Risk management for sponsor banks
Real-time oversight for sponsor banks
Enforce global regulatory requirements, mandate AML controls, and monitor your fintech programs from a single dashboard.

Confidently scale fintech programs
Enforce consistent risk standards
Mandate AML monitoring rules and policy controls across every sponsored program.

Maintain real-time portfolio oversight
Monitor risk, alerts, and performance across all fintech partners in one dashboard.

Launch programs with built-in compliance controls
Accelerate fintech onboarding with configurable oversight frameworks and enforceable guardrails.

Centralize fintech oversight, enforce policy requirements, and standardize AML monitoring across programs.
Portfolio Monitoring
Fill portfolio oversight gaps
Gain a 360-degree view across onboarding, AML, alerts, and transaction activity without relying on fragmented reports.

Track onboarding duration, approval rates, and CDD/CIP adherence to ensure KYC and AML standards are enforced.
Identify fintechs with elevated fraud rates, alert backlogs, policy deviations, or unusual activity trends.
Maintain a centralized dashboard with audit-ready oversight across all sponsored programs.



Policy Enforcement
Risk-based compliance controls
Mandate minimum standards while preserving flexibility for different program models.
Program Supervision
Supervise child programs
Eliminate fragmented reporting and spreadsheet-driven oversight across fintech programs.
See onboarding outcomes, login activity, transaction monitoring, and alert decisions across merchants and end users.


Monitor approval rates, alert volumes, case resolution times, and UAR/SAR/STR filing trends across your portfolio.

Automate risk assessments and surface control breakdowns before they escalate to regulatory issues.



Cross-Program Risk
Screen UBOs for indirect sanctions exposure
Identify hidden risk beyond business verifications by analyzing true ownership and control.
AI agents for continuous sponsor bank oversight
Agents constantly assess fintech risk, surface anomalies, and document supervisory actions.
Automate onboarding and compliance reviews
Resolve KYC, KYB, sanctions, and adverse media alerts with consistent, audit-ready evaluations.

Detect emerging portfolio risk patterns
Analyze alerts, transaction trends, and shared identifiers to uncover coordinated risk across fintech programs.

Generate regulator-ready case documentation
Draft structured report narratives from case notes & data. Compile alert checklists, investigations, data & documents into exam-ready summaries.

Recommend policy and rule updates
Suggest new monitoring thresholds based on anomaly detection across your fintech portfolio.

Operate with governed oversight
Run in copilot or autonomous mode with sampling, calibration, and full audit trails.

Backed by the industry’s leading data platform
Connections Graph
Unified intelligence across your fintech portfolio
Identify shared identifiers, coordinated fraud rings, and cross-program risk patterns by connecting accounts, devices, and counterparties in a single view.


Rules & Workflows
Enforce consistent controls across fintech programs
Define clear monitoring standards that partners cannot override. Configure parent-child rule inheritance, mandate AML and fraud thresholds, and independently supervise enforcement across all sponsored programs.

Case Management
Centralized supervision and regulator-ready documentation
Track alerts, investigations, escalations, and SAR filings across fintech programs in one system. Maintain clear audit trails, document supervisory decisions, and generate structured reporting suitable for internal governance and regulatory review.
Supervise your fintech portfolio with confidence
Frequently asked questions

How does Sponsor Bank OS let us supervise fintech AML programs independently from their L1 monitoring?
Sponsor Bank OS allows banks to configure and mandate parent-level monitoring rules that fintech partners cannot disable. You can run independent bank-level transaction monitoring alongside fintech L1 controls, apply required AML thresholds, and backtest rule changes before enforcement. This ensures supervisory separation while maintaining portfolio-wide consistency and audit documentation of every rule change.
How can we evaluate whether fintech alert handling and SAR quality meet regulatory expectations?
The platform tracks alert volumes, resolution times, escalation patterns, re-investigation rates, and SAR filing trends across programs. AI agents can generate regulator-ready SAR narratives by synthesizing transactions, alerts, and investigation history into structured, compliant documentation. This allows sponsor banks to assess both timeliness and narrative quality before examiners do.
Can AI agents operate autonomously without reducing governance or oversight?
Yes. Agents can operate in copilot or autonomous mode under a structured Agentic Oversight Framework. Sponsor banks can sample decisions for above-line and below-line validation, review agent-generated outputs, and maintain full audit trails of every recommendation, rule update, and alert resolution. Automation increases efficiency without sacrificing supervisory control.
How does the platform surface emerging cross-program risk patterns?
Sponsor Bank OS uses portfolio-wide analytics and graph intelligence to detect shared identifiers, infrastructure reuse, velocity anomalies, and coordinated abuse across fintech programs. With 4,800+ pre-engineered risk features and anomaly-driven rule suggestions, the system identifies shifts in fraud exposure, mule activity, or product-level risk before issues scale.
How does Sponsor Bank OS reduce manual supervision without weakening controls?
AI agents automate KYC, KYB, sanctions screening, OSINT research, alert resolution, and rule suggestions. Pre-engineered features and configurable workflows allow analysts to build and deploy controls without heavy engineering lift. Sponsor banks gain real-time portfolio oversight while reducing spreadsheet-driven reviews and seasonal staffing spikes.

