Triage queues never empty
Analysts close the same patterns hundreds of times a day. Genuine signals sit behind low-quality matches, escalations slow, response time degrades.
Challenge 01 — Alert fatigue
Your team drowns in false alerts.
The cost of a noisy compliance system isn’t the licence fee. It’s the analyst hours spent triaging signals that almost never turn into a SAR — and the audit risk that grows every week the queue stays uncleared.
What alert fatigue actually costs you.
Headcount as the only lever
The standard fix is hire more analysts. That scales linearly with alert volume — and breaks the moment a regulator changes a threshold.
A backlog the regulator can see
Aged alerts in the queue at the time of audit are the single easiest finding for an examiner to write up. Backlog becomes evidence of process failure.
Cut the noise, not the coverage.
DetectX® layers behavioural analysis and clustering on top of your existing rule set. Genuine signals stay; the long tail of false positives compresses. One Swiss retail bank measured a 98% reduction in alert volume without losing a single SAR.
Capability
Behavioural Analysis
Learns each customer’s normal pattern of activity, so deviations — not absolute thresholds — drive alerts.
CapabilityAlert Management
Audit-ready case workflow: every alert tracked, every disposition justified, every SLA met.
CapabilityPattern Recognition
Surfaces the typology behind a cluster of alerts so analysts close fifty cases at once instead of one at a time.
CapabilityClustering & Modelling
Groups alerts with shared signatures so a single review disposes of the entire cohort.
How alert fatigue shows up in your sector.
The pattern is universal; the specific triggers and the cost dynamics differ.
Banking
Transaction monitoring noise.
Retail and commercial banks run TM rules tuned conservatively to avoid regulatory criticism — the predictable result is volume that exceeds analyst capacity. Behavioural analysis on top of those rules narrows the field without dropping the rules themselves.
The Finnova case: a Swiss retail bank measured a 98% drop in false alerts after deploying DetectX® alongside their existing Finnova core, without removing a single regulator-required rule.
Insurance
Claims-fraud signal mixed with legitimate edge cases.
Insurers carry the same operational pain in a different shape: claims investigators triaging suspicious claims that are mostly legitimate. Pattern-recognition models surface the actual fraud rings beneath the noise.
Generali Switzerland: consolidated multiple point-solutions into DetectX® and turned investigator hours back into claims throughput.
Capital Markets
Sanctions screening throwing the same flags forever.
Asset managers and exchanges run name-screening at trade speed. The tolerance for false positives is near zero on the operations side and near infinite on the compliance side. DetectX® resolves the standoff by clustering near-duplicate matches and remembering past dispositions.
The Finnova case study.
Finnova Analytical Framework — 98% false-alert reduction
A Swiss retail bank rebuilt its compliance operations around DetectX® without removing a single regulator-required rule.
The impact of false positives in AML — and how to reduce them
The playbook the Finnova case made repeatable: detection layered on existing rules, not replacing them.
Not the right fit?
Stop drowning in alerts.
Bring your last month of alert volume to a 30-minute call. We’ll show you which clusters DetectX® would compress, against your own data.