Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
One of the largest insurance and financial services companies in the United States, with approximately 65,000 employees across auto, home, life, health, and other insurance lines.
The company had an active builder community and broad interest in AI, but struggled to turn isolated experiments into governed, production-ready...
“We are energized by Power Platform adoption at State Farm and look forward to exploring new AI capabilities that can empower our employees and deliver greater value for our customers.”
Property, casualty, auto, and life insurance provider.
Enterprise software, cloud infrastructure, and consumer electronics platform.
State Farm's Employee self-service is part of this use case:
Related implementations across industries and use cases
Adjusters spent up to two hours manually reviewing hundreds of claims notes. Now, secure AI summarizes complex case files in minutes.
Manual data entry bottlenecked operations. Now, custom agents extract incoming contract details and route them for human verification.
Manual fixes held back IT. Deployed in six weeks, AI now resets passwords and triages tickets, cutting L1 volume by 43%.
Scattered systems delayed risk decisions. Now, an AI assistant grounded in live search lets experts instantly compare complex policies.
Manual fixes held back IT. Deployed in six weeks, AI now resets passwords and triages tickets, cutting L1 volume by 43%.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
One of the largest insurance and financial services companies in the United States, with approximately 65,000 employees across auto, home, life, health, and other insurance lines.
The company had an active builder community and broad interest in AI, but struggled to turn isolated experiments into governed, production-ready...
“We are energized by Power Platform adoption at State Farm and look forward to exploring new AI capabilities that can empower our employees and deliver greater value for our customers.”
Property, casualty, auto, and life insurance provider.
Enterprise software, cloud infrastructure, and consumer electronics platform.
State Farm's Employee self-service is part of this use case:
Related implementations across industries and use cases
Adjusters spent up to two hours manually reviewing hundreds of claims notes. Now, secure AI summarizes complex case files in minutes.
Manual data entry bottlenecked operations. Now, custom agents extract incoming contract details and route them for human verification.
Manual fixes held back IT. Deployed in six weeks, AI now resets passwords and triages tickets, cutting L1 volume by 43%.
Scattered systems delayed risk decisions. Now, an AI assistant grounded in live search lets experts instantly compare complex policies.
Manual fixes held back IT. Deployed in six weeks, AI now resets passwords and triages tickets, cutting L1 volume by 43%.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.