Beating Financial Fraud with Agentic AI and Microsoft Fabric: A Transformation Story
- Exult Global
- Jun 30
- 2 min read
The Starting Point: A Global Bank Under Siege
A leading global financial institution found itself overwhelmed by rising fraud threats. Synthetic identities, real-time cross-channel attacks, and AI-assisted fraud were outpacing its rule-based detection systems. Compliance pressure was rising. Analyst fatigue was at an all-time high.
Their legacy tools flagged too many false positives—80% of alerts were noise. The real threats? Often buried, sometimes missed.
The Obstacles: Traditional Tools Couldn’t Keep Up
[] Static rules couldn’t adapt to dynamic fraud patterns
[] Analysts were overwhelmed by alert volumes, not insight
[] Detection latency spanned hours—too slow for real-time fraud
[] Regulatory audits demanded auditability and lineage—hard to prove
It was clear: the bank needed a new approach. One that was fast, intelligent, and auditable by design.
The Breakthrough: Agentic AI Meets Microsoft Fabric
Enter Exult Global. We proposed a new fraud detection framework built on:
[] Agentic AI – Autonomous AI agents trained to detect, escalate, and learn from evolving fraud signatures
[] Microsoft Fabric – Unified data ingestion and analytics foundation powered by OneLake
[] Azure OpenAI + Prompt Flow – LLM-based pattern detection and real-time narrative analysis
[]Power Automate + Teams – For real-time alerting and human intervention when needed
This wasn’t just an upgrade. It was a reinvention of the entire fraud response lifecycle.
How It Works: Smart Agent Lifecycle
[] Monitor: Agents ingest transactional data from OneLake in near real-time
[] Evaluate: Prompt Flow pipelines assess intent and anomalies via AI models
[] Act: High-confidence threats trigger Power Automate flows to freeze transactions
[] Learn: Feedback is captured to train future fraud patterns
The system continuously evolves — each fraud event makes the agent smarter.
Measurable Impact
Outcome | Before | After |
False Positive Rate | 80% | 48% |
Detection Time | 2.5 hours | < 20 seconds |
Analyst Intervention Required | 100% | 30% of alerts |
Audit Readiness Score | C | A+ |
Deployment Highlights
[] Deployed in under 6 weeks using Microsoft Fabric pipelines
[] Integrated Copilot Agents to narrate fraud trends to executives
[] Power BI dashboards tracked agent performance and audit trails
[] Purview enforced access to sensitive identity and transaction data
The Transformation
With intelligent agents constantly learning and acting, the fraud detection team transformed from reactive to predictive. Regulators praised the system’s transparency and lineage. Analysts finally had bandwidth to focus on strategic threats, not routine reviews.
This wasn’t just operational efficiency—it was risk intelligence redefined.
Why Exult Global
Our fraud detection accelerator combines:
[] Agentic AI frameworks built on Microsoft Fabric and Prompt Flow
[] Regulatory-grade data governance and lineage
[] Real-time alerting and reporting via Power BI, Data Activator, and Teams
[] Continuous tuning through human feedback loops and Copilot narratives
Fraud is evolving. Your detection tools should too.
🔗 Learn more about Microsoft Fabric – Understand Microsoft Fabric’s capabilities for analytics .
Schedule a consultation to modernize your fraud detection with Exult Global today.
Compliance Note: This case study is anonymized and based on real deployment architectures. All Microsoft product names and features are used per public documentation. Agentic AI solutions follow Microsoft’s responsible AI and security compliance guidance.
Commentaires