Scott and his team are using AI agents across multiple businesses. Here are the nine use cases:

1. Data Analysis: AI agents pull data from multiple sources, calculate metrics, identify trends. Most small businesses don't have data analysts. Now they can.

2. Revenue/Financial Analyst: Daily revenue calculations, transaction reconciliation, refund trend analysis, investment return evaluation. Paired with a human who reviews daily.

3. Business Operations Assistant: Reduces operational load. Example: finishing a studio recording kicks off file downloads, editor notifications, and workflow—all triggered by telling the agent "this is done."

4. Billing Investigations: AI reviews billing records and catches human errors. Found thousands of dollars in improper billing. Revenue recovery.

5. Automation Builder: Builds internal tools and scripts. Example: studio background auto-switches based on what Scott is recording.

6. Automation Supervisor: Daily 6 PM review of all automations. If something broke and didn't self-correct, the supervisor investigates, fixes it, and reruns it. Prompt: "You work for a self-improving organization. When something fails, it is your job to fix it."

7. Research/Due Diligence: Market research, property due diligence, historical records. "You'd be amazed at how much due diligence can be done by AI."

8. Customer Support (Tier 1): Drafts responses within defined rules. 90% confidence threshold—below that, escalate to a human. Never sends without review.

9. Customer Analysis: Before any call or email, the agent examines the full customer picture—email history, billing, meeting notes, last human touchpoint. Enables deeper conversations.

The $80K story: An employee left. Management said: "Give us $20K for AI tools and we can augment her work." It's happening.

The principle: Every use case pairs AI with a human. "It's never the AI running rampant. It's a true partnership."

Got a business question? Ask Scott here: scotttodd.net/ask