eflow Global, a RegTech firm specialising in automated compliance and trade surveillance solutions, has launched PATH AI, a new AI-powered capability integrated into its TZTS Trade Surveillance system.
The company introduced the product in response to escalating regulatory pressure on financial institutions to strengthen their surveillance controls. With enforcement penalties for market abuse reaching $1.8bn across 163 cases in 2024, firms are under mounting scrutiny to demonstrate that their AI systems are transparent, explainable and aligned with regulatory expectations.
eflow Global provides a suite of RegTech solutions designed to help financial organisations manage regulatory obligations, automate surveillance workflows and meet evolving supervisory standards. Its platform supports firms in detecting suspicious trading patterns, documenting investigative activity and aligning internal processes with audit and reporting requirements.
PATH AI has been developed to enhance the efficiency and clarity of compliance investigations by providing explainable AI outputs embedded directly within the TZTS environment. The tool delivers contextualised insights, enabling users to interrogate trading alerts through conversational prompts that surface relevant data points, behavioural patterns and case histories. Each insight is fully traceable back to its source data, ensuring transparency for both regulators and senior management.
The product includes additional capabilities such as dynamic prompt suggestions, automatic generation of case summaries and a complete conversational history designed to support escalation and audit processes. Its ability to reference all underlying data addresses the regulator-highlighted concerns around ‘black box’ decisioning, allowing compliance professionals to demonstrate how conclusions were reached.
Additional details in the launch highlight that the system’s interface lets users explore whether traders have triggered similar alerts within particular periods, investigate linked behaviours and review fully documented reference points for reporting. This design reflects rising regulatory expectations from bodies such as the FCA, which has stressed the need for firms to articulate how AI models operate and justify their outputs.
eflow Global head of AI Ross Pearson said, “In developing PATH AI, we have made a conscious decision not to create just another AI copilot. PATH AI has been engineered to provide regulatory professionals with the contextualised insights that they need to use their expertise as effectively as possible. One of the main criticisms of how AI is being used in a regulatory context is that it creates a ‘black box’ in which decisions cannot be explained or evidenced. Financial institutions must be able to illustrate how they are using AI to prevent market abuse, and that’s what PATH AI enables them to do.”
The launch also follows eflow Global’s introduction of an AI-generated risk scoring function earlier in the year, underscoring the firm’s broader strategy to embed advanced technologies while retaining human oversight and regulatory accountability.
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