MicrosoftScaled productionEvidence: Low40/100

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

Use case typeCode assistantUpdated Jun 13, 2026

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.

Organization: State Farm
Industry: Insurance
Location: United States
Published: November 2025

Reported outcomes

Strategic outcomes

New product / capabilityBuilt apps from a single promptSpeed & agilityAccelerated app development timelinesBetter decisions & insightImproved operational accuracyScale & capacityAI agents became core workforce members

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: State Farm
Provider: Microsoft
Maturity: Scaled Production
Linked source: abouttmc.com

It improved operational accuracy and transformed AI agents into core digital workforce members capable of autonomous reasoning and decision-making at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1AI-enabled automation
2Low-code development
3AI agents

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

Microsoft integrated AI agents within the Power Platform and Copilot Studio, allowing natural language prompts for app creation.
Specialized AI agents were designated for roles such as requirements gathering, data modeling, and code generation to collaboratively build applications.
State 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.

Technologies

Microsoft Power Platform Copilot Studio AI Agents Power Automate RPA

This approach dramatically reduced manual data entry and accelerated app development timelines.
It improved operational accuracy and transformed AI agents into core digital workforce members capable of autonomous reasoning and decision-making at scale.

Architecture

The solution incorporates multiple specialized AI agents (Requirements, Data, Solution, Code agents) collaborating with users in an integrated environment combining Copilot Studio, Power Automate, and RPA, enabling natural language driven low-code app creation and automation workflows.

Sources & evidence1

Evidence: Low40/100Evidence strength