The Single Bottleneck Rule in AI Adoption

di Cecil Schneider (Autore)

Dayana Kelly Lima Oliveira, 2026

Most books about AI and small business were written for a company that doesn't exist: fifty million in AI budget, a data science team, a board that wants a "transformation" slide every quarter. If your business has 8 people, or 45, or 95, none of that is you. You don't have a data science department. You barely have a lunch break. The Single Bottleneck Rule in AI Adoption is built for that business instead. The core idea is simple: stop running five AI pilots at once and finishing none of them. Pick the one bottleneck actually costing you time, money, or customers, fix it completely with the tools you already have access to, and only then move to the next one. That's the whole method — no data science degree required, no six-figure software budget, no committee. Across eleven chapters, this book walks through where small businesses waste AI effort and where they actually win: why trying everything guarantees you finish nothing, why "governance" so often becomes an excuse not to ship anything at all, why your own team quietly ignores the AI tool you rolled out last quarter, and why the smartest operators have mostly stopped building anything new and started reusing what already works. It also covers the harder judgment calls — how much decision-making you should actually hand to AI, where a limited budget does the most good, which metrics are worth watching and which ones just make you feel busy, and when killing a project is the more disciplined move than sticking with it. Three bonus chapters follow real companies, not hypotheticals: a one-person web design studio and a five-location coding bootcamp that automated their invoicing, a jewelry retailer that handled the workload of five support agents without hiring a single one, and a sales team that used AI to fix the unglamorous fifteen minutes of paperwork after every call instead of chasing a smarter pitch. Every figure and every case in this book is sourced and referenced, not invented for effect. This isn't a book about becoming a tech company. It's about using a small number of the right tools, in the right order, for reasons you can actually explain to your team on a Monday morning — and about treating your size as the advantage it actually is, instead of the excuse everyone assumes it has to be. If you run a small business and you're tired of AI advice written for companies fifty times your size, start here.

• Autore: Cecil Schneider
• Anno edizione: 2026
• Editore: Dayana Kelly Lima Oliveira
• Formato: EPUB2 con DRMFREE
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9798237157147