Streamlined Processes and Adaptive Workflows for Superior Results

September 22, 2026 | Free PEX Network Webinar Series
Craig Willis

Craig Willis

Head of Process Improvement Solutions Netcall
Craig Willis

Craig has spent over 20 years liberating organisations from the pain of poor business processes. The secret to better processes lies in improving cross functional communications and making better use of data. This requires processes that are simple to understand, easy to use and valuable for everyone. In his role at Netcall, Craig advises customers on how to empower the workforce to find and implement process improvements at scale. This includes how to rapidly identify opportunities, assess them and design and implement solutions using the Liberty platform

Day One

10:00 AM From Process Map to AI Roadmap: How transformation leaders decide what to automate (and what not to)

AI is creating new opportunities for process transformation, but success starts with understanding which processes should be automated, augmented, or left in human hands. In this session, Craig Willis explores how process excellence helps organizations make smarter AI decisions, identify high-value use cases, and avoid unnecessary complexity and cost.

Joined by James Rawlinson, Director of Health Informatics at University Hospitals Sussex NHS Foundation Trust, Craig will share a real-world healthcare transformation story. Learn how the Trust improved patient engagement and contact centre performance through AI-powered self-service, intelligent routing, automated appointment management, and multilingual support, reducing wait times and dramatically improving the patient experience.

Key takeaways:

  • How process excellence guides successful AI adoption
  • Identifying the right opportunities for AI, automation, and human intervention
  • Designing scalable, human-in-the-loop processes
  • Reducing costs by avoiding unnecessary AI deployment
  • Lessons from the NHS on improving service delivery, efficiency, and patient engagement through intelligent automation