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"Top 10 Executive Missteps in AI Adoption"

10 leadership mistakes quietly killing your AI ROI (and how to fix them before it’s too late)

Executive decisions make or break AI. This eGuide exposes the top 10 leadership missteps that quietly stall AI value long before the technology has a chance to perform.

You’ll see why unclear ownership, tool-first buying, and skipping data cleanup fragment your efforts and erode trust. Learn how underfunded change management, vague governance, and treating AI as a marketing story (not a real capability) derail adoption and invite risk.

We’ll also unpack the blind spots that most leaders miss: over-relying on vanity metrics, neglecting frontline workflows, failing to upskill managers, and letting governance sit static while AI evolves at speed.

Use this guide as a strategic checklist to pressure your AI roadmap, refocus investment on high-impact use cases, and align executives, managers, and frontline teams around measurable outcomes. You’ll walk away with concrete moves to avoid wasted spend, reduce risk, and turn AI from a stalled experiment into a scalable advantage.

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