The most advanced copilot for risk professionals.
Oscilar AI empowers fraud, compliance, and credit teams with agentic intelligence. Make every risk decision with confidence.
10x Faster Risk Ops
Stop drowning in manual reviews. Our AI agents autonomously investigate alerts, generate risk narratives, and surface hidden patterns across millions of data points. Reduce investigation time from hours to minutes so your team can focus on strategic decisions.
Your risk team has a new toolbox.
Oscilar's AI Agents work 24/7 alongside your team, each specializing in critical risk domains. Unlike traditional automation, our agents understand context, adapt to emerging patterns, and make intelligent decisions while keeping humans in control of what matters most.
Rule 1
↓
False Positives
-6.39%
Rule 2
↑
Recall
+32.9%
Add 2 rules
Reject

Translator Agent

CTR Agent

TestGen Agent

Narratives Agent

Workflows Agent

Credit Explainability Agent

Fraud Dispute Agent

Analytics Agent

RuleRec Agent

AML L1 Agent

SAR Agent

Sanctions Agent

PEP Agent
Foundational tuned models.
High-performance AI models and data features combine domain-specific fraud intelligence with institution-level optimization. Unlike generic consortium models, Foundational Tuned Models are fine-tuned using your unique transaction data, fraud signals, and payment behaviors.
Continuously updated with customer-specific fraud typologies (e.g., ACH chargeback fraud, account takeovers, money mule detection).
Leveraging supervised learning, anomaly detection, and graph-based fraud networks to detect evolving fraud tactics.
Automatically refining fraud detection through live behavioral insights and fraud case feedback.
Multi-Payment-Type Precision
Optimized fraud detection across ACH, cards, wallets, SWIFT transactions, and more for higher accuracy across your payments ecosystem.
FAQ
Glad you asked.
How does Oscilar AI differ from traditional rule-based systems?
Unlike static rule engines, Oscilar AI uses bounded, goal-based agents that adapt to changing threats in real-time. Our agents can identify patterns humans might miss, suggest rule optimizations, and even predict emerging fraud tactics—all while providing clear explanations for every decision. Think of it as evolving from a checklist to having an expert risk analyst working 24/7.
Will AI agents make decisions without human oversight?
No. Oscilar AI operates on a "human-in-the-loop" principle. While our agents automate routine tasks and provide recommendations, critical decisions—like blocking accounts or changing risk thresholds—always require human approval. You maintain full control while benefiting from AI's speed and scale.
How quickly can we implement Oscilar AI?
Most teams see value within days. Expression Generation and Workflow Copilot work immediately with your existing data. Specialized agents like AML Alert Triage typically deploy within 2-4 weeks, learning from your historical data to provide tailored insights. Our Docs Agent guides you through the entire process.
How does Oscilar AI ensure compliance and prevent bias?
Every AI model undergoes rigorous testing for bias and disparate impact before deployment. All decisions include audit trails showing exact reasoning, data sources, and confidence levels. Our governance framework ensures changes pass through proper review channels, and we continuously monitor for model drift to maintain accuracy and fairness.
Can Oscilar AI work with our existing tools and data?
Absolutely. Oscilar AI integrates with your current data sources, case management systems, and compliance tools. Our agents enhance rather than replace your existing infrastructure, learning from your unique data patterns while respecting your established workflows and governance processes.
What ROI can we expect from Oscilar AI?
While every risk team is different, customers typically see 30-50% reduction in manual review time, 25% decrease in false positives, and significantly faster rule deployment. For a mid-size financial institution, this often translates to $2-5M annual savings in operational costs while improving customer experience through reduced friction.















