GCPExploringEvidence: Medium55/100

Artificial Labs AI claims automation using Gemini Enterprise Agent Platform (Conscium & OQC case study)

Use case typeClaims automationUpdated Jun 13, 2026

Artificial Labs used Google Cloud to build insurance claims automation that recognizes patterns in complex insurance documentation and moves risks toward quote readiness with humans in control. Conscium, Artificial Labs, and Oxford Quantum Circuits also used Google Cloud to manage thousands of LLM requests efficiently and support adjacent AI evaluation and quantum workloads. The implementation centers on Gemini Enterprise Agent Platform, Gemini for Google Cloud, and BigQuery as the data and analytics foundation.

Organization
Artificial Labs
Industry
Insurance
Published
June 2026

Reported outcomes

Strategic outcomes

New product / capabilityBuilt insurance claims automation platformScale & capacityEnabled scalable LLM request processingSpeed & agilityImproved AI evaluation pipeline reliability
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Artificial Labs, Conscium, Oxford Quantum Circuits
Provider
GCP
Maturity
Exploring

Conscium, Artificial Labs, and Oxford Quantum Circuits also used Google Cloud to manage thousands of LLM requests efficiently and support adjacent AI evaluation and quantum workloads

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Claims automation
  • 2Agentic workflow
  • 3Insurance operations
  • Automate high-volume insurance claims processing
  • Digitize complex claim documentation and simplify risk selection
  • Accelerate payments while reducing errors
  • Handle scalable LLM request workloads
  • Built insurance claims automation on Gemini Enterprise Agent Platform
  • Used Gemini for Google Cloud for AI capabilities
  • Used BigQuery for analytics support and data foundation
  • Migrated core workloads to Google Cloud to support the automation
  • Automated most claims without human intervention
  • Reduced errors
  • Accelerated payment timelines
  • Improved the speed and reliability of the AI evaluation pipeline
  • Supported scalable processing of thousands of LLM requests
Architecture

Artificial Labs built an insurance claims automation system on Gemini Enterprise Agent Platform and Gemini for Google Cloud, with BigQuery supporting analytics and migrated workloads on Google Cloud. The article also references Conscium's BigQuery-based analytics and OQC's Google Cloud-based quantum/LLM workflows in the same multi-customer story.

Sources & evidence1
Evidence: Medium55/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Technical implementation details available
Type: Customer StoryPublished: Jun 3, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

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

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