How Agentic AI Transformed Compliance for a Global iGaming Operator

How Agentic AI Transformed Compliance for a Global iGaming Operator

Compliance in the iGaming industry is high-stakes.

With over $500M in global gambling fines issued since 2020 and individual AML breaches exceeding $100M, regulatory reporting isn’t just operational hygiene, it’s business critical.

Yet more than 60% of compliance teams still cite manual reporting as their biggest burden.

That was the situation facing a leading global iGaming operator when a key regulatory platform went down for an extended period, creating a backlog of <15,000 mandatory compliance reports.

The business needed more than automation. It needed a scalable, governed AI solution.

The Challenge: Manual Reporting at Regulatory Scale

The operator’s workflow was heavily manual:

• Data extracted from multiple internal systems
  
  
• Manual entry into regulatory portals
  
  
• Reliance on analysts and temporary staff
  
  
• High exposure to delays, errors and service outages
  
  

As the backlog grew, so did the risk:

• Regulatory deadlines under threat
  
  
• Escalating contractor costs
  
  
• Increased pressure on licensing and reputation
  
  
• Analysts diverted from higher-value compliance activity
  
  

A short-term fix wouldn’t work. The business required a resilient, long-term compliance architecture built for scale.

The Turning Point: From Automation to Agentic AI

Rather than simply streamlining the workflow, Lumilinks identified an opportunity to design a Snowflake-native Agentic AI data product.

This meant building a system that could:

• Understand governed data
  
  
• Apply compliance rules
  
  
• Make decisions
  
  
• Take real-world action
  
  
• Operate safely within enterprise controls
  
  

This wasn’t AI experimentation. It was production-grade AI embedded directly into regulated operations.

The Solution: A Snowflake-Native Agentic AI Compliance Platform

Lumilinks designed and deployed a governed compliance workflow operating entirely within the operator’s Snowflake environment.

1. Snowflake as the Secure Data Foundation

All required transaction and player data was curated into a governed gold layer inside Snowflake:

• Centralised, audit-ready datasets
  
  
• No external data movement
  
  
• Secure, encrypted, enterprise-grade architecture
  
  
• Stable inputs for AI-driven decision-making
  
  

Snowflake provided the trusted foundation required for compliance-grade AI.

2. UiPath Orchestration for Regulated Execution

UiPath acted as the automation and orchestration layer.

The AI-driven agent:

• Retrieved and validated compliance data
  
  
• Applied AML thresholds and business logic
  
  
• Submitted regulatory reports directly
  
  
• Managed retries and exception flows
  
  
• Logged every action for audit transparency
  
  

This was AI that didn’t just analyse - it executed.

3. Governance & Oversight Built In

Completed reports were securely stored with review controls and full audit trails.

Automation enhanced governance rather than weakening it.

The Results: Measurable Business Impact

Backlog Eliminated

• <15,000 compliance reports submitted
  
  
• Regulatory timelines restored
  
  
• AI throughput exceeded contractor performance
  
  

Operational Efficiency

• 80 hours of manual work removed per week
  
  
• 4,160 hours saved annually
  
  
• $179,712 in annual value unlocked
  
  

Compliance teams shifted from reactive processing to proactive risk management.

Risk Reduction

In an industry where AML fines can exceed $100M, timely and accurate submission dramatically reduces:

• Regulatory penalty exposure
  
  
• Backlog-driven non-compliance
  
  
• Reputational and licensing risk
  
  

Compliance moved from firefighting to forward-looking control.

Beyond Compliance: A Repeatable Agentic AI Pattern

This deployment created a blueprint for scaling Agentic AI across:

• AML and fraud escalation
  
  
• Player affordability monitoring
  
  
• Identity verification
  
  
• VIP and high-value customer workflows
  
  
• Licensing returns and regulatory reporting
  
  
• CRM automation and real-time segmentation
  
  

Any workflow combining data, decision logic, and action can now be operationalised securely within Snowflake.

Why Lumilinks + Snowflake

Lumilinks specialises in building governed, production-ready AI systems that deliver measurable outcomes — not pilots that stall.

Snowflake provides:

• Centralised governance and security
  
  
• Unified data and AI infrastructure
  
  
• Enterprise-grade scalability
  
  
• Seamless integration with orchestration tools like UiPath
  
  

Together, Lumilinks and Snowflake turn AI ambition into operational performance.

Practical Makes Powerful

AI becomes powerful when it is deployed safely, governed properly, and embedded directly into business operations.

In this case, that meant:

• Clearing a 15,000-report compliance backlog
  
  
• Saving thousands of hours annually
  
  
• Reducing nine-figure regulatory exposure
  
  
• Creating a scalable Agentic AI blueprint
  
  

This is what production-grade AI looks like in regulated industries.