From Alert Overload to Focused Investigation

AI is used in compliance surveillance to reduce review burden, improve alert prioritisation and help analysts focus on higher-risk activity. It can support false-positive reduction, summarise alert context, score alerts based on risk and suggest next steps for review.

SteelEye applies AI through a phased approach, starting with better data foundations and alert quality before introducing AI-assisted review, controlled automation and contextual detection. This helps firms improve efficiency while maintaining human oversight, governance and control.

Regulators expect firms to use AI in a way that is transparent, explainable, governed and defensible. Approaches vary across jurisdictions, but SteelEye’s phased approach is designed to help firms adopt AI without losing control of surveillance decisions. It supports governance, traceability and auditability by keeping human oversight central to the review process.

Firms can adopt AI in compliance by taking a phased approach that enhances existing surveillance frameworks rather than replacing them. This allows compliance teams to build on existing policies, lexica and review processes while introducing AI where it can deliver measurable value.

SteelEye helps firms start by centralising evidence and improving alert quality, before moving into AI-assisted review, controlled automation and contextual detection. Firms can adopt capabilities at a pace that reflects their risk appetite, governance maturity and operational priorities.