Perspectives on enterprise technology strategy, AI deployment, digital transformation, and delivery excellence — from someone who has led it at scale.
Organizations are spending millions on AI initiatives that never make it to production. The problem is rarely the technology — it's the absence of a clear connection between the AI investment and a specific business outcome.
Read the full article →Some programs look unrecoverable from the outside. The hardest part of turning them around is never the technology — it's restoring trust with the board, the business, and the team.
Moving a $50M portfolio from project-based to product-based operating model produced results that surprised even the skeptics. Release cadence increased tenfold. On-time delivery hit 95%.
When executives can't see what's happening across a large portfolio in real time, decisions slow down and risk goes unmanaged. Here's how we fixed that.
Most platform modernizations take longer, cost more, and deliver less than planned. After leading several at scale, here's what actually determines success.
Most at-risk programs show the same warning signs months before they blow up. The organizations that recover fastest are the ones that act on them early.
Most organizations don't have a strategy problem. They have a perception problem — senior leaders reading different signals and chasing different priorities while believing they are aligned.
Let's have a direct conversation grounded in real enterprise experience.