GCPProductionEvidence: Medium65/100

AES deploys genAI agents on Gemini Enterprise Agent Platform to automate safety and compliance audits

Use case typeAudit automationUpdated May 14, 2026

AES deployed gen AI agents to significantly increase the accuracy and speed of health and safety audits. The system processes multilingual audit documents, builds knowledge bases, and coordinates agent tasks with human review in the loop.

Organization
AES
Published
May 2026

Reported outcomes

−99%

audit cost reductionCost savings

Strategic outcomes

Risk & complianceImproved audit accuracyCost efficiencyAccelerated multilingual audit processing
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Audit cost reduction: 99% decrease

Google Cloud Customer StoryMay 14, 2026Customer storyExplicit claimMedium evidence strength

After conducting more than 50 agent audits, AES saw audit costs reduced by 99%

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
AES
Provider
GCP
Maturity
Production

AES deployed gen AI agents to significantly increase the accuracy and speed of health and safety audits

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

  • 1Audit automation
  • 2Document review
  • Increase accuracy and dramatically speed up health and safety audit document reviews.
  • Reduce auditor effort while ensuring reliable, instruction-following agent behavior.
  • Built gen AI agents on Gemini Enterprise Agent Platform using Anthropic Claude models.
  • Used API calls within the Agent Platform environment to synchronize agents for complex safety audit tasks.
  • Built knowledge bases, fine-tuned AI agents, and retained human-in-the-loop review.
  • Reduced audit costs by 99%.
  • Delivered results 99.7% faster, from 14 days to 1 hour.
  • Improved audit accuracy by 10-20% after more than 50 agent audits.
Architecture

AES built gen AI agents on Gemini Enterprise Agent Platform with Anthropic Claude models. The agents process multilingual audit documents, coordinate complex audit tasks, rely on knowledge bases, and keep a human in the loop for review.

Sources & evidence1
Evidence: Medium65/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
Type: Customer StoryPublished: May 14, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

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

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