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

Scaling Agentic AI Past Pilots: Forward Impact Teams, Orchestration and Token Economics

• Explain how forward impact teams, embedded engineer and product pods, ship commercial MVPs in weeks instead of months
• Break down what changes when a pilot has to run at enterprise level: token economics, gateways and model orchestration, and how to avoid pilotitis
• Show where CFO-verifiable value is actually being extracted from agentic use cases
• Share one or two deployments, covering what worked and, equally important, what did not

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

• Decide whether to buy, build, rent or lease agentic capability, and what each path costs a regulated commercial organization
• Prepare the workforce before the technology, because a workforce that is not ready wastes even the best AI
• Contrast how agentic transformation plays out across prescription, medical device and consumer health under one chief AI officer
• Leave with practical steps you can start tomorrow, drawn from the room's own questions

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

Securing Agentic Systems: Access Control, Data Ownership and Third-Party Risk

• Define what an agent is permitted to reach, and enforce it at the data layer
• Assess model-provider and third-party risk before an agent touches commercial data
• Establish who owns the data an agent generates and where it may travel
• Anticipate the security review that now gates every commercial AI deployment

Orchestrating Next-Best-Action Across Marketing, Access and Patient Services

• Orchestrate one next action per customer across marketing, access and patient services instead of three competing plans
• Integrate fragmented diagnostic, referral and engagement signals so a rare disease brand acts on them as one
• Report what the customer experienced on the other end once an agent picks the action
• Distinguish efficiency gains from agentic work that changes patient outcomes without adding noise, bias or compliance risk

Industrializing Agentic AI: A Composable Factory Model for Enterprise Rollout

• Start from the business value a transformation must deliver before choosing any agentic technology
• Ground every new agent on a reusable foundation so the organization invests once in capabilities and expands from there
• Bring the team along so the transformation is owned inside the company instead of delivered by consultants in a silo
• Govern the estate at scale with monitoring that catches compliance gaps and token spend that outruns savings

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

The Agentic Frontier: A View From Inside the Lab

• Hear where frontier models are heading over the next twelve months
• Learn what a frontier lab sees working in regulated industries
• Ask what pharma commercial teams should prepare for now

Measuring Return on Agentic Investment: Token Economics, Attribution 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

Chairperson's Closing Remarks and the Twelve-Month Agenda