Artificial Intelligence has featured in several recent Veeva Vault releases, but 26R2 marks an important shift in how AI is being applied across the suite of applications. We have taken the plunge and delved into a deep dive of how the new release is impacting AI features.
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Claims Agent
One of the biggest challenges for Medical, Legal and Regulatory (MLR) teams is ensuring every promotional claim is appropriately substantiated with supporting evidence. Traditionally, this has relied on reviewers manually identifying claims, linking them to approved references and maintaining a governed Claims Library over time. The new Claims Agent is designed to automate much of this process.
Rather than relying solely on exact wording, the agent uses a Large Language Model (LLM) to identify promotional claims based on their meaning. It can recognise when the same claim has been expressed in different language, compare it against the organisation’s Claims Library and automatically annotate the document with potential matches.
Depending on what it finds, the agent responds differently. Importantly, reviewers remain in control. Rather than making regulatory decisions, the Claims Agent prepares the work, allowing MLR reviewers to validate, approve or reject the suggested links.
This represents a significant evolution in how AI can support regulated content. Instead of simply helping users search faster, Vault AI is beginning to understand the context of promotional claims and apply governance consistently across an organisation’s content.
To learn more about the Claims Agent, go to the Veeva Release page.
Scientific Statements Updates
26R2 introduces several enhancements to Scientific Statements, including Auto-linking, which helps connect statements with relevant references more efficiently. Deep delete capabilities provides greater control when removing statements and their related records. Auto-approve functionality allows eligible statements to progress automatically where appropriate.
These enhancements will continue to improve how Medical teams create, maintain and govern reusable scientific content. Auto-linking has the potential to reduce one of the more time-consuming parts of statement management: manually maintaining relationships between claims and supporting references. The ability to deep delete and manage related records more efficiently also provides greater control over content lifecycle management, helping teams keep their libraries clean and accurate. Meanwhile, auto-approval could help accelerate workflows by allowing teams to focus human review effort where it adds the most value.
See more on this update on the Veeva website.
Quick Check Agent
The Quick Check Agent will also receive a substantial refinement in 26R2, with improvements focused on reducing false positives and providing clearer, more objective findings. With 26R2, findings will be written as neutral observations describing exactly what has been detected, making them easier for reviewers to interpret and act upon. Veeva has also enhanced several individual checks, including spelling and grammar analysis, Important Safety Information (ISI), boxed warning detection and unsubscribe link validation.
Although these may appear to be relatively small enhancements, they address one of the biggest challenges organisations face when adopting AI: trust. If reviewers regularly encounter false positives or ambiguous recommendations, they quickly learn to ignore them. By improving precision and providing more transparent explanations, Veeva is helping reviewers gain confidence in AI-assisted quality checks.
If you’d like to learn more about the enhancements to the Quick Check Agent, click here to go to the Veeva Release page.
Content Agent
The Content Agent has also been enhanced to provide more dependable answers when reviewers ask questions about promotional content.
One particularly important improvement concerns regulatory questions. Instead of giving definitive opinions on whether a document complies with a regulation, the agent now explains what the document contains, describes the relevant regulatory expectations and leaves the compliance decision to the reviewer.
Reviewer Summaries have also been improved by providing evidence-based explanations for document complexity ratings, allowing reviewers to understand exactly which elements contributed to the assessment rather than relying on broad assumptions.
This can help your team with useful assistance without stepping beyond appropriate governance boundaries. Rather than making compliance decisions on behalf of reviewers, Vault AI surfaces relevant information, highlights potential issues and provides contextual guidance, allowing Medical, Legal and Regulatory (MLR) teams to make the final judgement.
To explore the Content Agent updates in more detail, please go to the Veeva Release page.
AI Across the Vault Platform
The new Vault AI tab provides users with a conversational interface for interacting with Vault data, while platform capabilities such as the Query Agent allow users to retrieve information using natural language rather than writing Vault Query Language (VQL). Additional improvements to document comparison and AI configuration continue to expand how organisations can adopt AI safely within governed environments.
We’re beginning to see AI move beyond simple productivity tools and into regulated business processes. If AI can consistently identify promotional claims, surface the correct supporting references, improve automated quality checks and help maintain a governed Claims Library, MLR teams can spend less time searching for evidence and more time evaluating scientific accuracy, medical validity and regulatory compliance.
How can Bright Affect help you?
As Vault AI continues to evolve, your organisation will need to consider more than simply enabling new features, and consider AI capabilities appropriately, ensuring users understand where AI can accelerate work while human expertise remains essential.
At Bright Affect, we help organisations review Vault capabilities, understand where they can deliver measurable value and help train them in a way that aligns with your team. If you’re planning your 26R2 upgrade or exploring Vault AI for the first time, we’d be happy to discuss how these new capabilities could fit into your organisation via the form below.
Otherwise, check out Veeva’s new AI updates on the Veeva release page.
