AI that knows FinCrime prevention

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AI that stands up to scrutiny.

Engineered for the world’s most regulated environments, SymphonyAI helps financial institutions detect threats earlier, act decisively, and maintain superior compliance at scale and speed.

Financial Crime Management Solutions
Absa uses AI to outsmart financial crime
AI transformed entity screening speed, accuracy, and explainability
“SymphonyAI keeps us at the forefront of financial crime detection and compliance now and in the future”
AI boosts efficiency and surfaces real risks
“As one of the first institutions using the full capabilities of SymphonyAI software, Metro Bank is well positioned as a market leader in modern financial crime prevention.”
UOB logo with red grid-like pattern on the left and dark blue letters UOB on the right.Mizuho logo with blue text and red underline curved upward.Allianz logo with the name in blue and three vertical bars inside a circle.Metro Bank logo with a large red letter M and black text 'ETRO BANK' on white background.Absa logo in red, featuring the word 'absa' surrounded by a broken circular ring.OCBC logo in red featuring stylized circular emblem and bold uppercase letters OCBC.
85%

Fewer false positives

70%

Faster investigations

50%

Reduction in manual reviews

<50ms

Fraud detection and scoring latency

Reduce risk exposure, accelerate investigations, and stay ahead of regulatory change. From fraud detection to reporting, SymphonyAI connects alerts, workflows, and systems to eliminate gaps, reduce manual work, and deliver results teams can defend.

No black boxes, no guesswork. Just accurate, auditable outcomes with full control. It’s AI that turns insight into action and makes compliance move faster.

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Chief Compliance Officer
Audit-ready logic. End-to-end workflows. AI that’s accountable, not a black box.
Centralized view of investigations
SymphonyAI dashboard showing financial profile and machine learning scores for John Rolands Inc. Subject risk level is medium. Financial profile lists source of funds as trading income, annual income of USD 225,000, and unexplained difference in funds of 290,000 per year. Machine learning scores include risk similarity, anomaly detection, change in behavior, and hotspot with colored progress bars. A side panel titled Transactions Intelligence notes transaction activity nearly twice the declared income, suggesting possible undisclosed revenue sources, and offers actions: initiate source of funds verification, flag for enhanced due diligence, and expand network risk assessment, with a text box to ask about another issue.
Capabilities
  • End-to-end transaction monitoring: AI- and rules-driven detection surfaces high-risk activity while minimizing false positives
  • Intelligent KYC/CDD with automated risk scoring: Ensure consistent, risk-based decisions from onboarding through review without manual work
  • Auditable decision logic: Simplify audits and satisfy regulators with clear, explainable reasoning behind every decision
  • Centralized investigations: Unify alerts, data, and actions into one shared workspace
  • Advanced sanctions screening: Reduce noise by combining AI and policy-driven logic to surface high-risk entities
Outcomes
  • Up to 80% reduction in false positives
  • Faster SAR filings and regulatory response
  • Consistent onboarding, due diligence, and screening
  • Defensible, auditable decisions across the compliance lifecycle
Blue shield icon with an exclamation mark inside, symbolizing security alert or warning.Gray shield icon inside a circular border.
Chief Risk Officer
AI that evolves with risk—surfacing threats, tracing accountability, and closing gaps before they widen.
Links explorer
Diagram showing John Rolands Inc. with ongoing investigations and financial data. It includes three people: Phyllis Godley (10%), John Rolands, Kristen Barbe, and Hanna Burress connected with financial amounts and percentages. A chat box on the right titled Links Explorer asks if John Rolands Inc. should be escalated, recommending escalation due to high-risk connections, suspicious transactions, and ongoing investigations, followed by a prompt to summarize the investigation history.
Capabilities
  • Real-time fraud detection with adaptive risk scoring: Surface emerging threats faster with scoring models that evolve alongside fraud patterns
  • Dynamic sanctions and PEP screening: Faster, more accurate screening pulls from both internal systems and external watchlists
  • Continuous adverse media and third-party monitoring: Track media, ownership changes, and partner risk signals as they emerge
  • Centralized case management: Gain enterprise-wide visibility with a unified view of high-risk activity, case progression, and decision accountability
Outcomes
  • More accurate fraud detection with fewer false positives
  • Real-time threat identification and response times
  • Early warning on reputational and sanctions risk
  • End-to-end traceability across your solutions stack
Blue microchip icon inside a dark circular background.Black microchip icon centered inside a thick gray circular border.
Chief Information Officer
Modular apps. Hybrid-cloud architecture. End-to-end traceability baked in.
AML agents
Screenshot of SymphonyAI application dashboard showing Agent Work Summary with completed tasks analyzing transaction context, gathering relevant data, evaluating regulatory policy, and generating report, each with options for step detail and asking agent; AI Investigation Summary assessing a $45,000 payment from London Imports to Volga Trading Inc. highlighting compliance concerns due to family links to a sanctioned individual, recommending further investigation; Transactions Intelligence pane listing data sources used such as internal transaction records, sanctions lists from OFAC, EU, UN, and ownership databases, with options to export audit trail for compliance review and ask about another issue.
Capabilities
  • Streamlined deployment: Modular applications deploy in weeks—not months—without heavy customization or endless POCs
  • Seamless integration with legacy and modern systems: Reduce complexity and avoid disruption by connecting directly to your existing tech stack
  • Hybrid-cloud architecture with enterprise-grade security: Scale securely across environments with architecture designed for flexibility, compliance, and performance
  • Transparent, explainable AI: Maintain trust with AI that’s fully traceable, auditable, and compliant with internal controls and regulatory expectations
Outcomes
  • Shorter time to value across AML, KYC, Sanctions and fraud systems
  • Simplified integration across infrastructure and tools
  • Stronger IT governance and regulatory compliance alignment
  • AI you can trust to scale securely
Audit-ready logic. End-to-end workflows. AI that’s accountable, not a black box.
Centralized view of investigations
SymphonyAI dashboard showing financial profile and machine learning scores for John Rolands Inc. Subject risk level is medium. Financial profile lists source of funds as trading income, annual income of USD 225,000, and unexplained difference in funds of 290,000 per year. Machine learning scores include risk similarity, anomaly detection, change in behavior, and hotspot with colored progress bars. A side panel titled Transactions Intelligence notes transaction activity nearly twice the declared income, suggesting possible undisclosed revenue sources, and offers actions: initiate source of funds verification, flag for enhanced due diligence, and expand network risk assessment, with a text box to ask about another issue.
Capabilities
  • End-to-end transaction monitoring: AI- and rules-driven detection surfaces high-risk activity while minimizing false positives
  • Intelligent KYC/CDD with automated risk scoring: Ensure consistent, risk-based decisions from onboarding through review without manual work
  • Auditable decision logic: Simplify audits and satisfy regulators with clear, explainable reasoning behind every decision
  • Centralized investigations: Unify alerts, data, and actions into one shared workspace
  • Advanced sanctions screening: Reduce noise by combining AI and policy-driven logic to surface high-risk entities
Outcomes
  • Up to 80% reduction in false positives
  • Faster SAR filings and regulatory response
  • Consistent onboarding, due diligence, and screening
  • Defensible, auditable decisions across the compliance lifecycle
AI that evolves with risk—surfacing threats, tracing accountability, and closing gaps before they widen.
Links explorer
Diagram showing John Rolands Inc. with ongoing investigations and financial data. It includes three people: Phyllis Godley (10%), John Rolands, Kristen Barbe, and Hanna Burress connected with financial amounts and percentages. A chat box on the right titled Links Explorer asks if John Rolands Inc. should be escalated, recommending escalation due to high-risk connections, suspicious transactions, and ongoing investigations, followed by a prompt to summarize the investigation history.
Capabilities
  • Real-time fraud detection with adaptive risk scoring: Surface emerging threats faster with scoring models that evolve alongside fraud patterns
  • Dynamic sanctions and PEP screening: Faster, more accurate screening pulls from both internal systems and external watchlists
  • Continuous adverse media and third-party monitoring: Track media, ownership changes, and partner risk signals as they emerge
  • Centralized case management: Gain enterprise-wide visibility with a unified view of high-risk activity, case progression, and decision accountability
Outcomes
  • More accurate fraud detection with fewer false positives
  • Real-time threat identification and response times
  • Early warning on reputational and sanctions risk
  • End-to-end traceability across your solutions stack
Modular apps. Hybrid-cloud architecture. End-to-end traceability baked in.
AML agents
Screenshot of SymphonyAI application dashboard showing Agent Work Summary with completed tasks analyzing transaction context, gathering relevant data, evaluating regulatory policy, and generating report, each with options for step detail and asking agent; AI Investigation Summary assessing a $45,000 payment from London Imports to Volga Trading Inc. highlighting compliance concerns due to family links to a sanctioned individual, recommending further investigation; Transactions Intelligence pane listing data sources used such as internal transaction records, sanctions lists from OFAC, EU, UN, and ownership databases, with options to export audit trail for compliance review and ask about another issue.
Capabilities
  • Streamlined deployment: Modular applications deploy in weeks—not months—without heavy customization or endless POCs
  • Seamless integration with legacy and modern systems: Reduce complexity and avoid disruption by connecting directly to your existing tech stack
  • Hybrid-cloud architecture with enterprise-grade security: Scale securely across environments with architecture designed for flexibility, compliance, and performance
  • Transparent, explainable AI: Maintain trust with AI that’s fully traceable, auditable, and compliant with internal controls and regulatory expectations
Outcomes
  • Shorter time to value across AML, KYC, Sanctions and fraud systems
  • Simplified integration across infrastructure and tools
  • Stronger IT governance and regulatory compliance alignment
  • AI you can trust to scale securely
Our AI agents know fincrime prevention
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Deep Research
Investigates people and businesses to uncover UBOs, connections, and risks—saving up to 18 hours per case
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Name Screening Agent
Cuts false positives by up to 80% with accurate name screening that integrates seamlessly into existing watchlist tools
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Transactions Intelligence
Extracts and summarizes financial activity into pivot-ready reports with AI insights
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Workflow Audits
Creates clear audit logs, capturing decisions, tools, and errors
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Sanctions Risk Analysis
Monitors global advisories and analyzes internal data to flag emerging sanctions exposure
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Web Research Agent
Automates web-based investigations to boost research speed, coverage, and consistency
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SAR Narrative
Drafts clear, policy-aligned SAR narratives in seconds—saving hours of manual writing
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Case Overview
An AI agent pulls together case data into a single view to speed up reviews and triage

Financial crime is evolving. Outsmart it with AI that keeps pace.

SymphonyAI helps your team move faster, reduce exposure, and stay in control.

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