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.
KYC and AML are not single decisions — they are a chain of micro-decisions, each of which the bank has to evidence. VDF AI restructures the chain so every link (eligibility, sanctions, PEP, transaction monitoring, SAR drafting) is a specialist agent backed by typed tools, with a Vault-grade audit trail tying them together.
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.
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.
A passed KYC check that cannot be explained is worse than a failed one that can. Examiners increasingly ask "show me the process", not just the conclusion. Spreadsheets and ticket systems were never designed for that.
VDF AI separates the policy (intent template), the capability (specialist agent), the evidence (Custom HTTP tool result and retrieved chunks), and the decision (network output). Every artifact is independently logged, replayable, and exportable.
Each external screening service becomes a typed Custom HTTP tool with secrets managed by AgentsHub.
Internal AML procedures, FATF guidance, and resolved case notes go into pgvector — scoped per jurisdiction.
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.
Decompose a case into sub-intents and bind each to the right agent. The planner runs them in parallel where safe.
Live Execution Monitoring stores tool calls, model decisions, and citations. Reviewers can replay any case.

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 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.
No. Your sanctions provider remains the system of record. VDF AI calls it as a Custom HTTP tool, reasons over the result, and packages the evidence.
The Sanctions Agent emits structured output with confidence and rationale. Low-confidence hits route to a reviewer queue. SEEMR learns from reviewer decisions and reduces noise over time.
It can prepare the SAR draft with all required FinCEN or EU sections. Filing remains a human action — by design.
VDF AI exposes every model selection, prompt, and tool call. That transparency is the foundation for SR 11-7-style validation. Most institutions add a model-risk checklist to the Accuracy Testing module.
All data and PII processing happens on-prem. Domains plus tool-level auth ensure only entitled agents can retrieve specific fields.
A pilot LOB typically reaches production in eight to twelve weeks. Multi-LOB rollouts run by line of business in parallel after the first.
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.