There’s a line making the rounds right now, and it’s the kind of line that sounds obvious until you sit with it: everyone agrees that re-engineering is the only real way to keep up with where AI is headed — not just where it is today. And almost nobody actually does it, because it’s genuinely hard. I believe that line. I’ve watched it play out from both sides of the table for almost three decades. Here’s what actually happens instead of re-engineering: someone wires an LLM in

A finance director I once worked with summed up her RPA rollout in one line: “It works great until the someone in IT pushes an update.” The bots weren’t dumb. They were rigid, built for one exact path and helpless the moment reality drifted from it. That’s the backdrop for all the “agentic AI will kill RPA” takes making the rounds. I don’t think that’s the right frame. This isn’t a changing of the guard. It’s a redesign of how automation thinks, and treating it as a simple re

Every company says "we're using AI." Try asking where, by whom, or how deeply, and the confidence usually drops off fast. That gap is basically the story of 2026. AI adoption was never going to be one clean number you drop into a board slide. It's messier than that — some teams sprinting, others barely off the starting block, and the space between them keeps growing instead of shrinking. The industry split is real Tech and software companies are out front, with adoption north

The Automation Trap: Why AI Doesn't Fix Broken Processes — It Scales Them! Applying AI to a flawed process doesn't create efficiency. It scales your dysfunction. It's a seductive idea to believe otherwise. AI is fast, tireless, and endlessly patient — surely it can just power through the mess. But speed isn't the same as soundness. If a process is broken, AI doesn't quietly fix it in the background. It executes it. Faster, more consistent, and at a scale no human team could e

The Next Evolution of Artificial Intelligence Generative AI has transformed how we create content, write software, and interact with information. It has become an essential productivity tool—but it’s only the beginning. The next evolution is Agentic AI. Unlike traditional AI that waits for prompts, Agentic AI can reason, plan, make decisions, execute complex workflows, and adapt as conditions change—all while pursuing a defined business objective with minimal human interventi

June 2026 marked a turning point for artificial intelligence. The conversation is shifting from what AI can do to how organizations can use AI to transform the way they operate. AI Agents Are Becoming Digital Teammates AI is evolving beyond chatbots into autonomous agents that can execute multi-step workflows with minimal human intervention. The opportunity is no longer just automating tasks—it’s redesigning business processes around AI-assisted work. Efficiency Is the New Co