Over the past two years, laboratory teams have explored generative AI solutions, paving the way for agentic AI to become operational by 2026. This transition will see AI embedded directly into laboratory workflows, enhancing data management and compliance. Unlike traditional chatbots, these coordinating AI agents will initiate workflows across various operations, streamlining processes in research and clinical settings. As Kalim Saliba from Dotmatics points out, a continuous data thread will emerge, ensuring data consistency and regulatory confidence. However, a global study reveals that only a fraction of AI agents are trusted for critical tasks due to governance issues. Moving forward, organizations must embrace agentic orchestration to enhance accountability and traceability in regulated environments. Life sciences businesses will need to prioritize integration of AI within existing systems for optimal performance. By 2026, the focus will shift from standalone tools to AI as integral to laboratory operations, accelerating discoveries while maintaining scientific rigor.
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