Prevent AI Waste — Before You Start Prevent AI Waste — Before You Start It’s a new year, and I just published a short video on something I see far too often: organizations rushing into AI and wasting time, money, and credibility before they ever get value. Two quick notes to set expectations: I’m not… Continue reading Prevent AI Waste — Before You Start It’s a new year…
As the new year approaches, a lot of leaders are being asked one uncomfortable question: What’s our AI plan—and how confident are we in it? As the new year approaches, a lot of leaders are being asked one uncomfortable question: What’s our AI plan—and how confident are we in it? Most AI initiatives fail not… Continue reading As the new year approaches, a lot of leaders are being asked one uncomfortable question…
Most AI initiatives don’t fail because of the technology. Most AI initiatives don’t fail because of the technology. They fail because leaders are forced to make high-stakes decisions without a clear starting point. If you’re accountable for strategy, operations, or innovation in a mid-market organization, this probably feels familiar: Too much AI hype Too many… Continue reading Most AI initiatives don’t fail because of the technology. They fail because leaders are forced to make high-stakes decisions without a clear starting point…
Most AI failures are predictable — if you dare to look for them before you start. Most AI failures are predictable — if you dare to look for them before you start. Why Phase Zero Matters: The Premortem That Saves AI Projects A premortem is simple: “If this AI project failed one year from now,… Continue reading Most AI failures are predictable — if you dare to look for them before you start
Most AI failures don’t start with bad models. They start with skipped conversations. Most AI failures don’t start with bad models. They start with skipped conversations. I’ve watched organizations spend six and seven figures on “AI initiatives” that were approved in under 15 minutes. No one asked: What problem are we actually solving? Are our… Continue reading Most AI failures don’t start with bad models. They start with skipped conversations.
Most organizations rush into AI with a good idea and a whole lot of hope. Most organizations rush into AI with a good idea and a whole lot of hope. The problem? They skip the work that actually determines whether the project succeeds. I call this missing step Phase Zero — the part before CPMAI,… Continue reading Most organizations rush into AI with a good idea and a whole lot of hope…
Phase Zero: The Step Everyone Skips in AI Readiness Phase Zero: The Step Everyone Skips in AI Readiness Most organizations don’t struggle with AI because they “lack use cases.” They struggle because they skipped Phase Zero, confirming whether the org is actually ready to adopt AI in the first place. Before pilots, vendors, or roadmaps,… Continue reading Phase Zero: The Step Everyone Skips in AI Readiness
Most organizations aren’t “AI-ready.” They’re “AI-interested.” That gap is where the risk sits. Most organizations aren’t “AI-ready.” They’re “AI-interested.” That gap is where the risk sits. If you’re trying to brief leadership, build a roadmap, or justify a budget, start with this: A simple 5-step AI Readiness Assessment that tells you where your org actually… Continue reading Most organizations aren’t “AI-ready.” They’re “AI-interested.” That gap is where the risk sits.
Most organizations approach AI adoption backwards Most organizations approach AI adoption backwards. They rush into vendors, tools, and models without answering three basic questions: 1️⃣ Should we pursue this AI initiative? 2️⃣ Can we execute it successfully? 3️⃣ What must be fixed before development begins? Without clarity, AI projects collapse under: Misaligned strategy Siloed or… Continue reading Most organizations approach AI adoption backwards. They rush into vendors…
What separates AI projects that deliver from those that don’t? What separates AI projects that deliver from those that don’t? After working with teams across industries, I’ve noticed these patterns that consistently show up when AI initiatives actually succeed: 🎯 Begin with strategy and vision, not technology Before evaluating any AI solution, successful teams anchor… Continue reading What separates AI projects that deliver from those that don’t?
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