Pain Point:
Fraud and financial irregularities pose constant risks to company assets.

Solution:
Implement an AI fraud detection tool like FraudGuard AI to monitor transactions and flag anomalies.
Cost: ~$8,000/year
Implementation Timeline: 8 weeks

Scrum Process:

  • Backlog: Identify common fraud patterns and vulnerabilities.
  • Sprint 1 (3 weeks): Configure anomaly detection algorithms.
  • Sprint 2 (3 weeks): Integrate with transaction systems and set thresholds.
  • Sprint 3 (2 weeks): Test in a controlled environment and deploy.

Outcome:
Proactive fraud detection that minimizes losses and builds trust.

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