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Roadmap to adopting AI agents
The successful integration of AI agents in enterprise operations requires a balanced, deliberate approach. Drawing from recent research in Strategic Integration (SI) and agentic AI adoption within large enterprises, the following best practices help maximize value, manage change effectively, and mitigate common pitfalls. Medable Agent Studio specifically streamlines this process by providing robust tools, no-code simplicity, and built-in compliance and security standards.


Guidance for using AI agents effectively
AI agents can play a range of roles, from acting as intelligent collaborators alongside people to independently executing entire workflows. Rooted in the principles of agentic AI, they excel at reasoning through problems, self-directing activities, and adapting to evolving contexts. Whether deployed to support individuals or to autonomously carry out operational tasks, agents enhance productivity, decision-making, and overall efficiency across a broad spectrum of use cases.


Eliminate clinical trial white space with the right AI strategy
It has become clear that our industry has reachedthe limits of human-only clinical development. As clinical trials have become increasingly complex, the endeavors that people alone can perform are no longer sufficient to generate the momentum needed to address the growing burden of human disease. This has led to longer drug development timelines and significant delays for patients. One large are of lost time is “white space,” definied simply as unproductive time caused by manual, sequential processes and fragmented data systems. Thankfully, a solution lies in agentic AI and its abilities to perform series of tasks.