The AI Validation Gap

Your company has invested heavily in AI. Can anyone prove it's working?
The demonstrations are impressive. The dashboards are green. Employees are using the tools. The budget keeps growing.
But when the board asks what the investment has actually changed, the answer becomes hard to defend.

That is the AI Validation Gap.
In The AI Validation Gap, Steve Taplin and Salma Wahwah show why capable executives and talented teams keep funding AI initiatives whose results they can't substantiate.

An AI system can be deployed on schedule, adopted across the company, and still fail to produce the outcome it was funded to deliver. Behind the launch sit costs that rarely appear in a status report: hidden review work, rising operating expense, unreliable outputs, eroding trust, and models that keep running long after the conditions they were built for have changed.

Written for CEOs, CTOs, board members, investors, and executives accountable for AI ROI and governance, this book uses examples drawn from real client engagements to help you:

• Recognize when AI activity is being presented as business achievement.
• Expose costs and consequences conventional dashboards miss.
• Challenge vendor promises and internal success claims with questions that demand evidence.
• Decide which initiatives to expand, fix, or stop.
• Protect the trust of employees, customers, and the board.