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      <image:title>Case studies - Creating real value with agentic Ai for the Life sciences industry. - Make it stand out</image:title>
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      <image:title>Case studies - From Test Methods to Executable LIMS Logic</image:title>
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      <image:title>Case studies - Designing a Regulated Architecture for Reusable Agentic Products - Context As organisations begin to explore agentic AI, the initial focus is often on individual use cases. A proof of concept is developed. A pilot is launched. A specific workflow is improved. But in regulated environments, this approach quickly reaches its limits. The real challenge is not building a single agentic solution. It is building an architecture that can support many — across different domains, teams, and levels of maturity — while still meeting the expectations of governance, validation, and operational control. In this case, a global life sciences manufacturer was not looking for another isolated AI solution. The objective was to establish a foundation that could support a portfolio of agentic products, from early experimentation through to enterprise deployment.</image:title>
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      <image:title>Blog - Agentic AI Strategy - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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