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Tool · Transaction-Monitoring Thresholds

What should your AML monitoring
thresholds actually be?

Customer mix, geography exposure, and product set drive the threshold floors regulators expect — and the alert volume your AML team will have to clear. Slide and tap to model both at once. Numbers are practitioner calibration; the underlying obligation comes from EBA ML/TF Risk Factors Guidelines + 6AMLD.

Institution type
Customer mix
Geography risk
Product exposure
Monthly transaction count
50,0001,000 – 5,000,000
Average transaction size
€2k€50 – €50k

Dataset version 2026-05-06. No data is sent or stored. Computation runs locally.

Recommended thresholds

Calibrated against your customer mix, geography exposure, and product set. Aggregate rules sit alongside single-tx to catch structuring patterns.

Single transaction
0
€10,000
Daily aggregate
0
€30,000
Weekly aggregate
0
€100,000
Monthly aggregate
0
€300,000
Structuring (just-under)
0
€9,500
Operational impact
Daily alerts (p50)
0 / day
Daily alerts (p95)
0 / day (peak)
False-positive rate
0 –95%
AML analyst FTE
0.0 FTE
MLRO FTE
0.0 FTE

Calibrated at 18 min per alert investigation, 8 productive hours per analyst per day, 220 working days per year.

How we got there
  • Customer-mix base: mixed → single-tx €10,000 baseline before multipliers.
  • Geography (mixed-eea) multiplier: 1× — no adjustment.
  • Product exposure multiplier: 1.00× across 2 selected products.
  • Combined multiplier: 1.00× applied to all thresholds and alert estimates.
Practitioner notes
  • These are calibration anchors, not statute. The home-state NCA expects you to document why your thresholds are appropriate and to review them at least annually.
  • Aggregate thresholds (daily / weekly / monthly) catch structuring patterns the single-tx threshold misses on its own. Both rule families must be active.
  • For CASPs, additional on-chain heuristics (counterparty-cluster risk, mixer / privacy-coin exposure, age-of-address) layer on top of these fiat-style thresholds — see the EBA CASP guidance.
  • A 80–95% false-positive rate is normal in well-tuned systems. Tighter thresholds raise the FP rate sharply; this is the trade-off supervisors expect you to articulate.

For orientation only — not financial, legal, regulatory, or investment advice. Outputs are directional and based on generalised inputs. Decisions should be taken only after consultation with a qualified adviser on your specific facts — book the full assessment before acting on anything you read here.

Numbers shown exclude finconduit fees and any third-party costs (legal, audit, regulator-mandated experts, banking-relationship fees, document-translation, ongoing supervisory levies, or local agent / service-provider charges). Real-world authorisation budgets typically exceed the headline regulator-side numbers by a meaningful multiple.