Bespoke System Live

Continuous Assurance Engine

Background monitoring across a stream of activity no human could realistically watch — only the things that matter surface, with their evidence already attached.

Industry
Banks, fintech, B2B SaaS, manufacturing & facilities
Best for
Operators sitting on a firehose of events where the costly few are buried among the routine many
How we work

We sit with your business. We find the operational problem costing you the most. We build the system that fixes it.

The Problem

Fraud, drift and equipment failure share one shape — a tiny signal inside an ocean of normal activity. By the time a human notices, the damage is already booked. The analyst, the engineer, the data lead — all of them dread finding out too late. Most teams cope by sampling, and the things they miss are the things that hurt.

What We Built

A single engine ingests the live stream — card transactions, CRM events, sensor telemetry. The right detector picks up each event by source. Every flag carries its rule, its history, and the suggested action. Every decision lands in an immutable audit trail, keyed by case ID.

What Changed

The risks that hurt most — fraud, drift, equipment failure — started getting caught at volume. Investigators stopped triaging false positives by hand. They now receive cases with their evidence already attached. Mean time to detection dropped from days to seconds.

Example deployment

Three example deployments — same engine. Yours would be one of them, shaped to your business alone.

~840 events/min
Live activity · scoring in flight
engine v3.2 · 4 detectors active

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How it fits the three pillars

One system, three jobs.

Automation

Not the primary focus for this system.

Audit Trails

Every flag opens a case. The case holds the rule that fired, the surrounding history, the suggested action, and the operator who reviewed it. Written once, never edited. Disputes get answered by replay, not by recollection.

Anomaly Detection

Four detector families run in parallel. Rules catch hard thresholds. Statistical models catch drift. Pattern scoring catches fraud. Signal-processing reads vibration data. Each event picks the right detector for its source.

Analytics

A live sensitivity dial shows the trade-off between coverage and false positives. Weekly replays let the team count what would have been caught. The dial gets tuned against what the business actually wants to see.

Next Step

Want one built for your business?

The first conversation is free. And useful either way.