95% of AI deployments fail. Not because the technology is weak, but because organisations don't understand how AI behaves in real workplaces or how people react when it arrives. Surviving AI Rollouts in the Workplace is a blunt, clear-eyed look at why modern deployments are collapsing across entire industries, and what that failure looks like at every level of a company. Following a fictional company's AI rollout, the book walks through the real failure points: leadership chasing efficiency, managers trying to keep teams afloat, developers fighting unpredictable systems, and frontline staff dealing with broken workflows.
Most projects fail long before the software goes live - derailed by hidden friction, behavioural backlash, cultural blind spots, and structural mistakes that no amount of hype can cover. If you work in a company deploying AI, or you're responsible for making those deployments succeed, this book gives you the patterns, warning signs, and practical understanding needed to navigate the disruption. Alongside exposing the failure modes, it also gives you the practical foundations the industry knows it needs but still hasn't defined: how to understand AI behaviour in real conditions, how to work with systems that break under pressure, and how to communicate about AI without confusion or hype.
These are the solutions organisations are scrambling for. Get ahead of the competition by learning from the mistakes others have already made.
95% of AI deployments fail. Not because the technology is weak, but because organisations don't understand how AI behaves in real workplaces or how people react when it arrives. Surviving AI Rollouts in the Workplace is a blunt, clear-eyed look at why modern deployments are collapsing across entire industries, and what that failure looks like at every level of a company. Following a fictional company's AI rollout, the book walks through the real failure points: leadership chasing efficiency, managers trying to keep teams afloat, developers fighting unpredictable systems, and frontline staff dealing with broken workflows.
Most projects fail long before the software goes live - derailed by hidden friction, behavioural backlash, cultural blind spots, and structural mistakes that no amount of hype can cover. If you work in a company deploying AI, or you're responsible for making those deployments succeed, this book gives you the patterns, warning signs, and practical understanding needed to navigate the disruption. Alongside exposing the failure modes, it also gives you the practical foundations the industry knows it needs but still hasn't defined: how to understand AI behaviour in real conditions, how to work with systems that break under pressure, and how to communicate about AI without confusion or hype.
These are the solutions organisations are scrambling for. Get ahead of the competition by learning from the mistakes others have already made.