Clinical trial teams are under increasing pressure to manage complex protocols, fragmented systems and rising operational demands while maintaining data quality, compliance and study timelines. This webinar explores how a more structured clinical trial workflow can help reduce manual effort, improve coordination and support more consistent trial execution across sponsors, CROs and sites.
In this session, the featured speakers will walk through a practical, phased approach to clinical trial workflow optimization, one that builds the process foundation that teams need to operate more efficiently and establishes the infrastructure and guardrails required to deploy meaningful AI tools responsibly inside a regulated environment.
Attendees will learn how to identify the right workflow, establish appropriate guardrails for AI solutions and understand what a phased AI implementation looks like in practice. The webinar will also cover strategies for managing internal change and how each optimized process can serve as a foundation for broader automation and AI adoption across clinical trial programs. Whether evaluating workflow tools for the first time or already leveraging them, this session gives a concrete roadmap for moving forward, without trying to fix everything at once.
Register for this webinar to learn how clinical trial workflow strategies can reduce site burden, improve operational visibility and support more efficient trial execution.
Speakers
Jamie Beck, Head of Portfolio Expansion and New Services, AG Mednet
Jamie Beck brings more than 15 years of life sciences experience — spanning oncology, cardiometabolic, CNS, and immunology — to his role as Head of Portfolio Expansion and New Services at AG Mednet. Over that career, he has led the deployment of more than 100 protocols and technology setups, including work that facilitated drug approvals and the development of regulatory-approved eCOA forms. In his current role, Jamie drives strategic growth — identifying new service opportunities, shaping commercial strategy, and leading cross-functional teams through end-to-end trial technology implementation.
Message Presenter
Ella Stewart, Senior Product Manager, AG Mednet
Ella Stewart is a Senior Product Manager at AG Mednet, bringing a background in biomedical computing and experience in clinical trial technology spanning software engineering and product management. Prior to AG Mednet, Ella built and delivered capabilities for digital pathology systems at PathAI, supporting pathology reads in clinical trials and digital diagnostics. At AG Mednet, Ella partners with stakeholders and customers to define product strategy and drive the product lifecycle from discovery through launch on the Judi platform.
Message PresenterWho Should Attend?
This webinar will appeal to:
- Business Process Optimization and Enterprise Transformation Leaders responsible for continual process improvement
- Technology and Systems Teams supporting clinical trial platforms and workflow tools
- Trial Managers responsible for scaling large programs and cross-functional execution
- Clinical Operations Directors and Managers focused on streamlining processes and resource efficiency gains
- Quality and Compliance Leaders evaluating how to govern AI tools within regulated trial environments
- Any clinical trial professional navigating the transition from manual processes to AI-assisted trial management
What You Will Learn
Attendees will learn:
- How to evaluate current workflows and identify the right starting point for optimization, without taking on more than teams can manage
- What a phased implementation looks like, from scoping a single workflow to scaling a connected, optimized trial operation
- How to manage the change internally, building team alignment, stakeholder buy-in and adoption enablement at each phase before moving to the next
- Why optimized, documented workflows are the compliance infrastructure that responsible AI deployment in clinical trials requires and how to start building that foundation now
Xtalks Partner
AG Mednet
AG Mednet is the company behind Judi, a clinical trial process management platform designed for the AI era of regulated research. Judi provides an execution layer that structures how decisions move across people, systems, and organizations, giving AI the context and governance required to be useful in real trial workflows. By making execution observable and auditable by design, Judi turns complex trial operations into something that can be measured and improved. In addition to embedding native AI capabilities such as PHI redaction with human review, Judi serves as a governed delivery layer for internal and third-party AI point solutions, enabling them to operate inside live workflows with traceability, oversight, and control. Trusted by sponsors, CROs, and research partners worldwide, Judi supports thousands of active workflows across hundreds of trials, working alongside existing clinical systems and AI programs. For more information visit: www.judi.io.
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