3-day Virtual Seminar

AI in CRO Operations

Overview

AI in CRO Operations explores how generative AI can fit into the fast-moving, multi-stakeholder environment of a Contract Research Organisation. The session looks at common operational pressures - high information volumes, repeated communications, coordination across functions and the need to deliver efficiently for sponsors - and considers where AI can provide sensible support.

Attendees will examine ways to approach AI-assisted information organisation, internal drafting, summarisation, meeting follow-up and workflow support. The webinar also considers issues that are particularly relevant to CRO environments, including sponsor expectations, vendor and subcontractor use, confidentiality, inconsistent AI practices across teams, verification of outputs and responsibility for work produced with AI assistance.

Scenarios and examples are presented within the webinar to help attendees translate the principles into their own CRO environment.

Why you should Attend

For CROs, inefficient AI adoption can create problems on both sides of the sponsor relationship. Different teams may use different tools, sensitive information may be handled inconsistently, and inaccurate AI-generated content can create additional review rather than genuine efficiency.

As AI becomes embedded in everyday software and workflows, CRO professionals need to understand what responsible use looks like before informal habits become operational risk. This webinar helps attendees identify worthwhile uses of generative AI while maintaining the controls, judgement and consistency expected by sponsors and regulated clients.

Areas Covered in the Session

• Identify areas of CRO operations where generative AI can support productivity, information handling and routine administrative work
  
• Explore AI-assisted approaches to internal drafting, summarisation, meeting follow-up, action tracking and cross-functional communication
  
• Use clearer prompts to improve consistency by defining purpose, audience, context, boundaries and expected outputs
  
• Recognise inaccurate, incomplete or misleading AI outputs and understand why human verification remains necessary
  
• Consider sponsor expectations and how AI use may affect trust, consistency and accountability across outsourced trial activities
  
• Understand confidentiality and data-handling considerations when CRO teams work with sponsor, site, participant or proprietary information
  
• Examine risks created when AI is embedded in third-party, vendor or subcontractor tools used within CRO workflows
  
• Reduce fragmented adoption by establishing clearer team boundaries, governance and escalation routes for AI use
  
• Balance operational efficiency with quality, compliance and human responsibility when integrating AI into CRO working practices
  

Who Will Benefit

• CRO Clinical Operations Professionals
  
• Clinical Project Managers and Programme Managers
  
• Clinical Trial Managers
  
• Clinical Research Associates (CRAs)
  
• Study Start-Up and Site Management Teams
  
• CRO Quality and Compliance Professionals
  
• Regulatory and Clinical Documentation Teams
  
• Vendor and Outsourcing Management Professionals
  
• CRO Leaders responsible for operations, innovation or AI adoption