Kivo will join a panel of life sciences and regulatory experts at an upcoming Regulatory Affairs Professionals Society event focused on real-world artificial intelligence use cases.
The RAPS San Francisco Bay Area Chapter event, titled Real-World Use of AI: Reports from Humans in the Loop, will take place on 29 July 2026 at MBC BioLabs in San Carlos, California.
The programme will bring together speakers from life sciences technology, regulatory affairs, clinical operations and startup environments to discuss practical examples of AI adoption in regulated settings.
AI in regulated life sciences workflows
The event will feature seven industry speakers sharing examples of AI implementation, regulatory strategy, GxP compliance, startup innovation and agentic AI.
Speakers listed for the programme include Michelle Wu, CEO and co-founder of NyquistAI, who will moderate the session, alongside representatives from iHealth Labs, Athagoras, MBC BioLabs, Kivo, Lexim AI, Weave and Artos.
Kivo will be represented by Kevin Tate, Chief Revenue Officer. The company provides a unified document and process management platform for life sciences teams, covering areas such as regulatory information management, clinical documentation, quality management and submission assembly.
“Figuring out how to put AI tools to work in a meaningful and consistent way is top of mind for every company right now,” said Tate.
He said the topic is especially important for drug development teams that need to maintain compliance and inspection readiness as they move toward more automated workflows.
Human-in-the-loop AI and GxP compliance
AI adoption in life sciences is advancing quickly, but regulated organisations face additional requirements around validation, data integrity, audit trails, electronic signatures and user accountability.
The RAPS session is expected to focus on how companies are using AI while keeping humans involved in regulated decisions and actions.
Kivo recently introduced Headless GxP, an agent-native architecture designed to allow AI tools to interact with regulated content systems while maintaining authentication, permissions, audit trails and human review.
The company describes the architecture as a way for life sciences teams to use AI across regulatory, clinical and quality operations without allowing automated tools to bypass compliance controls.
“Life sciences doesn’t need more hype around AI,” said Toban Zolman, CEO of Kivo. “It needs honest conversations about what works, what doesn’t, and how organisations can adopt AI in ways that strengthen compliance, improve operations, and ultimately help bring therapies to patients faster.”
Industry focus shifts from AI promise to AI practice
The event reflects a wider shift in the life sciences sector from general AI interest toward practical implementation. Companies are increasingly looking at how AI can support document review, regulatory submissions, clinical operations, quality processes and inspection readiness.
However, the sector’s regulatory requirements mean AI systems must be assessed not only for speed and accuracy, but also for traceability, governance and fit within validated processes.
For regulatory affairs and quality teams, the key question is not whether AI can produce useful outputs, but how those outputs are reviewed, controlled, documented and attributed to accountable human users.
More information about the event is available from RAPS.
FAQs
What event is Kivo attending?
Kivo is taking part in the RAPS San Francisco Bay Area Chapter event, Real-World Use of AI: Reports from Humans in the Loop, on 29 July 2026.
Where is the RAPS AI event taking place?
The event will take place at MBC BioLabs, 1030 Brittan Avenue, San Carlos, California.
Who will represent Kivo at the event?
Kevin Tate, Chief Revenue Officer at Kivo, is listed as one of the speakers.
Why is AI adoption complex in life sciences?
Life sciences companies must consider GxP compliance, audit trails, electronic signatures, validation, user permissions and inspection readiness when adopting AI tools.
What is Headless GxP?
Headless GxP is Kivo’s architecture for allowing AI tools to interact with regulated life sciences systems while maintaining compliance controls such as authentication, permissions, audit trails and human review.
