Fraud & Anomaly Detection for Government & Public Sector

Rules encode known fraud patterns precisely; models catch the novel ones. Every system worth running uses both, and we are explicit about which is doing what.

In government & public sector, procurement, data sovereignty and accessibility obligations shape the architecture before anything else. That single fact reshapes how fraud & anomaly detection has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is records digitisation, usually integrated against legacy record systems. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Multi-model by default, so a provider outage is a routing decision rather than an incident. We hand over with runbooks, tests and a team that knows how it works, not a dependency.