7 Questions to Answer Before You Start Shopping for AI
Before you sit through a single AI vendor demo, answer these 7 questions. A field-tested readiness checklist from 20+ years of enterprise AI work.
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From Manual Chaos to AI-Powered Operations: A Manufacturing Transformation Story
Six months into the project, a senior stakeholder asked the question that kills more AI initiatives than anything else: “Can’t we just skip ahead to the good stuff?” Here’s what happened when this manufacturing client said no, stayed the course on the hard infrastructure work nobody puts on a press release, and walked away with 38% faster incident detection, $2M+ in savings, and a team finally free to do the work they were hired for.
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The Silent Killer of AI Projects: Why Infrastructure Fails Before AI Does
After 20 years leading enterprise technology at IBM and Kyndryl, I’ve seen the same pattern destroy AI initiatives at Fortune 100 companies and small businesses alike. The AI model works. The infrastructure underneath it doesn’t. Here are the 4 silent killers most organizations discover too late and how to find them before they cost you millions.
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You Don’t Have an AI Problem. You Have a Data Problem.
Most AI projects don’t fail because of the technology. They fail because of what the technology is running on. Duplicate records, disconnected systems, inconsistent data that means different things to different people. AI doesn’t fix any of that, It amplifies it. Here are the four data problems hiding in almost every business, five questions to know if you have them, and where to start before your next AI investment goes sideways.
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Agentic AI Is Here. Is Your Infrastructure Ready?
Agentic AI doesn’t just answer questions it books meetings, sends emails, updates records, and restarts failed systems at 3am without waiting for a human. It’s happening right now, and most organizations are completely unprepared for it. The competitive gap won’t open gradually. It will be sudden. Here are the 5 infrastructure requirements companies don’t have, why this wave is different from every tech shift before it, and what you need to do starting today.
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