AI is already inside the organizations you audit. Employees are using ChatGPT on their phones to draft emails, summarize documents, and brainstorm solutions. This isn't a future scenario. It's happening now, with or without governance.
Auditors don't need to become technologists. They need to lead the way AI is adopted, governed, and verified inside the institutions they protect. The same rigor, judgment, and commitment to accuracy that defines auditing is exactly what AI adoption requires.
In this keynote, Liz makes the case that auditors already have what this moment requires. She introduces the AI Coworker Blueprint, a framework for onboarding AI the same way you'd onboard a new team member: define the role, set scope, manage output, verify work, and hold it accountable. Research shows a 25% productivity increase and 40% improvement in work quality when AI is deployed strategically.
But the real opportunity isn't just efficiency. It's what happens when auditors get time back: leaders with space to actually lead, proactive service instead of reactive compliance, and innovation in how audits are delivered.
Why This Matters Now
The question isn't whether AI enters your organization. It's whether it's used well or recklessly. Auditors define "well." They already verify work, protect sensitive data, and navigate institutional complexity. AI doesn't replace any of that. It amplifies it.
The only question is whether auditors lead this transformation or watch someone else define it for them.
Ideal Audiences
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