Webinar

Webinar: Breaking the Governance Bottleneck: Automating Risk Evaluation for New AI Projects

Watch live
February 11, 2026 @ 2:00 PM ET

As organizations scale from pilot projects to enterprise-wide adoption, the “AI Committee” bottleneck has become a critical challenge. The traditional workflow – requiring teams to manually author and endlessly update dozens of pages of risk documentation – imposes a heavy overhead on builders and often results in static, outdated risk assessments.

This webinar introduces a new capability from Pacific AI designed to streamline both the intake and the ongoing lifecycle of AI systems. By leveraging a specialized GenAI agent trained on the latest global standards (NIST, EU AI Act, FDA), this module automates the risk analysis process. We will demonstrate how teams can simply upload project artifacts—spec documents, vendor marketing decks, or system overviews—to instantly generate:

  • Automated Risk Grading: Immediate classification of project risk levels based on intended use and audience to fast-track approvals, plus the generation of a risk registry.
  • Continuous Risk Management: Transforming risk assessment from a one-time gate into a dynamic process. As projects evolve. whether through new functionality or infrastructure changes, teams can simply update the documentation to automatically re-populate the risk registry and knowledge base.
  • Proactive Adaptation: The capability to periodically incorporate new risk types into the system, ensuring that even long-running AI projects are automatically evaluated against emerging threats without manual re-work.

Join us to see how automating risk evaluation allows governance teams to focus their expertise where it matters most, reducing the time-to-approval and ensuring compliance evolves as fast as your AI projects.

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About the speaker
Julio Bonnis
Principal Data Scientist, John Snow Labs

Julio Bonis is a data scientist working on NLP & LLM for Healthcare at John Snow Labs. Julio has broad experience in software development and design of complex data products within the scope of Real World Evidence (RWE) and Natural Language Processing (NLP).

He also has substantial clinical and management experience – including entrepreneurship and Medical Affairs. Julio is a medical doctor specialized in Family Medicine (registered GP), has an Executive MBA – IESE, an MSc in Bioinformatics, and an MSc in Epidemiology.