Skip to content

Published 5 Nov 2025· via abouttmc.com· Blog post

How Microsoft is Redefining App Development with AI Agents in Insurance at State Farm

State Farm · Insurance · United States

Headline result

The source does not publish a single comparable figure. Reported results are listed below.

Summary

Microsoft introduced a new era of low-code app development integrated with AI agents, generative pages, and the full integration of Copilot Studio, Power Automate, and RPA, evolving the Power Platform from a simple development tool into an intelligent ecosystem.

The problem

  1. 01Traditional app development involved manual data entry and onboarding processes that were time-consuming and inefficient.

What they built

  1. 01Microsoft integrated AI agents within the Power Platform and Copilot Studio, allowing natural language prompts for app creation.
  2. 02Specialized AI agents were designated for roles such as requirements gathering, data modeling, and code generation to collaboratively build applications.
  3. 03State Farm utilized these AI agents to develop a training and onboarding app entirely from a single prompt, later refining it with chat and point-and-click controls.

Reported results

  1. 01This approach dramatically reduced manual data entry and accelerated app development timelines.
  2. 02It improved operational accuracy and transformed AI agents into core digital workforce members capable of autonomous reasoning and decision-making at scale.
  • Built apps from a single prompt
  • Accelerated app development timelines
  • Improved operational accuracy
  • AI agents became core workforce members

Source

abouttmc.com

Blog post · 5 Nov 2025 · Published by a vendor

How this deployment compares

Computed from the library · data 10 Nov 2026

This is the only State Farm deployment in the library. It is one of 30 code assistant deployments, 2 of them in Insurance. Like 63% of records, its source gives no figure.

State Farm in the library

The only State Farm deployment in the library

Too recent to judgeFollow-through is judged once a record is 1 year old; this one is 12 months old.

Same pattern, whole library

One of 30 code assistant deployments

  • Insurance accounts for 2 of them (7%), ranking #6 of 9 industries.
  • 9 records of this pattern came before it; 16 have been published since.
  • Only 12 of the 30 put a number on the result (40%).
Provider mix
  • AWS53%
  • Microsoft30%
  • GCP17%
Most-used technology
  • Amazon Q Developer 8
  • Amazon Bedrock AgentCore 5
  • Amazon Bedrock 4
  • Amazon EKS 3
  • Vertex AI 3
  • AWS Lambda 3

Shares describe this library, not the whole market.

Results against peers

No figure here. What peers report

Like 63% of records in the library, the source gives no figure. Peers that do quantify similar claims report:

  • Time & speed29 figures, Insurance · middle half 30%–80%40%median reduction
  • Quality & accuracy50 figures, all industries · middle half 22%–96%40%median increase
  • Adoption & scale8 figures, all industries · middle half 134%–1100%250%median increase

Peer figures are as reported by their sources; percentage claims only.

How we checked this record

Evidence tier: collected

Source-linked, but not yet corroborated by a primary source.

Named organization
State Farm
Who published the source
The technology vendor
Deployment status
Scaled Production (confidence 95%)
Quantified result
The source reports no figure
Summary checked against source
4 / 5 agreement

Last re-checked 13 Jun 2026.

Same pattern, other organizations

All code assistant deployments
  1. 8 Jun 2026
    Finance

    KOHO — Kortex AI for secure generative AI across fintech workflows

    KOHO · Code assistant · AWS

    KOHO, a Canadian fintech, built Kortex AI to embed generative AI across internal workflows while maintaining strict data privacy and governance. The solution gives employees and developers secure access to large language models for research, coding assistance, meeting preparation, regulatory compliance, and operational analysis. KOHO uses the platform to improve productivity, accelerate suspicious transaction report processing, and speed up security operations.

    Production

    3×
    Suspicious transaction report processing speedup
  2. 3 Jun 2026
    Tech & Comms

    Tabnine uses Google Cloud to power AI-assisted code guidance for developers

    Tabnine · Code assistant · GCP

    Tabnine uses Google Cloud to power its AI solution that provides code guidance to accelerate and improve developers’ daily workflows. The company’s goal is to deliver a top-to-bottom AI-assisted development workflow for code creators across languages, from concept through completion. Tabnine developed machine learning models for code suggestions and autocomplete, and it runs the service for more than 1 million users in near real time.

  3. 27 May 2026
    Insurance

    bolttech – Amazon Q Developer to improve productivity in insurtech distribution

    bolttech · Code assistant · AWS

    bolttech is a global insurtech operating across 35+ markets in Asia, Europe, North America, and Africa. The company distributes tailored insurance and protection products through a B2B2C model and uses AWS to support rapid product onboarding at scale. As bolttech grew, its developer and engineering teams faced productivity challenges while trying to onboard new products quickly. bolttech provided developer teams access to Amazon Q Developer to accelerate development and improve engineering productivity. The goal was to deliver products faster and keep supporting tailored insurance/protection distribution at scale.

    Scaled Production

  4. 27 May 2026
    Automotive

    GWM Modernizes Security Compliance Development with Amazon Q Developer on AWS China (Ningxia)

    GWM · Code assistant · AWS

    GWM modernized its security compliance system for multi-cloud governance across 14 global cloud environments by migrating the system to AWS China (Ningxia). The security team used Amazon Q Developer to refactor the development workflow, generate code in multiple languages, and support a security left-shift approach for earlier issue detection. The new architecture includes scanner data collection, analyzer risk detection, and tenant-isolated reporting, supported by Amazon Kinesis, Amazon Aurora MySQL, Amazon OpenSearch Service, Amazon EKS, and AWS Graviton4.

    +100%
    quantified impact