Copilots gave enterprises a practical entry point for leveraging AI, helping employees find information, summarize content, draft communications, analyze data, and accelerate engineering tasks. Their operating model is familiar: a person asks, AI responds, and the person decides what happens…
Walk into almost any boardroom discussing AI, and the conversation eventually reaches the same conclusion.“Our products weren’t built for this.”The statement is usually followed by another.“We probably need to rebuild.”It sounds logical. It is also where many modernization programs begin…
Every major technology shift eventually changes how engineering teams work. Cloud computing changed infrastructure ownership. DevOps changed the relationship between development and operations. Microservices changed how software was designed, deployed, and maintained.AI is often described in similar terms. Most conversations…
Software has always evolved in waves. The first generation of enterprise applications digitized paper-based processes. The next generation moved those applications to the cloud and introduced the Software-as-a-Service (SaaS) model. Instead of purchasing perpetual licenses, organizations subscribed to software that…
Walk into almost any engineering organization today, and you’ll hear a familiar claim.“We’re becoming AI-native.”Ask what that actually means and the answers vary wildly.“We use GitHub Copilot.”“Our developers use ChatGPT.”“We’ve automated code reviews.”“We’re experimenting with AI agents.”None of those are…
Every CTO is under pressure to have an AI strategy.The result is predictable. AI quickly becomes part of every product roadmap.Sometimes that’s exactly the right decision. Sometimes it isn’t. The difficult part is that both scenarios often look identical in…
Software engineering ran on pure adrenaline over the last decade. Everyone rushed to split up monoliths, automate builds, and run endless agile cycles. Then AI tools showed up with a simple promise—multiply your code output by ten. Fast-forward to today:…
A few years ago, the board of directors at a global financial institution reviewed the outcomes of a massive technology initiative. The enterprise had spent eighteen months rolling out AI coding assistants to over four thousand software developers. The project…
Software engineering leadership is caught in a quiet, frustrating trap.Walk into almost any quarterly business review or executive board meeting, and you’ll witness the exact same script playing out. CFOs keep demanding a line-by-line accounting of R&D spend. At the…
By Benoit PostAcross engineering, operations, customer experience, and analytics, AI is improving decisions, accelerating workflows, and unlocking new efficiencies. Someone built a copilot that reduced manual effort. Another team automated a decision workflow. A data science group proved that a model could…