Enhance risk management, detect fraud, and deliver personalized customer experiences with advanced analytics
Irish financial institutions face mounting pressure to manage risk, comply with regulations, and compete with fintech disruptors.
Traditional rule-based systems miss sophisticated fraud patterns. False positives waste resources. Real-time detection is difficult with manual processes.
Central Bank regulations, GDPR, AML requirements creating massive compliance overhead. Manual reporting is time-consuming and error-prone.
Data trapped in legacy systems. Unable to create unified customer view. Missing cross-sell opportunities and at-risk customers.
Traditional credit scoring misses nuances. Can't predict defaults accurately. Slow decision-making loses good customers to competitors.
Core banking systems are outdated but critical. Difficult to extract and integrate data. Can't leverage modern analytics tools effectively.
Customers switching to digital-first competitors. No early warning system for at-risk accounts. Reactive retention efforts come too late.
The Problem: Static rules can't adapt to evolving fraud tactics. High false positive rates. Fraudsters quickly learn to bypass known patterns.
The Problem: Labor-intensive, prone to errors. Can't keep pace with regulatory changes. Audit trails are incomplete or inconsistent.
The Problem: Based on limited variables. Misses modern indicators of creditworthiness. Slow to adapt to economic changes.
The Problem: Different departments have different views. No single source of truth. Can't deliver personalized experiences at scale.
Purpose-built solutions designed for Irish financial institutions and fintech companies.
Machine learning models that identify suspicious patterns in real-time and adapt to new fraud tactics.
Predictive models for credit risk, market risk, and operational risk assessment.
360-degree customer view with predictive analytics for churn, cross-sell, and lifetime value.
Automated regulatory reporting, AML monitoring, and audit trail management.
Team includes former risk analysts and compliance officers. Deep understanding of Irish Central Bank regulations and GDPR requirements.
Bank-level encryption, secure cloud infrastructure, role-based access controls. ISO 27001 compliant. Regular penetration testing.
Proven connectors to major core banking systems. No need to replace existing infrastructure. Works alongside your current technology stack.
Solutions designed with Central Bank, GDPR, and AML requirements from the ground up. Automated compliance reporting reduces regulatory burden.
Clients typically see 15-25% reduction in fraud losses and 40-60% reduction in compliance costs within first year.
Pilot projects deliver results in 6-8 weeks. Full implementation in 3-6 months. No lengthy enterprise software rollouts.
Combining advanced machine learning with deep financial services domain expertise.
Central Bank of Ireland regulations. GDPR data protection. AML/CTF requirements. PSD2 compliance. Complete audit trails. Regular compliance reviews.
What happens: Assess current systems, data landscape, and regulatory requirements.
Your involvement: Stakeholder interviews. System access for data assessment. Compliance documentation review.
Deliverable: Detailed assessment report with prioritized recommendations and compliance roadmap.
What happens: Connect to core systems. Build data pipelines. Launch pilot (e.g., fraud detection on subset of transactions).
Your involvement: Provide system credentials. Validate data mappings. Test pilot functionality.
Deliverable: Working pilot system demonstrating real-world value.
What happens: Train ML models on your historical data. Fine-tune for accuracy and compliance.
Your involvement: Subject matter expert validation. Feedback on model outputs. Compliance review.
Deliverable: Calibrated models meeting accuracy and regulatory requirements.
What happens: Expand to full production environment. Integration with existing workflows. User interface customization.
Your involvement: Change management. Process adjustments. User acceptance testing.
Deliverable: Fully deployed solution integrated with your operations.
What happens: Comprehensive training for analysts, compliance officers, and management. Complete documentation.
Your involvement: Attend training sessions. Review documentation. Practice workflows.
Deliverable: Trained team with SOPs, user guides, and compliance documentation.
What happens: Continuous model monitoring. Performance optimization. Regulatory updates. Monthly reviews.
Your involvement: Monthly stakeholder meetings. Feedback on system performance.
Deliverable: Ongoing support, model updates, and compliance assurance.
Consumer & Business Lending
Challenge: €1.2M annual fraud losses. Manual compliance processes consuming 40+ staff hours weekly. 12% loan default rate.
Solution: AI fraud detection, automated compliance reporting, and advanced credit risk models.
"The fraud detection system identified a sophisticated check fraud scheme that our manual processes completely missed. Prevented over €200K in losses."
We'll analyze your current risk management, fraud detection, and compliance processes and show you exactly where AI and analytics can deliver measurable improvements.
Typical response time: Within 4 business hours
We follow bank-level security protocols including encryption at rest and in transit, role-based access controls, and regular security audits. All solutions are designed to meet Central Bank, GDPR, and AML requirements. We provide complete audit trails and compliance documentation.
Yes. We have proven integration experience with major core banking platforms used in Ireland including Temenos, Finacle, and Oracle FLEXCUBE, as well as Irish-specific systems. We use secure APIs and data connectors that don't disrupt your existing operations.
After the calibration period, our fraud detection models typically achieve 90%+ detection accuracy while reducing false positives by 60-70% compared to rule-based systems. Models continuously improve as they learn from new data and feedback.
Most Irish financial institutions invest €30K-€100K for initial implementation (fraud detection, risk analytics, or compliance automation), with €2K-€6K/month for ongoing support, hosting, and model monitoring. Exact pricing depends on transaction volumes and specific requirements. We'll provide detailed pricing in your assessment.
