Case Reader
Gain detailed insights into your fraud and financial crime cases
Key benefits
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Uncover new trends and patterns
Automated trend detection uncovers recurring tactics across large case backlogs that manual reviews overlook
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Avoid regulatory fines
End-to-end case traceability evidences robust controls and policies, satisfying regulators and reducing exposure to fines
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Fast‑track control testing
Instantly convert discovered patterns into ready‑made scenarios for the FinCrime Dynamics testing framework, challenging controls and fine‑tuning them in days rather than months.
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Improve MI practices & reporting
Built‑in quality scores feed management‑information packs and SAR filings, enabling data‑driven decisions and clearer senior‑management oversight
How does Case Reader work?
Step 1: Connect case data
Securely ingest investigation notes, claims files and SAR narratives from existing systems. Case Reader parses structure, cleans content and normalises key fields.
Step 2: Extract cross‑case trends and patterns
Case reader clusters common entities, channels and modus operandi, revealing patterns missed in one‑by‑one reviews.
Step 3: Review key insights in the Case Reader dashboard
Spot emerging fraud and financial-crime trends, locate case bottlenecks and data-quality gaps, export crisp MI for reporting, and save key patterns to the simulation library for later control testing.