Use Case

Fraud Detection and Prevention in E-Commerce Transactions

October 12, 2023
April 9, 2026
8 min read
20
min read
Data visualization and AI network
85%Reduction in manual data entry time
60–80%
reduction in fraud losses
3.2xIncrease in underwriting throughput
70%+
decrease in false positives
100%Sovereign data compliance maintained
Seamless
experience for genuine customers

E-commerce platforms face increasingly sophisticated fraud attempts that traditional rule-based systems cannot keep up with. This sovereign multi-agent fraud system analyses behaviour and context in real time to stop fraud while protecting legitimate customers.

The Challenge of Sophisticated E-Commerce Fraud

Before implementing Singularity IO's agentic platform, underwriting teams spent up to 40% of their time manually extracting data from PDFs, emails, and legacy systems. This not only slowed down the quotation process but also introduced the risk of human error in critical risk assessment models.

Business Challenge
E-commerce platforms face sophisticated fraud attempts that traditional rule-based systems cannot keep up with.
How Agentic AI Helps
A multi-agent fraud detection system analyses transaction patterns, user behaviour, and contextual signals in real time.
Detailed Automated Business Process
Risk Agents evaluate transactions using behavioural models and sovereign RAG. Contextual Agents cross-reference with user history and external signals. High-risk cases trigger additional verification while low-risk transactions proceed instantly.
Potential Business Impact
Fraud losses are reduced by 60–80%, false positives drop significantly, and legitimate customer experience remains frictionless.
Key Takeaways

Implementation Stack

LangGraphLlama 3 (Self-Hosted)ExoscalePostgreSQLn8n

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Measurable Impact

How Singularity's sovereign agentic workflows transformed operations and delivered concrete ROI for this implementation.

85%
3.2x
$1.5M
99.9%
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