2026 Agenda
Where senior life sciences leaders come together to make the decisions that define enterprise AI success.
2026 Agenda
Where senior life sciences leaders come together to make the decisions that define enterprise AI success.
September 15, 2026
DAY 1
Executive Welcome Breakfast: Building the Trust Network
7:30 AM – 8:30 AM | Executive Breakfast
Kick off the summit with the leaders with the leaders accountable for enterprise AI adoption, regulatory posture, and operational performance.
Presented by:
TBD
The CEO Playbook for Enterprise AI: Where Governance Shows Up in the P&L
8:35 AM – 9:05 AM | Chairperson Welcome & Opening Address
How governance decisions directly affect approvals, margin, and the speed at which AI scales across the enterprise.
Key Takeaways:
The financial impact of validation and inspection readiness
What boards expect before approving AI at scale
Moving from pilots to enterprise-ready AI
Presented by:
Christine Jackson
VP, Digital Innovation & Platforms
9:05 AM – 9:40 AM | Executive Keynote
How leaders shorten validation cycles and embed governance without slowing AI deployment.
Key Takeaways:
Governance models that reduce validation time
Modernizing GxP frameworks for AI
Designing inspection-ready systems by default
Brought to you by:
9:45 AM – 10:45 AM | Operator Exchange: Trusted Solutions & Real-World Implementations
Direct conversations with partners deploying AI in regulated environments — focused on implementation realities, not demos.
Moderated by:
TBD
10:50 AM – 11:30 AM | Executive Leadership Panel Discussion
How organizations move beyond Responsible AI statements to governance models that drive accountability and performance.
Key Takeaways:
Structures that accelerate innovation while protecting approvals
Accountability models that scale across functions
Embedding trust into execution, not just policy
In Conversation with :
Michelle Arias
SVP, Digital Strategy & AI
Marcus Turner
VP of AI
Mayo Pujols
COO
Presented by:
Mitch Hayes
SVP & GM
11:30 PM – 12:05 PM | Industry Collaborator Session
How enterprise governance is built into daily operations so inspection readiness becomes a byproduct of execution, not a last-minute effort.
Key Takeaways:
Institutionalizing AI oversight across sites
Governance mechanisms that prevent deviations and rework
Executive readiness and performance metrics
12:10 PM – 1:10 PM | Collaborator Roundtables & Innovation Exchanges
Small group discussions where senior leaders pressure-test governance, validation, and deployment strategies.
Liza Riviera
Vp of Marketing
Human-in-the-Loop decision points
TBD
Audit-proof storytelling for regulators, boards, and investors
TBD
Data Integrity in the GenAI Era
TBD
The AI-Native Lab: accountable automation
Presented by:
TBD
1:15 AM – 1:50 AM | Case Study Keynote
A former regulator explains how inspectors evaluate AI programs and why leadership ownership and traceability matter most.
Key Takeaways:
What regulators prioritize during inspections
Documentation that signals control and confidence
A real-world recovery playbook that preserved approvals
Moderated by:
TBD
1:50 PM - 2:30 PM | Executive Leadership Panel Discussion
How validated AI improves profitability, inspection outcomes, and investor confidence.
Key Outcomes
How trust impacts inspection readiness and margin
Why validation is treated as a value driver, not overhead
What investors prioritize before funding AI initiatives
In Conversation with :
Daniel Kim
VP, Clinical AI & Data Platforms
Maia Brooks
EVP, Digital Innovation
TBD
Presented by:
TBD
2:30 PM – 3:05 PM | Industry Collaborator Session
How leaders define decision rights and human oversight as AI scales across the enterprise.
Key Takeaways:
Oversight models regulators trust
Clear decision rights across functions
Accountability frameworks that support performance
Brought to you by:
3:10 PM – 4:10 PM | Sip, Connect & Collaborate
A curated reception focused on live initiatives, deployment realities, and next-step partnerships.
Presented by:
TBD
4:15 PM – 4:50 PM | Afternoon Keynote
What upcoming regulatory expectations from FDA, EMA, and Health Canada mean for enterprise AI today.
Key Takeaways:
Immediate actions leaders must take
What inspection-ready systems look like in practice
Where regulatory risk is emerging
Presented by:
TBD
4:50 PM – 5:25 PM | Closing Case Study
How governance has become a competitive signal that drives customer trust, investor confidence, and disciplined execution.
Key Takeaways:
Why governance influences buying decisions
Trust indicators customers and investors watch
Embedding accountability across the enterprise
Presented by:
TBD
5:25 PM – 5:35 PM | Closing Address
A synthesis of Day 1 insights into an enterprise roadmap for scalable, inspection-ready AI.
Brought to you by:
5:45 PM – 7:15 PM | Evening Networking Reception
As sessions conclude, the summit floor transitions into The Trust Lounge, a private environment for senior leaders to reconnect, debrief the day, and stress-test who they want to work with next. Conversations here center on advancing enterprise initiatives, aligning on regulatory strategy, and exploring concrete commercial or investment opportunities.
Why Attend:
The most valuable partnerships are formed here, off-the-record exchanges that lead to real deals, joint programs, and investments that shape the next wave of innovation and trust.
Brought to you by:
7:30 | Invitation-Only Dinner (Off-Site)
A private, invitation-only dinner convening senior executives for candid dialogue and strategic relationship-building in an intimate off-site setting. This is where the leaders shaping the future of AI in life sciences connect directly, without microphones, slides, or formality.
Why Attend:
This is where strategy becomes personal and partnerships become commitments. Share the table with leaders influencing regulation, defining governance models, and driving enterprise AI adoption, and leave with relationships strong enough to move initiatives, budgets, and transformation agendas forward.
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