SRI Platform in Action: A System of Intelligence for Continuous Compliance
See how agentic AI turns financial crime intelligence into action
Financial crime threats evolve. Regulations change. But for many financial institutions, compliance technology remains static, making it difficult to translate new intelligence into effective controls.
In this on-demand product demonstration, discover how SymphonyAI's Symphony Risk Intelligence (SRI) connects emerging threats, regulatory requirements and institutional risk with the detection models, investigations and workflows needed to respond.
See how unified risk intelligence, agentic AI and embedded governance come together to enable Always-on Compliance™, helping financial institutions move beyond disconnected systems toward a more adaptive, intelligence-led approach to financial crime prevention.
What you'll see in the demonstration
Join David Lehmani, SRI Product Director at SymphonyAI, for a practical walkthrough of the platform, including:
- A connected System of Intelligence: See how emerging threats, regulatory changes and internal policies are linked to existing financial crime controls through a unified knowledge graph.
- AI-driven threat analysis: Discover how agents analyze regulatory and threat intelligence documents, identify relevant typologies and highlight potential control gaps.
- Adaptive transaction monitoring: Explore how AI agents recommend detection rules and how teams can configure, test and optimize rules and machine learning models before deployment.
- Agent-assisted investigations: See how agents gather evidence, assess risk indicators, prepare investigation summaries and support regulatory reporting, with human oversight.
- Built-in AI governance: Understand how agent orchestration, guardrails, evaluations and audit trails support transparent, controlled and explainable AI operations.
Access the full webinar now
Traditional compliance systems often struggle to keep pace with evolving financial crime threats and regulatory requirements. Discover how SRI connects threat intelligence, detection controls and investigations to help financial institutions move toward continuous, intelligence-led compliance.
Watch the full demonstration to see how agentic AI identifies emerging risks, recommends updates to transaction monitoring controls and accelerates investigations, all supported by embedded governance, explainability and human oversight.
Related resources
FinCrime Frontier 2026-27 Report
Agentic AI & Embedded Risk Intelligence: A Leader's Guide
Agentic AI in Financial Services: From Hype to Governance
Compliance modernization - Why financial services can't afford to stand still
Discover Symphony Risk Intelligence
The AI-native FinCrime platform designed to help financial institutions move from reactive to proactive risk management.
Symphony Risk Intelligence (SRI) is SymphonyAI's financial crime compliance platform. It connects threat and regulatory intelligence with detection models, investigations and operational workflows, using AI and agentic orchestration to help financial institutions identify emerging risks, adapt controls and support continuous compliance.
SRI uses a System of Intelligence to connect emerging threats, regulatory requirements and internal policies with existing compliance controls. AI agents can identify potential coverage gaps and recommend changes, while governance and approval workflows help institutions evaluate and implement updates.
SRI uses AI agents to gather relevant customer and transaction information, identify risk indicators, prepare evidence summaries and support investigation reporting. Investigators can review the findings, examine underlying evidence and retain control over decisions and disclosures.
Yes. SRI can identify emerging financial crime typologies, recommend detection rules and support changes to existing transaction monitoring strategies. Teams can evaluate proposed changes against historical data, compare performance with production models and approve updates before deployment.
SRI includes agent orchestration, configurable guardrails, execution tracing and evaluation capabilities. These help institutions monitor agent behavior, control access to data and tools, review outputs and maintain oversight of AI-supported compliance decisions.