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Most audit firms are already “using AI.”

The problem is that most are stuck at the weakest level—prompting—and mistakenly think they’re further along than they are.

We are in our CPE events teaching reality clearly: there are three very different ways to improve AI, and only one of them changes the source of truth 

If you want AI that holds up under partner review, peer review, and PCAOB inspection, your staff must progress deliberately through all three stages.

Stage 1: Prompting — “Tell the AI What to Do”

What it is

Artificial Intelligence is everywhere you look — buzzwords, vendor pitches, slide decks full of pretty diagrams — but ask most auditors what actually moves the needle in their work, and you’ll hear a lot of uncertainty:“What does this mean for my audit practice?”“How do I get results without risk?”“Where do I even start with real audit data?”

If you’re sick of the sales spin and want practical know-how auditors can use now, then the AI Boot Camp for Auditors in Las Vegas on February 26–27, 2026 is where real answers happen.

No Fluff. Practical Audit AI Advise.

This isn’t a generic tech conference.

This is a hands-on, auditor-centric boot camp designed to give you actual skills you can use the day you get back to the office:

• How to embed AI into risk assessments and planning

AI is rapidly changing how auditors are doing their work. AI Tools capable of drafting workpaper narratives, summarizing standards, and generating audit documentation now operate at speeds and scales previously impossible.

This paper expands on the AI Tradecraft model, originally presented as a layered “AI Burger,” to demonstrate how humans and AI must work together in a controlled, auditable manner.

AI has some excellent applicability for auditors, but caution must be exercised so confidential company/ client/ agency information does not leak out. If confidential information will be used, we need to read the software Terms of Use very carefully and obtain the paid version of the AI tool that sits behind your organization's firewall! And analyze the AI results for hallucinations (erroneous or misleading information).