‹ Real-Time AML Screening and Sanctions Compliance for Banks

Compliance Software

AI-Powered AML Solutions for Banks

Artificial intelligence is reshaping how banks detect, manage, and report financial crime. Facctum’s AI-powered AML solutions enable faster, more accurate risk detection while maintaining transparency and regulatory compliance. Designed for global financial institutions, our platform uses explainable AI to optimise screening, sanctions management, and alert decisioning, reducing manual workload while increasing control.

EU Sanctions Roundup: What does July–August 2025 reveal about global risk?
Read the full analysis here.
Join us at Singapore Fintech Festival 2025 and let’s drive the future of compliance together!
Facctum partners with Taidalos to power next-gen adverse media screening and elevate compliance precision.
Read About the Partnership
Everest Group's Leading 50™ Financial Crime and Compliance (FCC) Technology Providers 2025.
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Solutions

Industries

Resources

Company

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Everest Group's Leading 50™ Financial Crime and Compliance (FCC) Technology Providers 2025.
Find Out More
EU Sanctions Roundup: What does July–August 2025 reveal about global risk?
Read the full analysis here.
Join us at Singapore Fintech Festival 2025 and let’s drive the future of compliance together!

EU Sanctions Roundup: What does July–August 2025 reveal about global risk?
Read the full analysis here.
Join us at Singapore Fintech Festival 2025 and let’s drive the future of compliance together!
Facctum partners with Taidalos to power next-gen adverse media screening and elevate compliance precision.
Read About the Partnership
Everest Group's Leading 50™ Financial Crime and Compliance (FCC) Technology Providers 2025.
Find Out More

Solutions

Industries

Resources

Company

Request a Demo

EU Sanctions Roundup: What does July–August 2025 reveal about global risk?
Read the full analysis here.
Join us at Singapore Fintech Festival 2025 and let’s drive the future of compliance together!
Facctum partners with Taidalos to power next-gen adverse media screening and elevate compliance precision.
Read About the Partnership
Everest Group's Leading 50™ Financial Crime and Compliance (FCC) Technology Providers 2025.
Find Out More

Solutions

Industries

Resources

Company

Request a Demo

Solutions

Industries

Resources

Company

Request a Demo

Everest Group's Leading 50™ Financial Crime and Compliance (FCC) Technology Providers 2025.
Find Out More
EU Sanctions Roundup: What does July–August 2025 reveal about global risk?
Read the full analysis here.
Join us at Singapore Fintech Festival 2025 and let’s drive the future of compliance together!

Why Banks Are Adopting AI in AML Compliance

Traditional rule-based AML systems struggle to keep pace with modern financial networks. False positives, delayed investigations, and manual inefficiencies consume resources without improving detection accuracy. AI-driven platforms address these gaps by learning from patterns, continuously optimising, and scaling across regions. Global guidance such as the FATF Recommendations and the FCA’s Financial Crime Guide recognise the value of technology in achieving effective, risk-based compliance.

Common AML Challenges in Banks

Despite large compliance investments, many banks still experience inefficiencies across their AML operations.

High False Positives

Outdated matching logic generates unnecessary alerts, diverting analysts from true risk cases.

High False Positives

Outdated matching logic generates unnecessary alerts, diverting analysts from true risk cases.

High False Positives

Outdated matching logic generates unnecessary alerts, diverting analysts from true risk cases.

High False Positives

Outdated matching logic generates unnecessary alerts, diverting analysts from true risk cases.

Limited Explainability

Opaque AI or black-box models make it difficult for banks to justify risk decisions to regulators.

Limited Explainability

Opaque AI or black-box models make it difficult for banks to justify risk decisions to regulators.

Limited Explainability

Opaque AI or black-box models make it difficult for banks to justify risk decisions to regulators.

Limited Explainability

Opaque AI or black-box models make it difficult for banks to justify risk decisions to regulators.

Data Silos

Fragmented systems slow investigations and prevent a unified view of customer or transaction risk.

Data Silos

Fragmented systems slow investigations and prevent a unified view of customer or transaction risk.

Data Silos

Fragmented systems slow investigations and prevent a unified view of customer or transaction risk.

Data Silos

Fragmented systems slow investigations and prevent a unified view of customer or transaction risk.

Manual Investigations

Analysts spend hours reviewing alerts, delaying legitimate transactions and increasing operational costs.

How Facctum’s AI-Powered AML Solutions Work

Facctum’s AI-powered AML platform combines advanced analytics, natural language processing, and explainable machine learning to enhance every part of the compliance lifecycle, from onboarding and screening to alert management and reporting.

Watchlist Management

AI automatically standardises and enriches sanctions, PEP, and regulatory lists for greater accuracy. Learn more about Watchlist Management.

Customer Screening

AI-enhanced fuzzy matching reduces false positives while retaining sensitivity to real risks. Transparent scoring and evidence trails support audit readiness. Explore Customer Screening.

Payment Screening

High-speed AI models detect suspicious transactions in real time with minimal latency, maintaining compliance without interrupting payment flows. See Payment Screening.

Alert Adjudication

AI prioritises alerts, recommends actions, and documents reasoning for each outcome. Teams gain faster closure rates and regulator-ready transparency. Discover Alert Adjudication.

Why Banks Choose AI-Powered AML Solutions

AI delivers measurable efficiency, accuracy, and governance benefits across compliance operations.

Accuracy and Precision

Context-aware matching and risk-scoring reduce false positives by recognising linguistic, geographic, and entity-based variations.

Accuracy and Precision

Context-aware matching and risk-scoring reduce false positives by recognising linguistic, geographic, and entity-based variations.

Accuracy and Precision

Context-aware matching and risk-scoring reduce false positives by recognising linguistic, geographic, and entity-based variations.

Accuracy and Precision

Context-aware matching and risk-scoring reduce false positives by recognising linguistic, geographic, and entity-based variations.

Speed and Scalability

Parallel processing and continuous learning keep screening performance high during peak volumes or new market expansion.

Speed and Scalability

Parallel processing and continuous learning keep screening performance high during peak volumes or new market expansion.

Speed and Scalability

Parallel processing and continuous learning keep screening performance high during peak volumes or new market expansion.

Speed and Scalability

Parallel processing and continuous learning keep screening performance high during peak volumes or new market expansion.

Explainability

Each AI decision includes visible reasoning fields, enabling compliance teams to demonstrate accountability to supervisors.

Explainability

Each AI decision includes visible reasoning fields, enabling compliance teams to demonstrate accountability to supervisors.

Explainability

Each AI decision includes visible reasoning fields, enabling compliance teams to demonstrate accountability to supervisors.

Explainability

Each AI decision includes visible reasoning fields, enabling compliance teams to demonstrate accountability to supervisors.

Operational Efficiency

Automation reduces manual review time and helps analysts focus on complex, high-risk investigations.

Operational Efficiency

Automation reduces manual review time and helps analysts focus on complex, high-risk investigations.

Operational Efficiency

Automation reduces manual review time and helps analysts focus on complex, high-risk investigations.

Operational Efficiency

Automation reduces manual review time and helps analysts focus on complex, high-risk investigations.

Key Use Cases for AI in AML Compliance

AI helps banks adapt to evolving typologies and achieve compliance effectiveness across functions.

Sanctions Screening Optimisation

Dynamic learning models adjust thresholds and filters automatically to maintain high precision during sanctions updates.

Transaction Risk Detection

AI identifies hidden patterns and anomalies across transactions, improving risk-based decision-making.

Alert Reduction

Machine learning refines matching algorithms using historical feedback, cutting false alerts over time.

Real-Time Monitoring

Continuous analysis supports instant risk assessment for payments and onboarding without slowing processing.

Core Features of AI-Powered AML Solutions

Facctum’s platform combines automation, intelligence, and governance for reliable, regulator-aligned AML operations.

Explainable AI Engine

Provides transparent reasoning for every decision, improving trust with regulators and auditors.

Adaptive Learning

Models evolve continuously based on investigation outcomes and typology shifts.

Contextual Matching

Understands names, languages, and entity types across jurisdictions for improved accuracy.

Workflow Integration

AI-driven insights feed directly into alert and case management systems for seamless operations.

AI-Powered AML FAQs for Banks

The solution brings together automation, accuracy, and explainability to deliver operational and regulatory confidence.

How does AI improve AML effectiveness?

AI analyses large datasets to detect hidden patterns, improving accuracy and reducing false positives.

Are AI-driven AML tools regulator-approved?

Yes. Supervisors such as the FCA and EBA support AI adoption as long as transparency, explainability, and auditability are maintained.

Can AI replace human analysts?

No. AI augments analysts by automating repetitive work and providing context-aware insights that support human decision-making.

How is explainability achieved in Facctum’s AI models?

Each decision includes evidence, confidence scores, and reasoning paths, making it easy to justify outcomes to regulators.

How does AI improve AML effectiveness?

AI analyses large datasets to detect hidden patterns, improving accuracy and reducing false positives.

Are AI-driven AML tools regulator-approved?

Yes. Supervisors such as the FCA and EBA support AI adoption as long as transparency, explainability, and auditability are maintained.

Can AI replace human analysts?

No. AI augments analysts by automating repetitive work and providing context-aware insights that support human decision-making.

How is explainability achieved in Facctum’s AI models?

Each decision includes evidence, confidence scores, and reasoning paths, making it easy to justify outcomes to regulators.

How does AI improve AML effectiveness?

AI analyses large datasets to detect hidden patterns, improving accuracy and reducing false positives.

Are AI-driven AML tools regulator-approved?

Yes. Supervisors such as the FCA and EBA support AI adoption as long as transparency, explainability, and auditability are maintained.

Can AI replace human analysts?

No. AI augments analysts by automating repetitive work and providing context-aware insights that support human decision-making.

How is explainability achieved in Facctum’s AI models?

Each decision includes evidence, confidence scores, and reasoning paths, making it easy to justify outcomes to regulators.

How does AI improve AML effectiveness?

AI analyses large datasets to detect hidden patterns, improving accuracy and reducing false positives.

Are AI-driven AML tools regulator-approved?

Yes. Supervisors such as the FCA and EBA support AI adoption as long as transparency, explainability, and auditability are maintained.

Can AI replace human analysts?

No. AI augments analysts by automating repetitive work and providing context-aware insights that support human decision-making.

How is explainability achieved in Facctum’s AI models?

Each decision includes evidence, confidence scores, and reasoning paths, making it easy to justify outcomes to regulators.

How does AI improve AML effectiveness?

AI analyses large datasets to detect hidden patterns, improving accuracy and reducing false positives.

Are AI-driven AML tools regulator-approved?

Yes. Supervisors such as the FCA and EBA support AI adoption as long as transparency, explainability, and auditability are maintained.

Can AI replace human analysts?

No. AI augments analysts by automating repetitive work and providing context-aware insights that support human decision-making.

How is explainability achieved in Facctum’s AI models?

Each decision includes evidence, confidence scores, and reasoning paths, making it easy to justify outcomes to regulators.

How does AI improve AML effectiveness?

AI analyses large datasets to detect hidden patterns, improving accuracy and reducing false positives.

Are AI-driven AML tools regulator-approved?

Yes. Supervisors such as the FCA and EBA support AI adoption as long as transparency, explainability, and auditability are maintained.

Can AI replace human analysts?

No. AI augments analysts by automating repetitive work and providing context-aware insights that support human decision-making.

How is explainability achieved in Facctum’s AI models?

Each decision includes evidence, confidence scores, and reasoning paths, making it easy to justify outcomes to regulators.

Ready to Enhance AML Compliance at Your Bank?

Facctum enables banks to stay ahead of financial crime with AI-powered AML solutions that deliver speed, precision, and regulatory confidence. Streamline screening, monitoring, and reporting with intelligent automation built for modern banking.

Request a Demo