Why AI Is Failing Leaders
AI is everywhere in enterprise conversations right now. Boards are asking when it will deliver. Executives are pushing for pilots. Teams are racing to get something, anything, into production. And yet, the results are mixed at best. A recent survey found that more than half of AI investments have not delivered a positive return. The […]
Why AI Demands a New TOM, Not Just New Tools
Every AI vendor is promising transformation. The smart CIOs and COOs know that transformation only sticks when the Target Operating Model evolves with it. Here’s the truth: most organizations are trying to bolt AI onto operating models designed for a pre-digital world. They’re adding intelligent automation to processes that were already broken. They’re deploying machine […]
Why ‘Just Staff Aug’ Isn’t Enough Anymore
Too many executives are still defaulting to staff augmentation when what they really need is accountability. You can throw resources at a project. However, without the proper structure, strategy, and alignment, it doesn’t move. You get motion, not progress. We’ve seen this firsthand in data modernization efforts, Salesforce rebuilds, and PMO resets. The talent was […]
When Data Reliability Becomes a Strategic Liability
We talk about data like it’s an asset. In practice, unreliable data becomes a strategic liability long before anyone admits it. Organizations spend millions on analytics platforms, AI pilots, and operational data products only to discover nobody trusts the outputs. And if you can’t trust a single source of truth for even basic metrics, you […]
When Data Becomes the Bottleneck
Most transformation efforts don’t fail in design. They fail in execution—because data becomes the bottleneck. We’ve seen this across cloud migrations, platform rollouts, M&A integrations, and now AI enablement. The pattern repeats: Why Reliable Data Is a Delivery Issue Data is often treated like an asset, but it behaves more like a product. If no […]
When AI + Knowledge Management Actually Delivers
It’s one thing to say “Copilot helps us work faster.” It’s another to experience it when it really counts. A former client reached out recently about a project from over a year ago. The consultants were gone. The salesperson was gone. I was the only one still around, and I hadn’t been deeply involved. But […]
What Tech Leaders Should Really Be Reviewing at Year-End
Year-end reviews are in full swing. Revenue performance. Attrition rates. Margin compression. Utilization metrics. The same dashboards that get presented every December. But here’s what those numbers don’t tell you: whether your organization can actually execute next year’s strategy. You can hit every target and still be building on a crumbling foundation. The question isn’t […]
We Bought the AI Hype…And Got Burned
Everybody loves the promise of AI. Automate the grunt work. Kill off human error. Scale without adding headcount. It’s a heck of a sales pitch. We’re not skeptics. We’re all in on what AI can do when it’s done right. So we ran a pilot. The goal? Automatically read our contracts and spit out accurate […]
Velocity Isn’t Speed. It’s Clarity.
Every organization I work with wants to move faster. Executives talk about increasing velocity, accelerating delivery, and reducing time-to-market. They review competitors’ shipping features weekly and wonder why their own teams take months to deliver similar capabilities. But when I ask, “What’s actually slowing you down?” I consistently hear vague answers that don’t point to […]
Velocity as a Strategic Asset: Learning Faster in the Age of AI
Competitive advantage isn’t just tech, it’s learning. And in an AI-driven world, your organization’s learning velocity might be the difference between leading and lagging. Here’s what I mean by learning velocity: it’s the speed at which your organization can absorb new information, test hypotheses, learn from outcomes, and adapt operations accordingly. It’s not about training […]