What challenges did Upsure face before AI implementation?

Upsure needed to improve anti-money-laundering compliance during underwriting. The company wanted to automate manual tasks, reduce costs, and improve customer experience with AI.

What was the impact of the AI solution?

The platform reports 99.9% uptime. It supports more than 1 million daily users across more than 2,000 locations. Automation reduced manual effort and costs, while improving lead scoring effectiveness.

Source

GCPEvidence: Medium50/100

Upsure improves AML compliance and lead scoring with Vertex AI and Gemini

Use case typeCompliance automationUpdated May 23, 2026

Upsure built a Google Cloud-based AI platform to support underwriting and compliance workflows for insurers. The platform centralizes customer information, automates anti-money-laundering checks, and improves lead scoring and document workflows using Vertex AI and Gemini.

Organization: Upsure
Industry: Insurance
Location: Netherlands
Published: May 2026

Reported outcomes

1,000,000 users

daily usersAdoption & scale

99.9%platform uptime2,000 locationslocations supported

Strategic outcomes

Risk & complianceImproved AML compliance in underwritingCost efficiencyReduced manual effort and costsCustomer experience & trustEnhanced customer experience

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

Normalized claim

Platform uptime: 99.9%

Google Cloud Customer StoryMay 23, 2026Customer storyExplicit claimMedium evidence strength

ensures 99.9% uptime

Normalized claim

Daily users: 1,000,000 users

Google Cloud Customer StoryMay 23, 2026Customer storyExplicit claimMedium evidence strength

supporting 1 million+ daily users across 2,000+ locations

Normalized claim

Locations supported: 2,000 locations

Google Cloud Customer StoryMay 23, 2026Customer storyExplicit claimMedium evidence strength

across 2,000+ locations

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

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

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Compliance automation
2Risk assessment
3Document processing automation

Upsure needed to improve anti-money-laundering compliance during underwriting.
The company wanted to automate manual tasks, reduce costs, and improve customer experience with AI.

Upsure built an AI platform on Google Cloud using Google Kubernetes Engine, Vertex AI, and Gemini.
The platform centralizes customer information for Know Your Customer and AML scoring, runs anti-money-laundering checks in the underwriting process, and supports lead scoring, claims automation, and document creation.

Technologies

Vertex AI Gemini Google Kubernetes Engine

The platform reports 99.9% uptime.
It supports more than 1 million daily users across more than 2,000 locations.
Automation reduced manual effort and costs, while improving lead scoring effectiveness.

Architecture

Upsure built an AI platform on Google Cloud that uses Google Kubernetes Engine, Vertex AI, and Gemini to centralize customer information and automate compliance-related underwriting tasks. The platform runs AML checks during underwriting and supports lead scoring, claims automation, and document creation.

Sources & evidence1

Evidence: Medium50/100Evidence strength