Advanced analytics to assist with proactive detection of fraud, waste, corruption and abuse.



The longer fraud perpetrators go undetected, the greater the financial and reputational harm they can cause to an organisation. Reactive investigations respond to specific allegations and are often focused on mitigating past malfeasance. Proactive detection of future events is often not considered. Establishing effective misconduct monitoring can be a monumental task in our data-driven world. Implementation of technology based solutions are often impeded by data volume and quality, disparate data sources, and inexperienced analytics practitioners.

Guard.ai is a cost effective solution which can help you work through these issues using flexible and scalable technology.
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Our approach


With three decades of experience working on some of the world’s largest fraud investigations, we recognise that a cost effective, flexible and scalable approach is critical to an effective misconduct monitoring solution.

Key components:

  • Short pilot studies to focus the efforts on existing risk areas. The insights from these pilots are then used to prioritise areas for monitoring.
  • Use of the organisation’s tools and technologies, where feasible, to limit licensing costs and delays.
  • Application of advanced analytics, such as machine learning and artificial intelligence, to identify anomalies and emerging issues with fewer false positives.
  • Case tracking to facilitate investigation in a prioritised and consistent manner for the resolution of high risk entities and transactions identified.

In addition to proactive fraud management, Guard.ai can also identify instances of the following:

  • Financial leakage;
  • Control weaknesses; and
  • Waste.
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