What challenges did AXA Switzerland face before AI implementation?

Legacy siloed systems made cross-functional queries slow, with some complex queries taking an entire weekend. Human specialists needed about 25 minutes to read and extract key information from complex medical documents. The insurer needed better automated claims triage, stronger fraud detection, and a more responsive customer experience. AXA Switzerland needed to adopt AI in a regulated environment with responsible governance.

What was the impact of the AI solution?

Query and processing times were reduced by more than 95%, from days to minutes or seconds. AI reduced medical document reading from about 25 minutes to seconds. A fraud-detection ruleset uncovered a 120,000 CHF false claim in its first week after deployment. The Smart Data projects were described as among the most profitable initiatives in AXA Switzerland's history.

Source

GCPExpanded

AXA Switzerland: Generative AI and data modernization for claims and fraud detection on Google Cloud

Use case typeFraud detectionUpdated Jun 13, 2026

AXA Switzerland, the country's leading insurer, modernized its data and AI stack on Google Cloud to support faster decision-making, claims triage, fraud detection, and more personalized service. The company unified information from CRM, ERP, ecommerce, and operational systems so teams could work from a common data foundation. AXA Switzerland also explored generative AI responsibly to extract key details from complex medical documents and to support natural-language interactions.

Organization: AXA Switzerland
Industry: Insurance
Location: Switzerland
Published: January 2024

Reported outcomes

−95%

timeTime & speed

25 minutestime

Strategic outcomes

Better decisions & insightCentralized enterprise data foundationNew product / capabilityAutomated claims triage and fraud detectionCustomer experience & trustEnabled natural-language customer interactionsRisk & complianceImproved fraud detection in regulated environment

Catalog median for time & speed deployments: −60% across 727 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 6

1Claims processing
2Fraud detection
3Document extraction

Legacy siloed systems made cross-functional queries slow, with some complex queries taking an entire weekend.
Human specialists needed about 25 minutes to read and extract key information from complex medical documents.
The insurer needed better automated claims triage, stronger fraud detection, and a more responsive customer experience.
AXA Switzerland needed to adopt AI in a regulated environment with responsible governance.

AXA Switzerland migrated data to Google BigQuery to centralize enterprise information and speed up analytics.
The company used Vertex AI and Gemini to extract key information from medical documents in seconds with high accuracy.
It implemented automated triage to route claims that require expert evaluation and expanded fraud-detection rulesets.
Dialogflow was included to support natural-language customer interactions, alongside Cloud Run for deployment.

Technologies

BigQuery Vertex AI Gemini Cloud Run Dialogflow

Query and processing times were reduced by more than 95%, from days to minutes or seconds.
AI reduced medical document reading from about 25 minutes to seconds.
A fraud-detection ruleset uncovered a 120,000 CHF false claim in its first week after deployment.
The Smart Data projects were described as among the most profitable initiatives in AXA Switzerland's history.

Architecture

AXA Switzerland centralized enterprise data in BigQuery, then applied Vertex AI and Gemini for document extraction and intelligent workflows. The article also references Dialogflow for natural-language interactions and Cloud Run for deployment within a responsible AI framework.

Sources & evidence1

ExpandedExpanded

The same organization appears in newer AI deployment evidence.