Digital gaming and risk management

From manual to strategic: AI-enabled risk and controls

A global risk and controls group needed to move from manual, reactive processes toward a more strategic, AI-enabled operating model.

Case Study

Dream11

A global risk and controls group needed to move from manual, reactive processes toward a more strategic, AI-enabled operating model.

The Challenge

The team faced high data volume, long turnaround times, an adversarial internal brand, communication gaps, and manual workflows that slowed risk-program maturity.

Approach

The engagement combined diagnostics, scenario-based communication training, practical AI tooling, and a phased roadmap designed for the client’s fast digital operating environment.

Solution

AI-enabled analytics were introduced for transaction monitoring and anomaly detection, generative AI supported audit and scoping documents, and NLP helped summarize long-form documents and meeting transcripts.

Outcomes

  • Projected 40-50% efficiency improvement in audit processes.
  • Report generation could become 55% faster.
  • Document review time was reduced by 85%.
  • Risk identification accuracy improved by 34%, with potential fraud-detection rate gains of 60%.

Forward Motion

The team began repositioning from compliance enforcer to strategic business partner, with a foundation for continued AI pilots and risk capability building.

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