Investigator copilots that are audit-ready from day one.
Retrieve evidence, generate grounded summaries, and draft documentation—with approval gates and immutable logs.
The problem
- Investigation backlogs growing faster than analyst capacity
- Analysts spend 70%+ of time on data gathering vs. actual analysis
- Inconsistent investigation quality across analysts
- Regulatory pressure for faster, more auditable investigations
How it works
Alert Triage
Score and prioritize alerts based on risk indicators and historical patterns.
Evidence Retrieval
Automated collection of relevant data across systems—grounded with source citations.
Entity Resolution
Link related entities, accounts, and transactions across systems.
Grounded Summary Generation
Generate investigation summaries with inline citations—designed to prevent hallucinated facts.
Draft Documentation Assist
Draft SARs, EDD reports, and investigation narratives for analyst review.
Approval & Immutable Logging
Analyst reviews, edits, and approves all outputs with full audit trail.
Deliverables bundle
Integrations
Controls included
- SOC 2 aligned controls
- Encrypted data handling
- Role-based access with segregation of duties
- Model explainability
- Investigation audit trail
Pilot plan
Map investigation workflows, data sources, and regulatory requirements.
Evidence retrieval, summary generation, draft documentation, and copilot interface.
Parallel investigation with analysts, quality comparison.
Controlled production deployment with analyst training.
Expected outcomes
All figures are estimates based on comparable engagements
- Reduced time per investigation (estimate)
- Improved consistency across analysts (estimate)
- Audit-ready documentation for investigations
- Eval reports demonstrating model accuracy
Risks & mitigations
Risk: Incorrect summaries in regulatory context
Mitigation: All summaries grounded with citations; mandatory human review before submission.
Risk: Regulatory acceptance of AI-assisted investigations
Mitigation: Human-in-the-loop for all final decisions; comprehensive audit trail.
Risk: Data quality gaps
Mitigation: Data quality scoring per source; fallback to manual retrieval.
Frequently asked questions
Want to talk through your use case?
Book a 30-minute discovery call. We'll scope the workflow, map integrations, and outline security controls—no commitment required.