Use case
KYC and AML Review With Evidence Built In
Cross-reference onboarding packs, alerts, and supporting documents faster without losing the traceability regulators expect.
Problem and approach
Financial crime teams manually stitch together onboarding documents, beneficial ownership records, transaction narratives, and alerts to decide whether a case is complete, suspicious, or ready to escalate. The manual work slows decisions and weakens consistency across analysts.
OdysseyGPT helps analysts interrogate customer evidence, compare narratives across documents, and assemble a cited review pack that supports escalation, remediation, and supervisory scrutiny.
Key Takeaways
- Accelerate customer due diligence and AML case review with cited narratives and escalation-ready evidence packs.
- Review customer and transaction evidence in one workspace instead of across fragmented tools.
- Generate case notes and escalations with citations to the underlying supporting documents.
Benefits
- Case Assembly: Review customer and transaction evidence in one workspace instead of across fragmented tools.
- Narrative Support: Generate case notes and escalations with citations to the underlying supporting documents.
- Consistency: Apply the same evidence standard across analysts, queues, and review cycles.
- Governed Review: Preserve access controls and reviewer history across sensitive KYC and AML workflows.
Workflow
- 1. Load the evidence pack
Upload onboarding documents, beneficial ownership records, alerts, transaction narratives, and supporting correspondence.
- 2. Interrogate the case
Ask targeted questions about ownership, purpose, transaction context, or conflicting statements across the pack.
- 3. Validate and escalate
Review the cited answers, refine the analyst narrative, and flag items requiring escalation or remediation.
- 4. Export the case output
Package the review notes, citations, and supporting evidence for downstream case management or reporting.