GCPEvidence: Low40/100

FletcherTech (Fletcher Building) deploys Gemini Enterprise to save 2,500+ hours and automate QA coaching

Use case typeCompliance automationUpdated Jun 13, 2026

FletcherTech, Fletcher Building’s technology division for its 30+ businesses, implemented Gemini Enterprise to make the company’s collective knowledge easier to access and to weave AI into daily work. The deployment used Gemini Enterprise with data connectors and Google Cloud console configuration, and integrated with Jira, ServiceNow, and SharePoint to support contextual answers, workflow automation, and data governance checks. Employees also used the platform to build custom agents for QA testing automation and developer coaching, and to audit data sources for sensitive items such as keys, salary, and personal data.

Organization
FletcherTech
Industry
Professional Services
Location
New Zealand
Published
May 2026

Reported outcomes

Strategic outcomes

New product / capabilityDeployed internal AI enterprise assistantInnovation & cultureBuilt QA automation and coaching agentsRisk & complianceDetected hidden sensitive-data risks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
FletcherTech, Fletcher Building
Provider
GCP
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 5

  • 1Enterprise productivity
  • 2Knowledge management
  • 3Workflow automation
  • Roll out an AI platform to a diverse internal user base
  • Integrate AI with core data sources and daily systems
  • Deliver productivity gains across daily workflows
  • Detect sensitive data exposure and improve governance
  • Implemented Gemini Enterprise as an internal AI-powered enterprise assistant
  • Configured the platform through the Google Cloud console and data connectors
  • Integrated Gemini Enterprise with Jira, ServiceNow, and SharePoint
  • Built custom agents for QA testing automation and developer coaching
  • Used the platform to answer questions, resolve IT issues, and audit data sources for sensitive items
Technologies
Gemini EnterpriseVertex AIVertex AI Agent BuilderJiraServiceNowSharePoint
  • 31,778 answers delivered to 222 employees in a three-month trial
  • More than 2,500 work hours saved
  • Improved contextual answers and increased AI usage in daily workflows
  • Discovered hidden sensitive-data risks in source systems and corrected them
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Technical implementation details available
Type: Customer StoryPublished: May 29, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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