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Contents

Regulated industries depend on documentation that remains accurate, controlled, and audit-ready for years — sometimes decades. AI promises speed and efficiency, but in high-risk sectors “good enough” can quickly become unsafe. This session examines where AI quietly fails in technical documentation: hallucinated instructions, outdated references, version mixing, and non-compliant phrasing that slips past automated checks.

Drawing on real patterns seen across life sciences, energy, manufacturing, and public-sector programs at Acolad, we’ll explore practical ways to govern AI-generated content without slowing delivery. You’ll see how human judgment, review escalation, metadata discipline, and traceability frameworks reduce risk while maintaining efficiency. By the end, attendees will have a clear model for implementing safe, reliable AI workflows that keep documentation compliant from creation through audit.

Takeaways

Learn how to detect AI risks, apply human-in-the-loop safeguards, and create compliant, audit-ready documentation workflows.

Prior knowledge

Attendees should know the fundamentals so we can focus on failure modes, governance models, and practical safeguards.