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
Staff lost hours walking clients through 30-question surveys. Now, 50 custom AI agents process home insurance subscriptions 24/7.
Adjusters spent up to two hours manually reviewing hundreds of claims notes. Now, secure AI summarizes complex case files in minutes.
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%.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
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
Staff lost hours walking clients through 30-question surveys. Now, 50 custom AI agents process home insurance subscriptions 24/7.
Adjusters spent up to two hours manually reviewing hundreds of claims notes. Now, secure AI summarizes complex case files in minutes.
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%.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Bond selection took days of manual review. Custom AI agents now surface risks, empowering analysts to execute trades in hours.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.