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RegASK unveils AI command centre for regulatory affairs

Newsflash Asia

- October 17, 2025

RegASK, a Singapore-based leader in agentic AI, has launched the Action Hub, the first vertical agentic AI command centre designed specifically for regulatory affairs. This innovative platform integrates RegASK’s agent network and AI workflows into a single workspace, enabling regulatory teams to automate routine tasks and make faster, data-driven decisions. The Action Hub is designed to mirror existing workflows, eliminating technical barriers and enhancing productivity.

The Action Hub functions as a digital command centre, where multiple AI agents work in parallel to handle tasks such as research, impact assessment, and stakeholder communication. By embedding automation into familiar workflows, the platform allows regulatory professionals to manage updates and generate audit-ready insights swiftly. “With Action Hub, we’ve made vertical agentic AI accessible and intuitive for every regulatory professional,” said Amenallah Reghimi, Chief Product and Technology Officer at RegASK.

Key innovations of the Action Hub include the Business Context Framework, which allows organisations to personalise regulatory alerts with company-specific metadata, and Impact Analysis with Context Engineering, which provides hyper-personalised assessments for regulatory alerts. Additionally, the Workflow Orchestration feature transforms compliance activities into streamlined workflows, whilst the Near Real-Time RegGenius offers immediate AI analysis of uploaded documents.

Caroline Shleifer, Founder and CEO of RegASK, stated, “This launch reflects our broader mission to transform regulatory affairs from a reactive compliance function into a strategic business enabler.” By unifying AI agents, data, and decision-making, RegASK aims to help organisations improve compliance outcomes and strengthen business resilience in a complex global landscape.

This story was selected and published by a human editor, with content adapted from original press material using AI tools. Spot an error? Report it here.

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