What challenges did Upsure face before AI implementation?

Scale AI initiatives for insurers while meeting strict regulatory requirements and uptime needs. Automate manual underwriting workflows and improve lead scoring. Support claims automation and document creation while improving compliance operations.

What was the impact of the AI solution?

The platform supports more than 1 million daily website visits across over 2,000 locations. Upsure meets customer contract terms requiring 99.9% availability. The AI-enabled platform helps insurers run anti-money-laundering checks through the underwriting process and reduce manual work.

Source

GCPExploringEvidence: Medium65/100

Upsure case study | Google Cloud

Use case typeDocument automationUpdated Jun 13, 2026

Upsure is an insurtech company headquartered in India that helps insurers reduce operating costs and improve sales, productivity, and revenue. To meet strict regulatory requirements, scale cost-effectively, and support its AI roadmap, Upsure moved to a full cloud environment on Google Cloud. The company is exploring Vertex AI and Gemini to help insurers automate anti-money-laundering checks, KYC scoring, lead scoring, claims automation, and document creation.

Organization: Upsure
Industry: Insurance
Location: India
Published: June 2026

Reported outcomes

1,000,000 visits/day

daily website visitsOther quantified impact

99.9%availability

Strategic outcomes

Risk & complianceAutomated anti-money-laundering compliance checksScale & capacitySupports high-volume daily website trafficRisk & complianceImproved KYC scoring for complianceCustomer experience & trustMet strict uptime contract requirements

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Daily website visits: 1,000,000 visits/day

Google Cloud Customer StoryJun 6, 2026Customer storyExplicit claimMedium evidence strength

Scales to support customers with 1 million website visits per day

Normalized claim

Availability: 99.9%

Google Cloud Customer StoryJun 6, 2026Customer storyExplicit claimMedium evidence strength

Meets customer contract terms that stipulate 99.9% availability

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Upsure
Provider: GCP
Maturity: Exploring
Linked source: Google Cloud Customer Story

The company is exploring Vertex AI and Gemini to help insurers automate anti-money-laundering checks, KYC scoring, lead scoring, claims automation, and document creation

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 6

1AI-enabled underwriting
2KYC automation
3AML compliance

Scale AI initiatives for insurers while meeting strict regulatory requirements and uptime needs.
Automate manual underwriting workflows and improve lead scoring.
Support claims automation and document creation while improving compliance operations.

Upsure runs on Google Kubernetes Engine and uses Google Cloud security features to support its platform.
The company centralizes customer information to enable efficient KYC scoring for anti-money-laundering compliance.
Upsure is exploring Vertex AI and Gemini to optimize lead scoring, claims automation, and document creation.

Technologies

Google Kubernetes Engine Vertex AI Gemini Google Cloud security features

The platform supports more than 1 million daily website visits across over 2,000 locations.
Upsure meets customer contract terms requiring 99.9% availability.
The AI-enabled platform helps insurers run anti-money-laundering checks through the underwriting process and reduce manual work.

Architecture

Upsure built its insurance platform on Google Kubernetes Engine, centralizes customer data for KYC scoring, and is exploring Vertex AI and Gemini for AI-driven underwriting, lead scoring, claims automation, and document creation.

Sources & evidence1

Evidence: Medium65/100Evidence strength