AI can save small business owners significant time, but inaccurate information and generic AI-generated content can also create more work, affect your credibility, and lead to costly mistakes.
The Stanford AI Index 2026 found hallucination rates ranging from 22% to 94% across 26 leading AI models on complex reasoning tasks. Without a clear strategy, AI can sometimes cost you more time fact-checking than it saves.
This webinar will show small business owners how to get real business value from AI while reducing hallucinations and avoiding “AI slop.”
What you’ll learn:
- How AI hallucinations and AI slop can affect your small business
- Time-saving AI use cases where errors are easy to spot
- Money-saving AI use cases where accuracy can be checked by someone else
- Practical ways to reduce AI hallucinations across different business tasks
- How to create content that doesn’t look or sound like AI slop
About the Speaker:
Natalia Brattan is a Harvard-trained AI expert, consultant, and published author. She led technology audits for Cisco, advising hundreds of SMEs, and worked at BlackBerry specializing in audit and risk management.






