Insights
Practical thinking from the people doing the work.
Field notes on AI adoption, cloud migration, automation, and modernization — written for leaders who have to make these decisions in production environments, not whiteboard ones.
What AI Actually Returns — and How to Measure It
Most AI ROI numbers are produced after the fact to justify a decision someone already made. The useful ones are set up before the first model call — and they survive a CFO's questions.
Read article →When to Replace RPA With AI Agents — and When Not To
Every vendor with an agent platform is telling you to rip out your bots. Some are right. Most of the time, the answer is more boring — and more profitable.
Read article →Why Most Enterprise AI Pilots Never Reach Production
The honest reasons AI pilots stall — and the operating model that gets them across the line. It's rarely the model that's the problem.
Read article →The Cloud Migration Mistake That Multiplies Your Bill
Lift-and-shift looks cheap until the third invoice arrives. A practical framework for when to rehost, replatform, or refactor — and how FinOps fits in from day one.
Read article →Application Modernization Without Destabilizing the Business
The strangler-fig pattern, phased cutovers, and zero-downtime targets — translated from architecture-blog language into the decisions executives actually have to make.
Read article →How to Choose Your First Five AI Use Cases
A prioritization framework that scores impact, feasibility, and data readiness — and stops you from picking the use case that looks easiest but won't move the business.
Read article →Why Boutique Consulting Wins for AI Transformation
Big firms are optimized for big-firm work. For AI transformation in 2026, the structural advantages have flipped. Here's what that means for how you pick a partner.
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