WEBINAR

Would Your AI Survive an Audit?

The Question Every Lab Should Be Asking

Join us Thursday, October 22nd at 1:00 PM ET as we break down what makes an AI answer defensible. You'll leave with a six-question self check to find the traceability gaps in your lab before an auditor does.

Would Your AI Survive an Audit? Webinar, Thursday October 22, 2026, 1:00 PM ET
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INTRODUCING

Second of Four Part Series on AI in the Laboratory - Brought to You by Confience

Picture an inspector pointing at a result and asking how your lab got there. Some labs pull up the full trail in minutes, others can piece it together after a few days of digging, and some find out that nobody in the room can explain where the software's suggestion came from.

Which one is yours? This second session of our four part series covers what a defensible AI answer looks like, how to tell an assistant that holds up under audit from one that turns into a finding, and a six-question self check you can take back to your team.

Practical, non technical, and built for lab people.

What You'll Learn in 35 minutes

  • The questions auditors and client qualifications are starting to ask about AI, and the one that decides the whole conversation
  • What makes an AI answer defensible, from a source you can open in one click to an honest "I could not find that"
  • What happens to your audit trail when an AI tool suggests something and leaves no record of it
  • A six-question self check to find where traceability breaks in your lab, from where records live to how long it takes to reconstruct one sample
  • What to look for in your next vendor demo to know whether an AI answer would hold up in front of an inspector

Featured Speakers