PLAYBOOK · FINANCE & BANKING
Operate a KYC and AML triage network on your infrastructure.
Customer due diligence, sanctions screening, PEP review, transaction monitoring, SAR drafting — each is a specialist task. VDF AI decomposes a case into the right sub-intents, routes each to the right agent, and keeps a SEEMR-governed audit trail.
The problem
Compliance teams drown in tickets
Banks process millions of KYC refreshes and AML alerts per year. Each case carries different document mixes, sanctions lists, jurisdictions, and risk profiles. Manual triage scales poorly; rule engines can't reason over freeform evidence.
The VDF AI approach
Specialist agents working in concert
One Network. Five specialist agents — identity, sanctions, transaction, PEP, SAR. Intent template decomposes the case; SEEMR routes per sub-intent; every decision is logged with citations and tool calls.
REFERENCE ARCHITECTURE
A single network, five specialists
Per-jurisdiction policy vectors
Sanctions API · PEP API · Adverse media
Intent template · SEEMR routing
PLAYBOOK · STEP BY STEP
From alert to decision pack
Register sanctions, PEP, and adverse media APIs
Each external screening service becomes a typed Custom HTTP tool with secrets managed by AgentsHub.
Vectorize policies and prior cases
Internal AML procedures, FATF guidance, and resolved case notes go into pgvector — scoped per jurisdiction.
Author specialist agents
Each agent has a tight system prompt: identity verification, sanctions hit reasoning, transaction-pattern analysis, PEP exposure, and SAR drafting with required FinCEN/EU sections.
Define the case intent template
Decompose a case into sub-intents and bind each to the right agent. The planner runs them in parallel where safe.
Audit every step
Live Execution Monitoring stores tool calls, model decisions, and citations. Reviewers can replay any case.
OUTCOMES
Reviewers focus on real exceptions
average case triage time.
cases ship with a complete evidence pack to the reviewer.
every decision traceable to inputs, prompts, models, and tool calls.
SEEMR REFERENCE
Routing that respects risk
SEEMR learns which model handles routine identity checks cheaply and which to escalate. High-risk sub-intents stay on your private high-capability model; low-risk on energy-efficient SLMs.
GET IN TOUCH
You Have Questions
Tell us what you’re trying to achieve—governed AI Networks, enterprise RAG, deep integrations, or on‑premise deployment. We’ll help you map the right architecture, security posture, and rollout path. If you’re moving beyond AI pilots and need scalable, auditable execution, reach out—our team is ready to help.