Prevail

When an AI initiative dies, the machine takes the blame. It's almost always the wrong suspect.

Every executive who has quietly shelved an AI project has the same explanation ready: the model underperformed, the vendor oversold, the technology "wasn't there yet." In Prevail: What Leaders Must Do Now That Machines Can't Manage, Dr. Tim Bottke argues that this story is a convenient way to avoid the real culprit - a chain of management decisions made long before anyone trained a model. The bug isn't in the technology. It's in us.

Bottke turns two decades of decision data into a working diagnostic. PREVAIL starts at the ground floor, where leaders reach for the tool before they've named the problem, and moves up through data, experimentation, ownership, measurement, funding, and governance. The uncomfortable finding is that the damage concentrates on the ground floor and compounds as management builds on those decisions.

Readers will discover:

• Why AI initiatives fail and how to course correct before the budget is committed
• Chapter checklists that allow for a working audit
• Action lists for the operator fixing a rollout, the executive shaping a portfolio, and the board member or investor stress-testing a proposal
• The one question that predicts success better than anything: what problem does this solve?
• Composite case studies based on public filings that show each failure pattern in the wild, and the fix that would have caught it
• A shared vocabulary for boards, investors, and operators to pressure-test any AI proposal
• What the market actually does when companies admit an AI failure

Prevail is written for those who need something firmer than hype to judge what's in front of them.