Clarkston’s Anna Ivashko and Nathan Keliher recently attended the 2026 Veeva Commercial Summit in Boston, which brought together commercial, medical, marketing operations, and IT leaders across the life sciences ecosystem to explore the next evolution of customer engagement, content, data, and AI.  

This year’s Summit centered on “Agentic Commercial and the Breakthrough of Commercial Evidence,” with Veeva emphasizing how digital channels, AI agents, field teams, and compliant content can work together to help life sciences organizations generate stronger evidence across commercial and medical interactions. Veeva delivered on its promises from last year’s summit, which included leaning heavily into AI and improving connectivity across the medical and commercial ecosystem.  

As AI continues to move from experimentation into enterprise-scale application, one of the most pressing opportunities for life sciences organizations is how to use it responsibly within highly regulated commercial environments. Sessions across the Summit highlighted capabilities tied to Veeva AI, Vault CRM, PromoMats, claims management, MLR speed, conversational AI, field-generated insights, and data-driven engagement. It was clear across these sessions that commercial teams are increasingly looking to build trusted, compliant evidence that improves decision-making and deepens engagement with HCPs and patients.  

Below, our team shares key takeaways from the 2026 Veeva Commercial Summit and explores how life sciences organizations can break through compliance barriers with AI while building a more connected, evidence-driven commercial ecosystem. 

Key Takeaways 

1. AI – Everything, Everywhere, All at Once 

The tag line says it all: while Veeva admits the experience for clients may look a bit chaotic, the roadmap reflects how AI capabilities are enhancing almost all parts of the Veeva ecosystem (Ostro, Agentic CRM, Agentic MLR,  Link AI).   

Additionally, Veeva is introducing Vault AI in August, a new tab that will allow conversational interaction by the users. The intent is to allow users to ask questions about what’s going on in their Vault environments, and over time, enable Vault AI to create shortcuts for repeatable activities, like running reports or analyzing data, to drive efficiency. Thinking bigger picture, several panels discussed how AI is democratizing expertise – with the right tools, the average worker now has the capability to be an expert.  

As AI capabilities become more embedded across the life sciences ecosystem, the differentiator will be less about access to the technology itself and more about how effectively organizations govern and operationalize it. Leaders should look beyond individual features and evaluate AI as a broader catalyst for operating model change. 

2. Free-Text Unleashing Commercial Evidence 

Veeva is leveraging AI to introduce free text to drive commercial evidence generation across its ecosystem. For sales teams, this looks like the expansion of Agentic CRM with conversational AI enabling bidirectional voice interactions (powered by ElevenLabs) to support call logging, scheduling, and prep. Text monitoring on the front end or back end is configurable, allowing organizations to meet compliance preferences.  

As Kavitha Parthasarathy of Corcept shared, “The goal is evolving CRM from system of record to system of guidance.”

For marketing teams, the best example of this shift is Veeva’s acquisition of Ostro and its conversational AI capabilities for HCP and patient engagement. Featured as “not gen AI, but precision AI,” Ostro’s capabilities were positioned as no hallucinations, 100% compliance, and a 12-weeks-or-less implementation timeline.  

Clients discussed this as a paradigm shift for website engagement and the historically positive connotation of “time on site.” Rather than optimizing for longer website visits, organizations are beginning to rethink digital engagement around speed and relevance. Stacey Stone of Pacira BioSciences said, “The websites we know today are not going to be the websites of the future. HCPs don’t need to be on there for a long time – they need to get to what they need.”  

Free-text interaction also allows for organizations to capture “commercial evidence” that can highlight content gaps, identify missed opportunities, and drive and inform marketing and brand team efforts to better meet HCP needs.   

This type of HCP engagement also allows organizations to surface engagement to the reps for more informed interactions. Geetha Parachuru of Gilead shared, “We’re using this technology to identify points where users are (figuratively) clicking zero to talk to an operator and launch ‘contact a rep’ to get a human in the loop to help with responses.” 

For many organizations, the greatest opportunity is the ability to surface insights that have historically been difficult to capture through structured reporting alone. To realize that value, organizations will need to define how those insights flow into business processes and translate into action. 

3. Criticality of Change Management   

Across Content Management and CRM tracks, the message was clear: the technical piece is easy, but bringing people along and shifting hearts and minds is the harder part of introducing AI tools.   

Common content reviewer concerns were “I’m worried that the decision would be tied to me from an obligation standpoint.” There were also fears around “Will AI take my job?”, “Can I trust AI?” and “Will it create more work for me?” Desk-side coaching and office hours were highlighted as helpful ways to demonstrate real examples, demystify the tools, and bring transparency to areas like false positives.  

User engagement early in the process is also key, especially for newer Veeva solutions like Patient Services CRM. Joseph Auci from Immedica Pharma captured this well, sharing “Earlier is better – have the users involved to make sure tools fit their needs. Don’t wait too long and put off implementation and end up using a spreadsheet at launch.”

AI-enabled capabilities should be treated as transformation initiatives, not standalone technology deployments. While the tools are advancing quickly, success will depend on how organizations manage adoption and redesign the processes around the technology. 

4. Unprecedented Partnerships for Unprecedented Times (Veeva / IQVIA)   

Another major theme from the Summit was Veeva’s new partnership with IQVIA – a significant and strategic shift for the organization and one that many (including members of the Veeva and IQVIA teams supporting the partnership) didn’t expect to happen.  

Veeva unveiled that the Veeva Network MDM is now the only MDM with an IQVIA network connector. IQVIA OneKey now has an integrated connection to Veeva MDM and Veeva Vault CRM, creating new opportunities for organizations to connect trusted customer data across commercial systems. 

Looking ahead on the roadmap, the Veeva and IQVIA teams are looking to expand the partnership further, including introducing capabilities for mastering complex hierarchies and creating views of these hierarchies by therapeutic area. The roadmap also includes enabling Network AI with four agents to support data management and stewardship.  

More integrated ecosystems can help reduce workflow friction and accelerate the deployment of new capabilities. Organizations should weigh those benefits against longer-term considerations such as architecture, flexibility, and vendor dependence. 

Looking Ahead 

While migration to Vault CRM continues to drum in the background, this Summit saw Veeva push its roadmap forward and encourage clients to follow the 150 organizations already on Vault CRM today toward a future that includes expanding these capabilities. From process improvement to experience innovation, Veeva is making a clear push across Medical, Marketing, and Sales to build and buy its AI ecosystem. To continue the conversation, reach out to our Veeva Commercial Consulting team.