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AI AGENTS FOR SMALL BUSINESSES

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AI AGENTS FOR SMALL BUSINESSES

Av: John Chiong
Berättare: Sara Phillips
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AI Agents for Small Businesses is a plain-spoken guide to agentic AI — software that doesn't just answer questions, but actually takes action on your behalf: booking an appointment, answering the phone, following up with a customer who stopped coming back, drafting a reply to a bad review before it sits there for a week. Written for owners of businesses with 2 to 100 employees, it assumes no technical background. The book walks through every part of a small business: your website and local search listings, chat and voice agents that answer customers around the clock, email and booking and quoting, social media and short-form video, and the reviews and reputation work that used to fall through the cracks. Inside, you'll find: A short leak audit that finds the one or two things actually costing your business the most, before you spend a dollar on software. A plain-language test for telling a genuine AI agent from ordinary automation wearing a marketing label. Chapter-by-chapter buying guides, each with vendor comparisons and the specific questions worth asking before you commit. A working Business Brain template that keeps every tool you connect working from the same facts, instead of five different answers to the same question for AI agents to use. Written by John Chiong, a technology leader with more than twenty years of experience in Agentic AI, Cybersecurity and Networking. This book is a part of EOLO Press Agentic AI Series. A companion volume for businesses ready to consolidate onto larger, all-in-one platforms is planned for readers who eventually outgrow what's covered here. If you've put off AI because you didn't know where to start, or you already tried an agent that overpromised and quietly stopped using it, this book is built to fix that. It is meant to be read once and used for years — a reference you come back to every time a new leak shows up, not a trend you read about once and forget.©2026 John Chiong (P)2026 John Chiong Informatik
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