GxP Compliant AI: Modernizing Quality Management
The integration of AI into life sciences is no longer a vision of the future—it’s happening now. But as companies embrace AI-driven quality management, they face complex challenges in compliance, validation, and risk management.
Join us for an exclusive LinkedIn Live session where Bryan Ennis, Founder and Chief Quality Officer at Sware, will break down key insights into actionable steps.
What You’ll Learn:
- How AI is emerging in GxP-regulated environments
- Regulatory complexities & best practices for ensuring compliance
- Real-world case studies of AI-driven risk management and validation
- The future of AI in life sciences—what’s next and how to prepare
If you're a CIO, CQO, compliance leader, regulatory professional, or anyone looking to leverage AI while maintaining GxP integrity, this webinar is for you.
Featured Resources
The convergence of AI and Quality Management marks a paradigm shift in how Life Sciences organizations meet their GxP obligations. Examine key challenges—from compliance complexities and validation demands to talent shortages and risk management concerns.
Read the WhitepaperAs the life sciences landscape rapidly evolves, technology adoption demands agile validation methods to maintain GxP compliance. Learn how organizations can shift from project-based validation to a process-driven approach, integrating validation into their Quality Management System.
Read the WhitepaperManual computer software validation processes cost life sciences organizations up to 30% in additional project budget. As companies struggle to keep up with a surge of app and software integrations, they incur validation debt: the mounting cost of stretched resources, blanket testing, and missed GxP requirements.
Download the EbookValidation Debt Stops Here
If your organization is ready to embrace the future of life sciences validation, we’re ready to help.