Most professionals using AI don't realize they're creating compliance risks with every prompt.

After auditing AI workflows across legal, healthcare, finance, and accounting practices, the same three patterns show up almost every time:

1. Feeding client data into cloud-based AI without a data processing agreement

If you're pasting client documents, patient records, or financial data into ChatGPT, Claude, or any cloud AI — and your vendor agreement doesn't explicitly cover AI inference on that data — you have an uncontrolled data exposure. Most BAAs and vendor agreements were written before generative AI existed. They don't cover this.

2. No AI use policy for staff

Your staff is already using AI. The question is whether they're doing it with guidelines or without. Every major bar association, OCR guidance update, and SEC advisory in the last 12 months has pointed to the same thing: you need a written policy governing AI use, and your staff needs to know about it.

3. Using AI outputs in client work without a human review layer

The "hallucination problem" isn't theoretical. Attorneys have been sanctioned. Medical professionals have flagged incorrect clinical suggestions. Financial models have produced fabricated data points. If AI touches client-facing work, you need a documented review process.

The fix isn't complicated. It starts with knowing where you stand. That's why we built the AI Compliance Risk Scorecard — 40 questions, 20 minutes, and you'll know your exact exposure level across 5 risk categories.

The professionals who get ahead of this now will be positioned as industry leaders in 12 months. The ones who wait will be explaining themselves to regulators.

Your move.