI

2025 Best Practices Study via Risk & Insurance

30-50%

processing cost reduction from AI-automated workflows

Databricks / industry benchmarks

70%

of insurer expenses are in claims processing alone

Deloitte research

Days → Seconds

claims processing time with AI triaging

Databricks insurance industry analysis

Next step

Your legacy AMS doesn't have an API? That's our specialty.

We build AI automations that work with the systems you already have - Applied Epic, EZLynx, whatever it is - using browser automation when APIs don't exist. No rip-and-replace.

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