AML-first assistant for real-world compliance decisions

Purpose-built guidance for EDD, sanctions exposure (Russia/CIS), KYC/KYB, and adverse media—fast, consistent, and defensible.

Sanctions-aware • Russia/CIS EDD-ready
Consistent decisions
Repeatable logic and documented rationale
Risk visibility
Flag exposure across sanctions regimes
Time savings
Accelerate reviews without cutting corners

Core features

Tools that keep your AML, sanctions screening, and due diligence grounded in policy and evidence.

Sanctions context (Russia/CIS)

Summarizes exposure across OFAC, UK HMT, EU listings, sectoral measures, ownership and control risks, and circumvention indicators.

EDD playbooks

Structured prompts for source-of-wealth, UBO mapping, transaction pattern reviews, and heightened-risk geography checks.

Adverse media triage

Guidance to categorize coverage quality, differentiate allegations vs. convictions, and map relevance to customer risk.

KYC/KYB checklists

Flexible templates for documentary completeness, beneficial ownership thresholds, and ongoing monitoring triggers.

Decision memo scaffolding

Auto-structured rationale with key facts, controls, uncertainties, and recommendation options for auditability.

Policy alignment

Maps outcomes back to your risk appetite, escalation rules, and regulatory expectations to maintain consistency.

High-impact use cases

Where the AML Bot slots into your workflow without disrupting controls or governance.

Onboarding in heightened risk geographies

Frame questions, identify documentary gaps, and set conditions precedent before account opening.

Sanctions exposure sense-check

Cross-examine corporate structures, sector ties, and trade flows for direct or indirect exposure risk.

Periodic reviews and trigger events

Refresh EDD when ownership changes, new adverse media appears, or counterparties shift.

Transaction pattern analysis

Outline hypotheses for unusual corridors, counterparties, or layering indicators to support investigations.

Compliance pledge

Ethical, defensive, compliant

Built to support AML, sanctions compliance, and EDD. It does not replace professional judgment, regulatory obligations, or your internal policies. Use outcomes as guidance, not prescriptive advice.

  • Alignment: Tailor outputs to your risk appetite and escalation thresholds.
  • Evidence-first: Prioritize verifiable sources and documentary integrity.
  • Auditability: Keep a clear trail of rationale, uncertainties, and decisions.

Russia/CIS sanctions sensitivity

Prompts help identify ownership/control issues, sectoral sanctions, dual-use risks, trade finance exposure, and potential circumvention channels. Where facts are uncertain, it recommends pauses and escalations.

  • Ownership: Aggregate minority holdings and control pathways.
  • Sector: Energy, defense, metals, transport, and critical tech scrutiny.
  • Circumvention: Re-routing, transshipment, and proxied counterparties signals.

Start with a guided review

Pick a bot, paste your case context (redact personal data), and select the playbook: sanctions scan, EDD deep dive, or onboarding checklist.

Guardrails

Redact sensitive data, record decisions in your case management system, and escalate uncertainty. The bot offers structured guidance; you own the decision.

  • Privacy: Avoid personal data where not strictly necessary.
  • Controls: Follow internal approval and four-eyes checks.
  • Escalation: Pause when conflicting facts or sanctions signals appear.

Frequently asked questions

Does this replace compliance teams?

No. It accelerates structured thinking and documentation, but human review, policy adherence, and regulator expectations remain essential.

Can it provide definitive sanctions determinations?

It can surface risk indicators and logic paths. Determinations require validated data, screening tools, and formal sign-off.

How is Russia/CIS risk handled?

Prompts emphasize ownership/control, sectoral exposure, trade routes, and circumvention signs, recommending escalation when evidence is inconclusive.

Is personal data required?

Use minimal, redacted context. Store records in your own systems, not on the bot. Follow your data governance policies.