Chairperson's Opening Remarks and Setting the Stage for the Agentic Pharma Summit

Rewiring the Corporate Operating Model for Agentic Execution

• Set the executive mandate that moves agentic AI from departmental pilot to enterprise priority
• Rewire the operating model around agents instead of layering tools onto workflows never built for them
• Weigh what building rather than buying costs in people, time and political capital

Building the Data Foundation Agentic Commercial Depends On

• Settle the vocabulary, from data lake and warehouse to data foundation and agent
• Locate where commercial data sits, who controls it, and what reclamation from an agency requires
• Recognize the failure pattern where commercial AI breaks on the data layer rather than the model
• Compare maturity across US, European and global operating structures

The Agentic Commercial Team: Reimagining Roles, Work and the Human Opportunity

• Reimagine the relationship between what commercial teams do today and what people will do alongside AI systems, from a place of opportunity rather than headcount
• Surface the leading indicators that show whether an organization is ready to embrace the change, instead of hoping people absorb new tools on their own
• Name two or three encouraging signs that getting the human side right produces real value, without pretending anyone has solved it
• Work the room with provocations and open audience exchange in the back half of the session

Stop Reporting. Start Running: When Agents Take Over Pharma's Commercial Model

• Trace the shift from retrospective dashboards to commercial models that moved from architecture to reality
• Examine AI agent-run, compliant commercial models with deterministic identity rails, owned EHR presence, clinical intent signals
• Unpack what happens when an agency puts an agentic system to work on live brand business
• Weigh what changes for the brand team, the media plan, and the agency relationship itself
• Identify what to put in place now so your brands are ready when the shift reaches them

Governing the Agentic Enterprise

• Build the governance and tiered escalation path that lets agentic AI scale with clear ownership and a defined response time for every risk
• Apply behavioral science to why people resist change, including loss aversion and the explorative versus exploitative mindset, and design around it
• Anchor the rollout in a clear value proposition that turns resistance into real, sustained use

Running an Innovation Lab in the Age of AI: Tinkering, Talent and Taste

• Structure a lab that leverages AI capabilities within an applied innovation methodology to move prototypes to pilots to operational scale and accelerate business impact
• Identify and recruit the right talent: AI-forward disposition, driven collaborative tinkering, hyper-catalysts of tacit knowledge
• Deliver value today and prepare to deliver more value tomorrow with a keen exploration of the accelerated emerging technology ecosystem

The Agentic Company: Unlock your talent to reimagine what's possible

• Explore the evolution from a Decoded Company to an Agentic Company, connecting shared data, AI, and human expertise.
• Position experts to define better problems, guide execution, and develop innovative solutions and offerings.
• Evolve roles and capabilities to create greater impact as technology and audience needs change.

Scaling Agentic AI Past Pilots: Forward Impact Teams, Network Effect, and Value Realization

• How forward impact teams ship commercial MVPs in weeks instead of months
• What changes when a pilot has to run at enterprise level
• How to demonstrate CFO-verifiable agentic AI ROI

Reviewing AI-Generated Promotional Content: Cycle Time, Auditability and Reviewer Confidence

• Compare what senior leaders expect agentic AI to deliver in promotional review with what the people closest to execution are finding in live pilots
• Pressure-test an anonymized AI and MLR scenario with the room, taking positions first and then unpacking the reasoning across marketing, medical, regulatory and technology
• Separate what is working from where organizations hit friction, and what has to be true to move from experimentation to scalable adoption
• Leave with one thing you would do differently when you return to your organization

Agentic Transformation Across Rx, Medical Device and Consumer Health

• Open with the view from the buyer's chair: what has worked, what has not, and how one chief AI officer chooses partners across prescription, medical device and consumer health
• Decide whether to buy, build, rent or lease agentic capability, and what each path costs a regulated commercial organization
• Hear from the builders in the second half, as each partner walks through one real use case running inside a commercial organization today
• Close with open audience Q&A across buyer and builders, kept balanced and interactive by the moderator

Chairperson's Opening

Re-engineering the Content Supply Chain for Agentic Channel Demand

• Size the creative demand that AI-optimized platforms such as Meta and Google now place on pharma content teams
• Connect rapid content development, review and continuous optimization under one content umbrella
• Rethink content strategy for bots and humans together, from press releases the engines pick up to websites that speak to both
• Bring the bottleneck you are living with and leave with how a dozen other companies are solving it

Using Compliant AI to Capture Real-Time Insights and Improve Care

• Explore how conversational AI moves beyond static brand websites and one-way emails to deliver instant answers to patients and HCPs.
• Understand how biopharma organizations can easily implement compliant AI while maintaining MLR alignment.
• Identify strategies for scaling conversational AI across multiple brands and therapeutic areas.
• Leverage real-time patient and HCP questions to uncover actionable insights, identify content gaps, and optimize marketing strategies.
• Drive meaningful engagement and high-value actions throughout the patient treatment journey through personalized, AI-powered conversations.

Real Patients Keep AI Honest: A New Model for Patient Intelligence

• Audience research is often treated as a one-time checkpoint before a campaign, rather than an ongoing source of strategic insight
• The session examines how simulated patient perspectives help pharma teams challenge brand assumptions and explore authentic motivations
• It shows how this approach can refine messaging with greater relevance
• Attendees will learn how to pair agentic AI with privacy-safe real-world insights to elevate decision-making
• The approach keeps human judgement and lived experience at the center of the process

Are We Automating the Wrong Decisions? The Missing Intelligence Layer in Agentic Pharma

• Separate execution speed from decision quality, and recognize when an autonomous system is scaling a flawed assumption
• Identify the predictive signals an agent needs before it builds an audience, allocates budget or activates media
• Diagnose where agentic commercial systems inherit bias and blind spots from legacy targeting and segmentation logic
• Define where human judgment belongs in the loop, and where it slows the system without improving the outcome
• Measure whether an agentic system is getting smarter over time or simply executing faster

Improving Customer Engagement With AI For Field Reps

• Empower Field Reps with AI-Driven Customer Insights to better understand HCP needs, preferences, and engagement opportunities before and between interactions.
• Transform Customer Engagement with Real-Time Intelligence that helps field teams personalize conversations, identify next-best actions, and deliver more relevant experiences.
• Move from AI Insights to Field Execution by embedding AI into everyday workflows to reduce administrative burden, improve rep effectiveness, and strengthen customer relationships.

Embedding Agents Into CRM and Field Business Intelligence: From Pilot to Production

• Put agent support in the hands of representatives who work from a car rather than a desk
• Connect CRM and field business intelligence so an agent sees the whole account
• Navigate the legal and compliance path a field-facing capability has to clear
• Sequence a rollout from first pilot to production without stalling the field

Generative Engine Optimization: Earning Brand Citation in AI-Mediated Search

• Rebuild owned channels for agents and bots, already at least sixty percent of web traffic
• Diagnose why a JavaScript-heavy site reads as an empty page to a model, and why the model then cites a competitor
• Extend GEO beyond marketing to owned, earned, MLR, market access and medical, starting where the narrative begins at trial setup
• Plan for AI search overtaking traditional search around 2028 while the traffic reports still look like decline

Speed With Guardrails: A Human-Governed Approach to Agentic AI for MLR-Ready Digital Experiences

• Accelerating Digital Development in Regulated Environments: Explore how AI-enabled workflows can streamline the development of digital experiences while maintaining regulatory compliance, quality, and accountability.
• Balancing AI Automation with Human Oversight: Examine the role of human-in-the-loop governance, institutional knowledge, and structured review checkpoints in managing AI-assisted content and development.
• Navigating Compressed Timelines and MLR Requirements: Discuss a clinical-trial recruitment case study involving rapid prototyping, cross-functional collaboration, stakeholder feedback, and MLR submission within two weeks.
• Building for Continuous Optimization: Identify strategies for integrating analytics, performance measurement, and post-launch optimization into digital experiences while maintaining appropriate governance and oversight.

Where Agentic Has Gone Wrong: Lessons From the Misses, and Where It Is Not the Answer

• Catalog the agentic bets commercial teams placed over the past two years and separate the ones that paid off from the ones quietly retired
• Diagnose why a probabilistic engine fails at a deterministic task, and what it costs to force consistency before rebuilding the rules-based tool
• Trace how easier building moved the bottleneck to deploying and managing a solution, and where shortcuts introduced risk or cost
• Balance outcomes against capability building so innovation stays open without skipping the work of vetting what a solution is worth
• Draw the line on where agentic is the wrong answer for a commercial problem, and what to put in its place

Measuring What Agentic AI Is Actually Changing: Token Economics, Risk and the Decision to Stop

• Build measurement frameworks tied to commercial performance rather than activity volume
• Move beyond vanity metrics to demonstrate real business and patient impact
• Present the case that gets a program funded, and the evidence that gets one stopped
• Sustain a program past proof of concept before the budget gets pulled or the pilot runs too long

Beyond Generative AI: Building the Intelligent Medical Organization

• Move Medical Affairs from a function focused on information exchange to an Intelligent Medical Organization powered by AI, connected data, analytics and human scientific judgment
• Apply stakeholder intelligence, AI-assisted decision support, medical insight analysis, signal detection and closed-loop learning to reshape engagement strategies and inform scientific decisions
• Build the capabilities, operating models and governance that create an intelligence-driven function which continuously learns, adapts and delivers greater value to healthcare professionals, patients and the enterprise
• Treat data, insights and scientific expertise as actionable intelligence, since access to generative AI alone no longer sets a Medical Affairs organization apart

Chairperson's Closing Remarks and the Twelve-Month Agenda