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.
KYC & onboarding
Document extraction, sanctions screening, adverse-media checks, and risk-tiering, with full evidence trail per applicant.
60% faster onboarding · 92% first-pass accuracy
AML & transaction monitoring
Multi-signal anomaly detection with agent-generated narrative cases. Investigators get a draft SAR, not a raw alert.
40% reduction in false positive review time
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.
3-day to 3-hour brief cycle
Customer due diligence refresh
Automated periodic review of EDD files. Agent retrieves latest data, identifies changes, drafts review note.
5× more reviews completed per analyst
Client servicing
Wealth and corporate banking RM copilot — call summaries, action items, next-best-conversation suggestions.
70% reduction in post-meeting admin
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.