Real applications, validated through pilot engagements
Structured narratives showing how Syntheon addresses real operational challenges in compliance, risk management, and efficiency - with measurable outcomes and a structured audit trail across retrieval, decision and action.
AML Investigation Support
The Situation
A mid-tier European bank processes over 200,000 transactions daily across retail and corporate banking. Its AML screening system generates ~1,400 alerts per week, of which analysts manually review each one. Over 85% are false positives. Investigations take an average of 45 minutes per case, and the backlog grows faster than the team can clear it - creating regulatory exposure and analyst burnout.
Syntheon's Approach
We deployed a contextual risk-scoring model trained on two years of historical alert dispositions, enriched with counterparty data, behavioural patterns, and network analysis. The system re-scores every alert in real time, triaging them into three tiers: auto-close (low risk with full rationale), assisted review (pre-populated investigation with supporting evidence), and escalate (high-risk cases flagged for senior analysts).
62%
Reduction in false positives
45→12 min
Average investigation time
Documented
Audit trail coverage
3.2x
Analyst throughput increase
Illustrative target ranges. Actual results depend on workflow complexity, data quality and integration scope. Measured results are shared under NDA in discovery.
Business Impact
The compliance team cleared a six-week backlog within 10 days. Analysts shifted focus from repetitive triage to genuine risk investigations, improving both job satisfaction and regulatory defensibility. The system's explainability layer provided full rationale for every auto-closed alert - passing regulatory review without exceptions.
Automated Regulatory Reporting
The Situation
A regional asset management firm submits 14 distinct regulatory reports quarterly - spanning MiFID II transaction reporting, AIFMD disclosures, and Annex IV filings. Each report requires analysts to extract data from 6+ internal systems, manually reconcile figures, apply regulatory logic, and format outputs. The process consumes 320+ analyst hours per quarter, with a 4-8% error rate that triggers follow-up inquiries from regulators.
Syntheon's Approach
We built an automated reporting pipeline that connects to the firm's portfolio management, trading, and accounting systems. The system extracts relevant data, applies regulatory calculation logic (validated against published guidance), reconciles cross-system discrepancies, and generates submission-ready reports. Every calculation is traceable to source data, and discrepancies are flagged for human review before submission.
78%
Reduction in reporting hours
0.3%
Error rate (down from 4-8%)
2 days→4 hrs
Report generation time
Documented
Calculation traceability
Illustrative target ranges. Actual results depend on workflow complexity, data quality and integration scope. Measured results are shared under NDA in discovery.
Business Impact
The firm eliminated two weeks of quarterly reporting crunch. Analysts now spend their time on exception investigation rather than data assembly. The system caught three cross-system reconciliation errors in its first quarter that manual processes had historically missed - preventing potential regulatory inquiries.
Trade & Transaction Anomaly Detection
The Situation
A proprietary trading firm executes 50,000+ trades daily across equities, futures, and FX. Their existing surveillance system relies on static rules - threshold breaches, pattern matching - generating noise and missing nuanced anomalies. Two significant operational incidents in the prior year were only discovered during month-end reconciliation, resulting in $2.4M in losses and regulatory scrutiny.
Syntheon's Approach
We deployed an adaptive anomaly detection system that learns normal behavioural patterns per trader, desk, and instrument class. The model identifies statistical outliers across multiple dimensions - volume, timing, counterparty concentration, P&L deviation - and correlates signals across related trades. Detected anomalies are scored by severity and presented with full factor attribution, showing exactly why the system flagged each event.
94%
Detection accuracy on known anomalies
Real-time
Alert latency (vs. T+1)
73%
Fewer false alerts vs. rule-based system
12
Previously undetected patterns surfaced
Illustrative target ranges. Actual results depend on workflow complexity, data quality and integration scope. Measured results are shared under NDA in discovery.
Business Impact
Within the first month, the system identified a recurring pattern of late-day position adjustments that had evaded rule-based detection for over six months. The firm's risk committee credited the system with preventing an estimated $800K in potential losses. The explainable scoring gave compliance officers confidence to act on alerts without extensive manual investigation.
Energy & Operational Efficiency Analytics
The Situation
A large financial services firm operates 23 data centers and 180+ branch offices. Energy costs represent their third-largest operational expense at $18M annually, but they lack granular visibility into consumption patterns, waste sources, and optimisation opportunities. ESG reporting requirements add pressure to demonstrate measurable efficiency improvements to investors and regulators.
Syntheon's Approach
We integrated with the firm's building management systems, HVAC telemetry, server utilisation data, and energy metering infrastructure. Our models identify consumption patterns, detect waste (cooling inefficiencies, underutilised server clusters, HVAC scheduling gaps), and generate optimisation recommendations. The system also projects energy consumption scenarios under different operational configurations - supporting both cost reduction and ESG reporting.
14%
Reduction in energy costs (Year 1)
$2.5M
Projected annual savings
Automated
ESG energy reporting
37
Waste sources identified and addressed
Illustrative target ranges. Actual results depend on workflow complexity, data quality and integration scope. Measured results are shared under NDA in discovery.
Business Impact
The firm achieved its first measurable reduction in energy intensity per transaction - a key ESG metric for investors. The analytics platform identified that 22% of data center cooling capacity was serving decommissioned infrastructure, leading to an immediate reconfiguration that saved $400K in the first quarter alone. The automated ESG reporting reduced the sustainability team's quarterly workload by 60%.
See yourself in these scenarios?
Every organisation's challenges are unique, but the patterns are recognisable. Let's discuss how a focused pilot could address your specific operational needs.