Hertz builds an AI-driven roadside assistance agent with Power Platform and Copilot Studio

Hertz has begun developing low-code applications and agents with Power Platform as part of its technology modernization strategy. One early AI-driven agent supports the customer service team with roadside assistance questions by answering natural-language queries and linking to trusted sources such as vehicle manufacturer sites, a government VIN lookup site, and instructional video platforms.

Organization
Hertz
Industry
Automotive
Published
May 2026

Reported outcomes

−15%

timeTime & speed

Strategic outcomes

Speed & agilityResolved customer issues fasterCustomer experience & trustImproved roadside assistance supportCost efficiencyFreed employees for complex queriesEmployee experiencePositive employee feedback

Catalog median for time & speed deployments: −60% across 727 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

  • 1Customer Service Automation
  • 2AI Agent
  • 3Roadside Assistance
  • Customer service representatives had to search vehicle manuals on an internal SharePoint site to answer roadside assistance questions.
  • This manual search slowed customer issue resolution.
  • Hertz developed a low-code AI agent called Manny in Microsoft Copilot Studio.
  • The agent uses generative AI, limits knowledge sources to a few trusted sites, and applies specific instructions to improve accuracy.
  • The team initially experimented with browser connections, then improved performance by linking directly to vehicle manufacturer sites and a government VIN information site.
  • The solution is built with Microsoft Power Platform, including low-code app and agent development.
  • An early pilot at one location reduced the time to resolve customer issues by over 15%.
  • Employee feedback was positive.
  • Hertz expects broader rollout to generate significant time and cost savings and free employees for more complex customer queries.
Sources & evidence1
Groundedness: 5/5Type: Customer StoryPublished: May 29, 2026Publisher: MicrosoftEvidence: PrimaryConfidence: High

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