What challenges did HiPay face before AI implementation?

HiPay needed to manage an increasing volume of data and transactions with a reliable, scalable infrastructure while focusing on core payment services. Manual infrastructure management and internal processes created technical debt and slowed developer innovation.

What was the impact of the AI solution?

HiPay achieved scalable infrastructure adapted to growth ambitions and increased productivity and innovation. The company reduced developer time spent on maintenance from 40% to 5%. AI-driven process optimization enhanced security, compliance, and customer experience. Technical debt was reduced, with a better developer experience attracting talent.

Source

GCP

HiPay Enhances Payment Services with Google Cloud AI and BigQuery

Use case typeFraud detectionUpdated Jun 13, 2026

HiPay, a French payment service provider offering over 50 payment solutions, faced challenges managing growing transaction volumes and optimizing internal processes. By outsourcing infrastructure management to Google Cloud with a hybrid cloud strategy, HiPay improved resilience, scalability, and developer productivity. HiPay leveraged Google Cloud's BigQuery, Vertex AI, PaLM 2, Cloud Vision, and Document AI to develop AI-driven anti-fraud and risk-scoring models and automate internal processes, reducing manual errors and technical debt.

Organization: HiPay
Industry: Finance
Location: France

Reported outcomes

−40%

timeTime & speed

−5%time

Strategic outcomes

Scale & capacityBuilt scalable, resilient cloud infrastructureNew product / capabilityDeveloped AI-driven fraud and risk modelsCustomer experience & trustEnhanced customer experience through AIEmployee experienceImproved developer productivity and experience

Catalog median for time & speed deployments: −55% across 674 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 2 of 2

1Risk Detection and Fraud Prevention
2Process Optimization

HiPay needed to manage an increasing volume of data and transactions with a reliable, scalable infrastructure while focusing on core payment services.
Manual infrastructure management and internal processes created technical debt and slowed developer innovation.

HiPay outsourced infrastructure management to Google Cloud, gaining elastic, secure, and compliant cloud infrastructure.
They used Google Cloud's managed AI and data analytics services including BigQuery, Vertex AI, PaLM 2, Cloud Vision, and Document AI to develop machine learning risk models and optimize internal workflows.
These AI solutions helped automate fraud detection, document processing, and other low-value tasks.

Technologies

BigQuery Vertex AI PaLM 2 Cloud Vision Document AI Google Cloud Armor

HiPay achieved scalable infrastructure adapted to growth ambitions and increased productivity and innovation.
The company reduced developer time spent on maintenance from 40% to 5%.
AI-driven process optimization enhanced security, compliance, and customer experience.
Technical debt was reduced, with a better developer experience attracting talent.

Sources & evidence1

Groundedness: 5/5

Primary source

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