aml for sponsor banks

The AI-powered AML risk platform for sponsor banks.

Gain full oversight and control over your fintech programs, addressing their unique risk profiles. Leverage AI to reduce false positives and prioritize key alerts and cases.

aml for sponsor banks

The AI-powered AML risk platform for sponsor banks.

Gain full oversight and control over your fintech programs, addressing their unique risk profiles. Leverage AI to reduce false positives and prioritize key alerts and cases.

aml for sponsor banks

The AI-powered AML risk platform for sponsor banks.

Gain full oversight and control over your fintech programs, addressing their unique risk profiles. Leverage AI to reduce false positives and prioritize key alerts and cases.

aml for sponsor banks

The AI-powered AML risk platform for sponsor banks.

Gain full oversight and control over your fintech programs, addressing their unique risk profiles. Leverage AI to reduce false positives and prioritize key alerts and cases.

Features

Monitor all your fintech programs in one place.

Features

Monitor all your fintech programs in one place.

workflow assistance

Centralize your fintech partners’ data into a single, unified Command Center.

One-Click Connection

Connect your fintech databases in one click with our powerful and automated database ingestion system.

Full visibility of BSA/AML Compliance

Monitor the health and effectiveness of each fintech program in a single pane of view Command Center, ensuring compliance and operational efficiency.

flexible and accessible

Easily create and test tailored workflows to address each fintechs unique risk profile.

AI-Powered Workflow Creation

Describe your workflow and rules logic in natural language and watch these come to life.

No-code and Low Code Interface

1-click duplicate risk models across fintechs. Easily customize risk models per fintech in a drag-and-drop manner.

Powerful Testing Suite

Run backtests, A/B tests, and unit tests in one click to validate existing and new risk models.

plug and play

Improve detection accuracy and reduce false positives with the most advanced ML models and templates.

Alert Prioritization ML Model

Prioritize alerts based on their significance and potential risk, facilitating response management.

Out-of-the-Box AML Scenarios and Rule Templates

Leverage customizable templates to adapt to fintech-specific requirements across products, payment methods and compliance standards.

Unsupervised Anomaly Detection Model

Detect patterns indicative of money laundering, mule activities, layering, and other illicit behaviors.

reporting assistance

Save countless hours with AI-driven SAR reporting

Automated SAR Generation

Accelerate SAR-filing with auto-populated case information and Oscilar AI-generated narratives.

One-Click Escalation

Single click escalation of SAR/UAR alerts from fintech partners to the sponsor bank.

Dive deeper into deploying agents inside your AML operations.

FREE RESOURCE

Dive deeper into deploying agents inside your AML operations.

FREE RESOURCE

Dive deeper into deploying agents inside your AML operations.

FREE RESOURCE

Dive deeper into deploying agents inside your AML operations.

FREE RESOURCE

Dive deeper into deploying agents inside your AML operations.

FREE RESOURCE

AI Case management

Let us handle the busywork.

Leverage AI-powered case management to reduce manual work and dramatically accelerate investigations.

AI Case management

Let us handle the busywork.

Leverage AI-powered case management to reduce manual work and dramatically accelerate investigations.

Comprehensive Case Insights and Analytics

Get a complete background on each case via 1st party and 3rd party data.

Comprehensive Case Insights and Analytics

Get a complete background on each case via 1st party and 3rd party data.

Smart Automations and Collaboration

Streamline investigations with task assignment, prioritization, escalation, and seamless collaboration with fintech partners

Smart Automations and Collaboration

Streamline investigations with task assignment, prioritization, escalation, and seamless collaboration with fintech partners

AI-Powered Case Summaries and narratives

Understand case triggers, approvals and declines with Oscilar AI.

AI-Powered Case Summaries and narratives

Understand case triggers, approvals and declines with Oscilar AI.

FAQ

Glad you asked.

What is AML oversight for sponsor banks?

AML oversight for sponsor banks is the process of supervising the financial-crime controls and outcomes of fintech programs operating through the bank. It spans due diligence, program design, data access, transaction monitoring, alert and case performance, issue remediation, reporting, and ongoing governance. Partners may perform day-to-day work, but the bank must retain sufficient information, authority, and evidence to oversee the activity.

How is sponsor-bank AML oversight different from a fintech's own compliance operations?

A fintech may operate customer onboarding, monitoring, investigations, and reporting under the program agreement. The sponsor bank defines minimum standards, assesses the fintech's controls, monitors outcomes, challenges deficiencies, approves or escalates material changes, and demonstrates oversight to management and examiners. The teams may use the same underlying data, but they have different responsibilities, permissions, and lines of accountability.

As a sponsor bank, we're accountable for our fintech partners' compliance. How can a platform help with that oversight?

Yes, if it gives the bank consistent access to partner data, program-level health indicators, alert and case activity, escalations, and policy performance in one oversight layer. It should reduce manual reconciliation without obscuring differences among programs. Oscilar centralizes partner data in a command center and supports customizable workflows for distinct fintech risk profiles. The platform can improve visibility and control, but the sponsor bank still needs defined governance, testing, escalation, and challenge processes.

How do sponsor banks apply common controls while preserving program-specific policies and risk tolerances?

Create a bank-owned baseline of mandatory controls, data standards, approval steps, and reporting, then inherit that baseline into each program's configuration. Program-specific rules, thresholds, models, and escalation paths can reflect different products, customers, geographies, and payment rails. Material deviations should be documented, tested, approved, versioned, and monitored so flexibility does not become inconsistent control execution.

What audit trail should exist across partner alerts, escalations, and policy changes?

The record should show source data, the rule or model version applied, alert creation, assignments, evidence gathered, analyst actions, escalations, approvals, overrides, case outcomes, and relevant filing or remediation status. Policy changes should include rationale, testing, approver, effective date, and prior versions. Sponsor banks also need access controls and program-level lineage so records are complete without exposing one partner's data to another.

Which AML metrics should a sponsor bank monitor across fintech programs?

Monitor data freshness and coverage, alerts by scenario, case aging and SLA adherence, escalation and disposition patterns, SAR timeliness and quality controls, analyst overrides, rule or model performance, exceptions, and remediation status. Portfolio reporting should allow comparison without assuming every program has the same risk profile. Metrics need program context, trend lines, ownership, and thresholds that trigger review or escalation.