What AI Can (and Can't) Do for Incident Investigations

Can AI improve root cause analysis and incident investigations, or is it creating new risks? AI is rapidly changing the way organizations work, but when it comes to incident investigations and Root Cause Analysis (RCA), faster doesn't always mean better. In this episode of the TapRooT® Podcast, Dan Verlinde, Mark Paradies, and Alex Paradies take a candid look at AI for investigations. They will discuss what it can do well, where it can go wrong, and why the human investigator still needs to be in the driver's seat. Viewers will learn about human oversight, investigation context, quality data, transparency, and guardrails are critical when applying AI to Root Cause Analysis. The discussion also explores how AI can be used with TapRooT®'s Root Cause Tree, Corrective Action Helper, and decades of human performance knowledge to assist investigators. The future of incident investigation isn't necessarily AI vs. humans. The real opportunity may be finding the right way for AI and investigators to work together.