ALM Tools Aren’t Dead. You Just Outgrew Yours.

The “ALM is dead” narrative is lazy. The reality: application lifecycle management is more critical than ever. What’s changed is what ALM platforms need to do — and how teams need to use them. We’re knee-deep in ALM platform decisions with clients across insurance and healthcare. And no, it’s not about picking the flashiest tool. […]

AI Strategy Without Data Discipline Is Just Hype

I’ve been in multiple boardrooms over the past year where AI is positioned as the centerpiece of 2026 strategy. The presentations are compelling. The use cases sound promising. The projected ROI looks significant. And every time I ask a simple question, the conversation stalls: “How confident are you in your data lineage and quality?” The […]

AI Readiness Isn’t a Tool Problem. It’s a Foundation Problem.

Everyone wants to talk about AI strategy right now. Execs are asking about it in boardrooms, consultants are pitching it in every slide deck, and vendors are slapping it on every product feature, whether it fits or not. Here’s the problem: most of what’s being said misses the point entirely. You don’t get AI value […]

AI Isn’t the Future. Trustworthy Data Is.

Right now, boardrooms across the country are echoing with this question: “What’s our AI strategy?” It’s the wrong question. In regulated markets like banking and insurance, the real question isn’t what your AI strategy is. It’s whether your data is trustworthy enough to support one. Because without a foundation of clean, consistent, and governed data, […]

AI Is Forcing a Harder Question: Can Your Organization Learn Fast Enough?

Everyone’s investing in AI. Few are investing in the organizational learning it requires. I’m not talking about AI training. I’m talking about whether your organization can absorb, adapt, and operationalize new insight at speed. And whether your current target operating model supports that kind of velocity. AI gives you faster feedback loops. Better signal. More […]

AI in the Enterprise: The Real Test Is Not Innovation, It’s Execution

The enterprise AI conversation is shifting. The early rush of experimentation has slowed, and the post-hype reality is setting in. Across industries, technology leaders are facing a harsh reality: despite significant investment, many AI initiatives haven’t delivered measurable business value. According to an MIT study, about 95% of enterprise AI pilot projects fail to deliver […]

AI Doesn’t Need a Strategy. Your Business Does.

Let’s kill the phrase “AI strategy.” It sounds smart. It checks a box. It looks great in a slide deck. But it’s backwards. Your business needs a strategy. AI is one way to execute it. No model, no matter how well trained, can fix a lack of clarity about what you’re trying to achieve. If […]

AI Accountability Can’t Be an Afterthought

We’ve hit the phase where companies are deploying AI in production, but still can’t answer one basic question: Who’s accountable when it goes wrong? We’ve seen real-world failures. A model trained on historical spending data underflags patients of color for preventive care. A recommendation engine overorders inventory by $2 million because it misread seasonal trends. […]

AI Is Not the End of Consulting. It’s the Catalyst for Its Next Evolution.

Every few years, the consulting industry is declared dead. First, it was offshore delivery. Then automation. Now it’s AI. Each time, the headline is the same. “This changes everything.” And in one sense, that’s true. But what AI is changing is not the need for consulting. It’s exposing where consulting lost its way. AI is […]