AI4PI Award Showcase: Real-World AI That Improves Performance

Agenda (Draft – Updates in Progress)

AI4PI Award Showcase: Real-World AI That Improves Performance (Agenda)

Welcome & AI4PI Award Introduction (5 min)

• What is the AI4PI Award?
• How AI4PI recognizes responsible, results-driven AI innovation

Award-Winning Case Study: Secure Local AI for Organizational Performance (Carlos Menendez) (10 min)

How can organizations adopt AI while keeping their data secure?

• The organizational performance challenge
• Why a locally hosted LLM became the solution
• Implementation approach
• Business outcomes:
  • Secure, private enterprise AI
  • Lower implementation costs
  • Faster, customizable AI capabilities
  • A scalable model for responsible AI
• Lessons learned

From AI Tools to AI Performance: The AI4PI Journey (Lynne MacBain) (10 min)

How do organizations implement AI responsibly—and achieve measurable performance improvement?

• The vision behind the AI4PI initiative
• Why traditional Performance Improvement principles matter more than ever in the AI era
• The AI4PI framework:
  • Four guiding principles
  • Six-step implementation process
• Real examples of applying AI ethically, responsibly, and effectively
• Key lessons for practitioners

Interactive Discussion & Audience Q&A (30 min)

Bring your questions and SUBMIT THEM HERE:

• Selecting the right AI opportunities
• Responsible AI governance and human oversight
• Enterprise AI implementation
• Lessons learned from AI4PI award-winning work
• Practical advice for getting started

Closing (5 min)

• Key takeaways
• AI4PI resources and next steps