The EU AI Act and Minimum Viable Governance: Must-Have Capabilities to Protect the Enterprise from AI Risks
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Case Studies

QBE Uses AI to Accelerate Claims Processing and Improve Customer Experience

AI Model Operations at Scale (Fidelity)

Royal Bank of Canada Capital Markets optimizes bond trading with AI and ModelOp Center

BBSI Achieves Near Real-time Credit Scoring Updates with ModelOp

Challenge: AI model management would be necessary for Straight-Through Processing
Results: QBE fully automated tier 1 claims processing
Solution: ModelOp Center
Benefits:
  • Governance with a centralized point of control
  • Integration with multiple business critical execution platforms
  • Efficiency by operationalizing the STP initiative with DS/MSL (advanced data science and machine learning)
  • Increased prediction accuracy
Challenge: Bond pricing is a real, long-standing challenge for traders.
Solution: Royal Bank of Canada implemented a comprehensive ModelOps capability to support its municipal bond trading operations.
Benefits:
  • Multi-million dollar benefits for muni-bond trading
  • RBC Capital Markets team has a substantial competitive advantage for this fixed income asset trading
  • 50% time to market reduction
Challenge: AI model management would be necessary for Straight-Through Processing
Solution: ModelOp Center
Results: QBE fully automated tier 1 claims processing
Benefits:
  • Governance with a centralized point of control
  • Integration with multiple business critical execution platforms
  • Efficiency by operationalizing the STP initiative with DS/MSL (advanced data science and machine learning)
  • Increased prediction accuracy
Challenge: Improve sales and trading volume by giving more relevant recommendations to clients
Solution: ModelOp Center
Results: Traders now have an interactive system with real-time predictions and the bank has integrated the live pricing predictions as part of the capital markets automated trading “bot” for consumer use as well.
Benefits:
  • Substantial competitive advantage
  • Reduce productionization time by 50%.
  • Ensuring models perform as intended
  • More accurate pricing predictions