The tool has been chosen. The rollout is scheduled. And you, the person closest to the work, can already see the problem.
Maybe it's confidential client data the vendor shouldn't touch. Maybe it's an error rate the stakes can't absorb. Maybe the "hour saved" quietly costs forty minutes of checking and a quarterly disaster. You're not against AI. You're against this tool, in this workflow, at this moment, and you have no good way to say so. This book is the way.
When AI Is Wrong for the Job is a practical field manual for employees, managers, and professionals facing an artificial intelligence rollout in their workplace. It turns a well-founded concern into a business case management can act on. Drawing on documented AI failures (courtroom sanctions, regulatory settlements, six-figure refunds, very public reversals), it walks you through the complete method.
Inside you'll find the six risk categories every workplace AI deployment must clear (confidentiality, liability, error economics, hidden costs, client trust, and compliance), industry playbooks for law, healthcare, finance, and beyond, and ready-to-use templates: the incident log, the cost worksheet, the full memo, and the manager's one-pager.
No doom, no hype, no ideology. Just a way to put it on the table while it can still change the decision.
Because "we'll be careful" has already failed at companies far bigger than yours.
