Today, life sciences firms are facing increased regulatory complexity, huge volumes of data, and increased pressure to bring safe therapies to the market faster. As Veeva continues to expand AI capabilities across its Vault Platform, life sciences organizations are beginning to consider how agentic AI could reshape quality assurance (QA) and regulatory compliance functions.  

Veeva’s AI strategy now includes application-specific Vault AI Agents, which operate within Veeva applications using relevant application context, data, and content. The company has also introduced Veeva Falcon, an agentic platform designed to automate broader end-to-end work across drug development. For organizations responsible for quality and compliance (Q&C), this is an amazing shift toward proactive AI workflows that could change risk management and documentation, while also changing how teams approach audit readiness and human oversight.

As Veeva’s CEO Peter Gassner put it, “AI will fundamentally change how drugs are developed and how treatment decisions are made at the point of care.”  

What is an AI Agent? 

An AI agent acts as a proactive assistant that understands your environment and relevant business context. In a Quality System, that context could include SOPs and CAPAs, along with Change Controls and Deviations. With this knowledge, the AI agent can be more proactive or take initiative when given information rather than simply reacting to a prompt. For example, it could review trends in deviations for a particular batch and, based on past records, suggest potential root causes or prompt the user to initiate an investigation workflow. The user still has decision-making power, but the AI agent acts as a collaborator. 

Veeva’s current AI portfolio also reflects different levels of agentic capability. Vault AI Agents operate within individual applications using application-specific context, while Veeva Falcon is designed to support broader processes across drug development.

How Veeva’s AI Strategy is Evolving

Veeva has continued to expand AI capabilities across its Vault Platform and applications. Vault AI includes standard application-specific agents while also allowing organizations to configure or develop agents for their own needs. Because these agents operate within Vault, they can use relevant application data and content as context for their work.

Veeva has also introduced Falcon, an agentic platform designed to perform more extensive work across drug development processes. Initial Falcon use cases include work related to TMF document intake and quality control, regulatory health authority correspondence, and safety case intake and triage. Early-adopter availability for the initial Falcon agents is planned for November 2026.

For Quality organizations, Veeva’s expanding agentic capabilities reinforce the need to prepare the processes and underlying data that AI will depend on. Rather than preparing for a single release date, organizations should consider how their governance, data architecture, and validation approaches will support continued adoption as Veeva expands its AI portfolio.

The underpinning architecture for Vault AI uses Large Language Models (LLMs) from providers Anthropic and Amazon hosted on Amazon Bedrock. Veeva also supports customer-provided models through supported services such as Microsoft Azure AI Foundry. According to Veeva, this architecture allows organizations to use Veeva-delivered agents while also configuring or building agents for specific business needs.

Why It Matters for Q&C 

• Q&C has become increasingly too complex for purely manual oversight. Global operations and increasingly connected digital processes create a growing need for systems that can surface relevant information and support decision-making more efficiently.

For Q&C organizations in life sciences, the use of AI agents has the potential to provide significant benefits. 

• As AI capabilities become embedded within applications and workflows, Q&C teams have an opportunity to integrate oversight more directly into day-to-day processes. The potential value extends beyond automating individual tasks to helping teams identify relevant information earlier and make more informed decisions.
• Because Vault AI Agents can work with relevant application data and content, they can provide context-specific support that generic AI tools may not have. For Quality organizations, potential use cases could include identifying patterns in deviations or CAPAs and supporting audit or inspection readiness. Other use cases may emerge as Veeva expands its Quality-specific agentic capabilities.
• Companies can increasingly configure AI agents around their specific business needs rather than relying solely on generic AI tools, which is important in regulated environments. 

The conversation for Quality leaders is therefore beginning to shift. As agentic capabilities mature, the question is increasingly whether an organization’s processes and data are ready to support them responsibly.

Next Steps for Quality and Compliance Organizations 

As Veeva expands Vault AI and introduces additional agentic capabilities, Q&C organizations should assess whether their current environment can support AI responsibly and at scale. Recommended actions include:

• Evaluate data quality, system integrations, and process maturity to assess readiness. 
• Establish an AI governance model for your organization.
• Educate your organization on baseline AI literacy and be clear about human roles and responsibilities. 
• Validate AI-enabled workflows in accordance with 21 CFR Part 11 and EU Annex 11 to ensure accuracy, reliability, and traceability of electronic records and signatures. 
• Establish a risk-based approach for validating AI-enabled workflows, considering applicable requirements for electronic records and signatures as well as the intended use and risk of each AI capability.

Organizations should also consider process standardization and data foundations as part of AI readiness. Agentic tools depend on reliable underlying information and clearly defined processes to provide useful outputs, making existing Quality maturity an important part of the adoption equation.

Preparing for Veeva AI Agents 

Clarkston Consulting can help life sciences organizations prepare for this transformation by assessing current QMS maturity, establishing AI governance frameworks, validating system readiness, and designing responsible implementation roadmaps. As Veeva continues to expand its agentic capabilities, organizations will need to determine where AI can create meaningful value while maintaining appropriate governance and human oversight. Clarkston can help organizations build the foundation needed to adopt these capabilities responsibly as the Veeva AI ecosystem continues to evolve.

AI-assisted: A human led the content and final approval of this piece, with AI used to support ideation, drafting, editing, summarization, or repurposing.