Practical AI for Small Manufacturers
Practical AI for Small Manufacturers
Scheduled Release: February 1, 2026
Small manufacturers operate under relentless pressure: tight margins, labor shortages, equipment downtime, variable demand, and increasing customer expectations for reliability and speed. Most are not poorly run—they are constrained.
Practical AI for Small Manufacturers is written for owners, plant managers, operations leaders, and technical professionals at manufacturing firms who want to make informed, disciplined decisions about artificial intelligence—without disrupting production, compromising safety, or chasing hype.
This book does not assume that AI is the right answer. Instead, it helps manufacturers ask a more important question:
Are there specific operational problems in my business where today’s AI tools could realistically reduce waste, variability, or friction—if applied carefully and measured properly?
Using realistic shop-floor scenarios, the book examines common manufacturing challenges, including:
capacity and skilled labor constraints,
bottlenecks and production variability,
quality issues, scrap, and rework,
inventory and supply chain uncertainty,
maintenance, downtime, and reliability,
loss of tribal knowledge,
data silos and disconnected systems,
and operational risk in adopting new technology.
Each chapter focuses on one problem area, explaining why it exists, how it impacts performance, and how leaders can evaluate whether AI may play a limited, supportive role—always under human oversight.
The book emphasizes a disciplined Assess → Design → Deploy approach:
assess constraints before introducing technology,
design narrow, low-risk use cases,
and deploy only through controlled pilots with clear success and stop criteria.
Practical AI for Small Manufacturers is not about digital transformation slogans or “Industry 4.0” promises. It is about practical evaluation, operational judgment, and protecting what matters most: safety, reliability, and trust.
Release Date: February 1, 2026
Author: Peter J. Keane
If you’d like, next I can:
tighten this for an Amazon KDP description,
create a shorter “coming soon” teaser version,
or align it precisely with the Practical AI for… series description..