RegASK, a provider of AI-driven regulatory intelligence for Consumer Goods and Life Sciences, has launched the industry’s first agentic AI architecture that pairs RegASK’s vertical large language model (V-LLM) with specialized AI agents to deliver personalized insights and streamline how teams find, understand, and act on regulatory information. These agents each perform a distinct task, such as document retrieval, translation, summarization, and assessment generation. These agents are coordinated by a dedicated ‘project manager’ agent that manages how tasks are assigned and performed across the system, enabling collaborative execution of multi-step workflows. An evaluator agent reviews outputs before they’re delivered to users, helping ensure accuracy and build trust in the results. Together, the enhanced agent network and embedded V-LLM power deeper automation, more tailored insights, and the ability to manage a wider range of day-to-day compliance operations. The launch also brings: A more powerful, embedded vertical language model: RegASK’s domain-specific LLM is now fully integrated into the platform and enhanced with additional structured attributes. The model gives agents deeper context to generate faster, more precise summaries, assessments, and search results, delivering insights that are directly aligned to users’ regulatory priorities. Redesigned user interface with streamlined regulatory change tracking: RegASK’s redesigned user experience significantly improves how regulatory teams identify and respond to critical updates. The new alerts module delivers customizable alert views, streamlined navigation, and faster access to essential regulatory details, enabling professionals to efficiently manage compliance workflows, mitigate risk proactively, and keep their organizations ahead in highly regulated environments.