Financial Crime Risk Reduction
FCRR uses A.I.-driven Process Automation Solutions to streamline and optimise compliance processes and underlying operations across several vertical domains for FSIs. We deploy these solutions as managed services, to help our clients to define, implement and manage the controls and achieve regulatory compliance. We help our clients to make their compliance operations more effective and efficient.
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The Co-Pilot for your AM Operations
1 / Optimising Transaction Monitoring, Name Screening, Payments Sanctions Screening, Customer Risk Rating
Using Machine Learning models, deployable out of the box and pre-trained on more than 20 different data sets, platform- independent and pluggable into your existing detection tools and case investigations systems.
2 / End to end productised, fully white box X.AI, MLops embedded
Automated explainability with full audit trail, embeddable in case investigation ; full lifecycle model management ; aligned with Wolfsberg AI guidance.
3 / API-based micro-services platform
A full array of NLP, M.L. and A.I. tools and services, securely hosted in the cloud and easily callable via API’s
4 / Supported by world class advisory services
Top AML practitioners with banking, consulting and technology experience combine the micro-services to accelerate and optimise periodic reviews, remediations, Above the Line and Below the Line tuning, AML risk and coverage assessment, rules optimisation and independent reviews. Enhancing, augmenting, co-developing, and integrating with existing teams and systems.
A peep into what the tool can do...
"Financial Crimes make banking unnecessarily hard for the good guys. Let us help prevent the bad guys and you can focus on making banking better for all."
Filip Verbeke, Founder & Head of FCRR
Over 50% reduction in false positives for your sanctions screening and transaction monitoring
Superior accuracy through advanced fuzzy-matching technology
Our proprietary algorithms ensure accurate and effective matching, significantly reducing false positives
Leverage 150+ data points from each single transaction for enhanced screening
Improve on legacy systems limited to 3 data points with unprecedented nuanced detail per transaction
Save hours of investigation by focusing on relevant alert features
With explainable AI, FCRR helps investigators to quickly identify where to focus, enabling more efficient use of resources
Pick from a suite of models based on your institution's priorities
Uncover latent money laundering risk with AI-driven anomaly detection
Upgrade your rules-based TM system with score-based anomaly detection and report-ready natural language explanations
Reduce false positives by >50% with predictive outcome analysis for your sanctions and customer name screening
Our supervised machine learning models act as a double layer filter to your transaction monitoring to significantly reduce alert volume
Structure free text and achieve contextual understanding for better-targeted screening
Use named entity recognition models or LLMs for entity type-specific screening against current lists
Meet regulatory expectations with a proven model monitoring and management framework
Continuous and proactive model monitoring and updates guarantee regulatory compliance
Constant model monitoring to help your institution stay proactive in addressing ever-changing AML risks with model re-training
Open the black box of AI with full explainability
Every alert is assigned a fully explained prediction score to expedite and justify any action taken by the system or user
Fully aligned with AML regulations and new AI compliance frameworks
Peace of mind for your compliance and tech teams, with models abiding by all major regulatory frameworks
What people say about FCRR
When I discovered Complidata's FCRR, it felt like connecting two electric cables and seeing the power flow. It was a breakthrough that ignited my enthusiasm. We’re making a significant impact, and for that, I’m grateful.
Alan Morley
Head of Anti-Financial Crimes and BSA at Huron Consulting
