Solutions — Banking
For regulated
financial
institutions.
KYC, AML, trade surveillance, regulatory intelligence. Six high-value use cases where agentic AI changes the unit economics — and every one designed to survive an audit.
Use cases
Six high-value places to begin.
KYC & onboarding
Document extraction, sanctions screening, adverse-media checks, and risk-tiering, with full evidence trail per applicant.
Faster onboarding · full evidence trail
AML & transaction monitoring
Multi-signal anomaly detection with agent-generated narrative cases. Investigators get a draft SAR, not a raw alert.
Fewer false positives to chase
Trade surveillance
Cross-market behaviour detection — spoofing, layering, marking-the-close — with explainable rationale per flag.
MAS Notice SFA 04-N12 aligned
Regulatory reporting
Generative summaries of MAS notices, BCBS papers, BIS publications, mapped to your policy library and gap-flagged.
Brief cycles in hours, not days
Customer due diligence refresh
Automated periodic review of EDD files. Agent retrieves latest data, identifies changes, drafts review note.
More reviews per analyst, same headcount
Client servicing
Wealth and corporate banking RM copilot — call summaries, action items, next-best-conversation suggestions.
Post-meeting admin, largely automated
Compliance by design
Audit-ready on day one.
Every Dhari agent is designed against MAS guidance from the first commit. Not bolted on as a compliance review.
Fairness, Ethics, Accountability, Transparency principles for AI in financial services
AML/CFT requirements for banks — full audit trail for every screening decision
Technology Risk Management Guidelines — observability, change control, incident response
Singapore data residency, DPO oversight, DPIA per use case, consent management
IMDA AI governance testing framework — ready for self-assessment certification
Banking engagements
Want to scope a pilot in your bank?
Most banking pilots start with a 6-week proof of value on a contained use case — typically KYC refresh, AML narrative drafting, or regulatory summarisation. We bring the agents; you pick the data.