Many pharma and life sciences companies want to leverage the efficiency gains of generative Ai, yet they cannot afford inaccurate or unverifiable results in GxP-regulated processes (Good Manufacturing Practice and other Good Practice guidelines). With the new K.AI Assistant, Körber closes this gap by bringing trustworthy Ai to regulated environments. Operators, engineers, and quality teams can access compliant answers in seconds while reducing the risks typically associated with generic Ai tools.
“AI will only create value in life sciences operations if it can be trusted in GxP-critical processes,” said Shaun Tyler, VP Artificial Intelligence, Software, Körber Business Area Pharma. “With the new K.AI Assistant, we are bringing together trusted AI, regulatory compliance, and deep industry expertise to help manufacturers confidently scale AI across their operations.”
Life sciences require a different approach to Ai.
As pharmaceutical companies face growing pressure to improve productivity and accelerate digital transformation, many teams still spend valuable time searching through standard operating procedures, batch records, and compliance documentation. At the same time, generic Ai tools are often unsuitable for regulated environments because of high hallucination risks and the validation effort required to deploy them in GxP-critical processes.
Reliable answers for regulated processes.
Körber’s K.AI Assistant addresses these challenges by delivering reliable answers based on Körber product knowledge and customer-specific GxP documentation. Powered by PharmaGuardrails, the solution prevents inaccurate and out-of-scope responses, helping life sciences companies establish trusted Ai workflows in regulated environments.
New capabilities for faster responses.
The latest release introduces new capabilities including document upload, easy onboarding, improved communication management, an enhanced user experience, and intuitive natural-language interaction. Together, these features help reduce search times, accelerate operator productivity, simplify training, and support audit readiness across manufacturing and quality operations.
Native PAS-X MES integration further lowers adoption barriers by embedding K.AI Assistant into an already validated manufacturing environment, reducing validation effort and accelerating time-to-value. In addition, flexible headless integration enables companies to embed trusted Ai capabilities directly into existing applications, workflows, and digital ecosystems.
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