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AML & Compliance Monitoring Dashboard

Real-time anti-money laundering alert intelligence — typology breakdown, false positive reduction tracking, case disposition analysis, and SAR filing metrics — giving compliance teams visibility across the full alert lifecycle.

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AML & Compliance Monitoring Dashboard — interactive Power BI dashboard preview

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Audience

Who This Dashboard Is For

Ideal For

  • Financial institutions with AML transaction monitoring programs generating 500+ alerts per month
  • BSA/AML compliance officers, compliance managers, and risk team leads responsible for program effectiveness
  • Toronto-area financial institutions, correspondent banks, and credit unions operating under FINTRAC and FinCEN requirements
  • Compliance operations teams using Actimize, Oracle FCCM, Temenos, or similar TMS platforms with structured data exports
  • Financial institutions preparing for regulatory exams who need documented, automated KPI reporting on their AML program

Not Ideal For

  • Organizations with fewer than 200 alerts per month where a simple spreadsheet tracker is sufficient
  • Teams needing AI-based suspicious transaction detection — this dashboard reports on alerts already generated by your TMS
  • Non-financial businesses without formal AML/BSA obligations — the typology framework is specific to bank AML programs
By the numbers

Metrics That Drive Decisions

Real impact, clearly measured. These KPIs show the tangible outcomes of data-informed strategy.

Alerts Generated

1,847

Total transaction monitoring alerts generated in the current reporting period

▼ +12% vs prior month

False Positive Rate

34.2%

Percentage of alerts closed with no further action — a key AML efficiency metric

▲ Down 2.1pp MoM

Cases Escalated

127

Alert cases escalated to Level 2 review or SAR consideration by compliance officers

▼ +3 vs last period

SAR Filings MTD

18

Suspicious Activity Reports filed with FinCEN in the current month-to-date period

▲ Within FINCEN guidance

From challenge to success

From Alert Flood to Focused Compliance Intelligence

How we turned fragmented data into a single source of truth—and what we achieved.

The challenge

AML transaction monitoring systems generate thousands of alerts per month, but most compliance teams lack visibility into the patterns behind those alerts. Which typologies are driving volume? Is the false positive rate improving or degrading? Are high-risk customers being reviewed in time? Without structured analytics, BSA officers spend more time in spreadsheets than making risk decisions.

  • TMS systems generate raw alert exports but don't produce pattern analytics across typologies, risk tiers, or time periods
  • False positive rate is tracked manually — no continuous visibility into whether model tuning is improving or degrading alert quality
  • High-risk customer watch lists are managed in separate spreadsheets, disconnected from alert and case data
  • SAR filing volumes and timelines are tracked post-hoc in exports, not monitored live against regulatory deadlines

Our approach

We built a Power BI semantic model on top of your transaction monitoring system (TMS), case management platform, and customer risk data that surfaces alert patterns, case pipeline health, and SAR filing metrics in a single compliance dashboard — refreshed daily. The model gives BSA leadership the visibility they need to improve alert quality and demonstrate program effectiveness to regulators.

  • Connect to TMS alert exports (NICE Actimize, Oracle FCCM, or Temenos Fraud) via daily SFTP or API integration
  • Join alert data with case management records and customer risk tiers for end-to-end alert lifecycle visibility
  • Build composite customer risk scoring that aggregates alert history, account type, relationship age, and transaction patterns
  • Configure SAR deadline tracking with Power Automate alerts when cases exceed day-28 (30-day SAR filing window minus 2 days)

What we achieved

False positive rate reduced from 41% to 34.2% through data-driven model tuning recommendations
Compliance team review time per alert reduced by 35% through better prioritization of high-risk customer alerts
SAR deadline misses dropped to zero after implementing Power Automate calendar alerts at day 25
BSA officer reporting to senior management reduced from 4 hours monthly to 15-minute dashboard review
Regulatory exam preparation time cut by 60% — all required metrics available in structured exports from the dashboard
Results verifiedRead full case study

Frequently Asked Questions

Find answers to common questions about this dashboard and our process.

We support NICE Actimize (via SFTP export or AML direct connector), Oracle Financial Services AML (FCCM via Oracle Analytics integration), Temenos Fraud and Crime Management, and Verafin. For legacy systems or internally-built TMS platforms, we can work from structured daily CSV or parquet exports staged in Azure Blob Storage or SharePoint. The integration method is confirmed during the scoping call based on your system version and network security requirements.

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