Scale your impact. Not your workload.
SRI Agents transform compliance workflows across your existing systems. Build on shared financial crime expertise to reduce manual effort, expand capacity and strengthen regulatory confidence, with governance embedded throughout.
Manual work puts a ceiling on compliance capacity
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Greater investigation capacity with stronger control
Less manual effort
Agent and investigator alignment
Decision traceability
Capacity beyond normal working hours
Lower inference costs with SymphonyAI DSLMs
SymphonyAI DSLM comparative performance relative to frontier LLMs on tested compliance tasks
Turn expertise into coordinated action
Give investigators a prepared case, with the context to decide. A Manager Agent coordinates specialist Workers to assemble customer information, assess transactions and research external sources. Reduce L1 work while keeping investigators responsible for conclusions and escalation.
- Prepare evidence, risk indicators and draft narratives before an investigator opens the alert
- Carry findings between agents so each task builds on the work already completed
- Present decision-ready cases in SRI Investigation or return outputs to existing case systems
Reduce the effort spent resolving ambiguous name and transaction matches. Agents compare records, assess matched text and apply institutional policies to prepare evidence-backed recommendations. Investigators receive the rationale needed to assess sanctions exposure and decide.
- Distinguish people, organizations and locations using the context of each match
- Document disqualifying evidence and policy rationale to reduce repeated manual research
- Escalate unresolved matches with source evidence and clear reasons for further review
Improve screening decisions before teams begin researching a hit. The Watchlist Enrichment Agent adds identity, ownership and risk context to sparse records. Source-attributed intelligence helps teams distinguish genuine exposure from similar names, reducing research effort across reviews.
- Enrich identities and ownership structures using public records and external intelligence
- Check source credibility and recency so teams can assess the strength of evidence
- Link entries across lists to reveal relationships that isolated records can obscure
Close the gap between emerging intelligence and effective controls. Agents monitor threat and regulatory sources, assess relevance to institutional exposure and identify coverage gaps. Turn findings into recommended updates to detection logic, policies and workflows, with validation and approval before deployment.
- Translate new intelligence into structured findings linked to their original sources
- Prioritize coverage gaps and recommended changes against institutional risk and exposure
- Test proposed updates before governed deployment, with traceability from intelligence to action
Remove friction from onboarding and ongoing KYC. A Manager Agent coordinates specialists to build customer context, assess risk and pursue missing evidence as findings emerge. Prepare decision-ready assessments that reduce manual effort and support consistent reviews, while analysts retain control of critical decisions.
- Reduce evidence gathering across routine onboarding and complex enhanced due diligence
- Adapt reviews as new information emerges, keeping customer risk assessments current
- Apply policies consistently with traceable evidence, recommendations and human decision points
Built to scale value and retain control
FinCrime expertise. Regulator-ready design.
Put 25 years of financial crime expertise to work through agents purpose-built for highly regulated environments, with embedded governance that strengthens consistency and regulatory confidence.
Composable agent orchestration
Build workflows from reusable specialist agents. Manager Agents coordinate tasks and preserve context, helping teams extend automation without rebuilding each process from scratch.
Deterministic-first, LLM-agnostic design
Reserve LLM calls for reasoning. Execute rules and lookups deterministically, choose approved models and track token usage to control cost as agent workloads grow.
Governance embedded throughout
Scale automation within clear boundaries. Policy controls, least-privilege access and human checkpoints keep actions accountable, with traceable evidence and the ability to pause or stop.
DSLMs for cost and sovereignty
Lower inference costs with domain-specific language models tailored to FinCrime. Deploy within approved infrastructure to retain control over data, model updates and institutional adaptation.
Continuous evaluation and guardrails
Test agents against representative cases and challenging inputs. Scored outputs, drift monitoring and versioned evaluations help teams identify weaknesses and validate changes before deployment.
Results you can see
Explore customer results, analyst recognition, and the research advancing agent-led FinCrime & compliance.
From hours to minutes; a major US financial institution was able to eliminate highly manual processes and realize incredible efficiency gains.
From hours to minutes; a major US financial institution was able to eliminate highly manual processes and realize incredible efficiency gains.
Read case studySymphonyAI demonstrated how domain-specialized models can approach frontier-model performance on financial crime tasks, paving the way for more cost-efficient agent automation.
SymphonyAI demonstrated how domain-specialized models can approach frontier-model performance on financial crime tasks, paving the way for more cost-efficient agent automation.
Read newsAwarded for demonstrating how agents, orchestration, and governance come together to support a connected, scalable approach to compliance and risk management.
Awarded for demonstrating how agents, orchestration, and governance come together to support a connected, scalable approach to compliance and risk management.
Read newsProve the value. Expand with confidence.
Start with one workflow and measure the impact against your baseline.
Adapt agents to your operation and unlock more value from your existing systems.
● Reduce manual effort and increase capacity without growing workloads
● Improve consistency and focus expertise where it has the greatest impact
Symphony Risk Intelligence
SRI is an agent-native risk and compliance platform purpose built to transform FinCrime
Combining unified risk intelligence with end-to-end agentic orchestration, SRI enables compliance programs to stay current by design as regulations, threats, and business activity change.
SRI is built so customers can start where they need to, expand at their own pace, and scale across regions, lines of business, and use cases without friction.
Modernize your infrastructure with a cloud-native, evergreen platform that prepares your business for the era of agentic AI and continuous AI innovation.
Our solutions are built on 25 years of proven expertise on a global scale. That’s why we’re trusted by 33% of the world’s largest financial institutions.
Related resources
Explore agent-led compliance
SRI Agents FAQs
Explore how to build, govern and scale agents around your policies, with control over models, data and the decisions that require human judgment.
Yes. You can configure specialist Workers around your tasks, policies and tools. Manager Agents coordinate them into broader workflows. Shared context, reusable capabilities and embedded governance provide a foundation for extending automation as operational needs change.
Evaluate workflows against versioned datasets covering routine cases, edge cases and adversarial inputs. Scoring, execution traces and monitoring help identify failures and drift. Human checkpoints, confidence thresholds and escalation paths keep higher-risk actions subject to institutional oversight.
SRI uses a deterministic-first design. Rules, lookups and structured retrieval execute without LLM calls. Models support tasks requiring reasoning, within policy boundaries. This reduces unnecessary token consumption while preserving controls around probabilistic outputs, which still require evaluation and monitoring.
Yes. SRI Agents are LLM agnostic and can use approved model endpoints. SymphonyAI DSLMs offer specialized FinCrime reasoning with lower inference costs. Deployment design determines where inference, evidence and audit traces reside, with access and retention aligned to institutional requirements.
Update instructions and policy configurations, then validate behavior against agreed test cases before release. Version history and rollback support controlled change. Investigator feedback can inform evaluated improvements, helping teams adapt without allowing unreviewed changes to live agent behavior.
Redefine what your compliance teams can achieve
Put SRI Agents to work where manual effort limits capacity, with human control built in throughout.
