A single missed transaction can become a multi-million dollar regulatory fine. Automate bank statement review to extract every transaction, surface suspicious patterns faster, and meet regulatory deadlines—with extraction accuracy your compliance team can defend to examiners.
Analyst hours burned on data entry · AML analysts spend hours per statement manually keying transactions into spreadsheets before the actual analysis can begin. With hundreds of reviews monthly, data entry consumes the time that should go to pattern detection.
Structured transactions slip through · Launderers split transactions to stay below reporting thresholds. Manual review under time pressure misses the patterns that connect dozens of small deposits into a single structured scheme.
Regulatory deadlines create impossible timelines · Regulators demand 24-hour turnaround on suspect account analysis. Manual extraction across 6–12 months of multi-account statements makes this deadline nearly impossible to meet consistently.
Inconsistent review quality across analysts · Two analysts reviewing the same statements often flag different transactions. Inconsistent methodology means inconsistent risk coverage—and examiners notice.
Multi-bank, multi-format chaos · Suspect accounts span multiple banks across jurisdictions. Scanned printouts, digital downloads, multi-language statements—each format requires different handling, and in-house parsers break when banks change layouts.
Every transaction is extracted with date, description, amount, and running balance. No sampling, no summarization. The complete transaction history is captured so your compliance analysis starts from complete data—critical when a single missed transaction can mean a missed SAR filing.
Analyze statements from any bank, any country, any format. Upload statements from multiple suspect accounts simultaneously. Digital PDFs, scanned printouts, multi-language documents—all processed through the same extraction pipeline with consistent output.
Identical inputs always produce identical results. Run the same statement twice, get the same data twice. When examiners question your methodology, reproducibility is your defense.
Two independent extraction engines—AI and rule-based—process every transaction simultaneously. Disagreements are flagged automatically. Balance math reconciles extracted totals against declared statement values, catching discrepancies before they become compliance gaps.
Export clean CSV, Excel, or structured JSON that feeds directly into your transaction monitoring system, case management platform, or regulatory reporting tools. No manual reformatting between extraction and analysis.
REST API handles high-volume batch processing for ongoing monitoring programs. Or connect your AI agent via Model Context Protocol to analyze statements conversationally: “Flag all transactions over $9,000 across these accounts.” “Identify circular transfers between Account A and Account B.”
Accurate extraction is the foundation—but the real value is what it enables. When every transaction is captured reliably across every account, your compliance team can analyze faster, catch more patterns, and defend their methodology to regulators.
Drag-and-drop PDFs through the web interface for ad hoc investigations, or integrate via REST API for ongoing monitoring programs. Upload statements from multiple accounts and banks simultaneously. Accepts any format—digital downloads, scanned copies, multi-language documents.
Two independent engines—AI and rule-based—extract transactions, dates, amounts, and balances simultaneously. Cross-validation catches errors automatically. Balance math verifies extracted totals against declared statement values.
Export structured data as CSV, Excel, or JSON for your transaction monitoring system or case management platform. Or let your AI agent query the data directly: “Show all cash deposits above $5,000 in the last 90 days.” Every transaction includes source page references for examiner verification.
Every hour an analyst spends on data entry is an hour not spent on actual pattern detection. When regulatory deadlines demand 24-hour turnaround, the extraction method determines whether your team can meet them.
Speed · Minutes per statement vs. hours of manual data entry before analysis can begin
Coverage · Every transaction captured deterministically—no missed transactions under time pressure
Consistency · Every analyst works from identical extracted data—no reviewer-to-reviewer variation
Deadlines · 24-hour turnaround on multi-account analysis becomes achievable at scale
Scalability · Handle hundreds of statement reviews monthly without proportional headcount increase
Reliability · Dual-engine verification vs. single-pass OCR that silently misses transactions—critical when completeness determines regulatory compliance
Structure · Clean JSON/CSV ready for monitoring systems vs. raw text dumps requiring manual cleanup
Bank coverage · Universal format support vs. limited compatibility requiring manual fallback
Verification · Automatic balance reconciliation catches extraction errors before they reach your analysis
Integration · REST API with batch processing for ongoing monitoring programs
Time to production · Integrate in days vs. 6+ months building and maintaining your own parser
Resilience · Bank format changes handled automatically—no weeks of extraction gaps while engineering updates parser logic
Multi-jurisdiction · Analyze statements from any country without building separate parsers per bank or language
Maintenance · Zero parser maintenance vs. ongoing engineering burden every time a bank updates their layout
Focus · Your engineering team builds compliance tools, not document parsers