Salv AML

Stop treating your AML policy as shelfware. In Salv AML you convert that policy into working logic you can change in minutes. Start by defining your risk model: choose factors like geography, customer type, product, channel, KYC completeness, and data quality. Assign weights and thresholds, then run a backtest on historical customers and transactions to see how scores and alert volumes shift before you publish. Use approval gates for four‑eyes signoff, version every change, and roll back if needed. Data connectors let you pull in sanctions, PEP, and adverse media sources, with scheduled refresh so screening stays current.

For onboarding, hook the API into your signup flow or use the web app for manual reviews. Each applicant is screened instantly and scored; webhooks push hits to your queue with context such as matched names, sources, and similarity details. Analysts triage using risk bands and explainable scoring that shows which factors drove the result. Configure automatic escalation when a score crosses your enhanced due diligence threshold—generate tasks like source‑of‑funds requests, ID refresh, or manager review. Tune match sensitivity to cut false positives without missing true risk. Schedule periodic re‑screening of your book and track SLAs for approvals, declines, and pending EDD tasks.

In production, monitor payments and account activity with scenarios you can author yourself: velocity spikes, unusual counterparties, rapid layering, high‑risk corridors, structuring near limits, dormant‑to‑active bursts, and more. Pair rule‑based alerts with behavioral scorecards and network views that reveal shared devices, IPs, merchants, and beneficiaries. Suppression and deduping keep noise manageable during peak periods. When an alert opens a case, investigators get a timeline of events, linked entities, notes, and attachments. Use templates to draft SAR/STR narratives, capture decision rationale, and export filings in the regulator’s format.

Reporting keeps leadership and auditors aligned. Dashboards surface alert rates, precision, time‑to‑close, and risk hot spots by country, product, or partner. Run A/B tests to compare thresholds and measure the impact before a full rollout. Integrate with your data stack via REST and webhooks; send tasks to Jira, notify teams in Slack, and archive evidence to your DMS. Enforce SSO, role‑based permissions, and field‑level encryption. Every action is logged for audit, with ready‑made exam packs. If you’re moving off spreadsheets or a legacy tool, use the CSV mapper to import customers, rules, and historical alerts, validate in a sandbox, and go live with a staged cutover.