I often hear the same types of complaints from leaders struggling with underperforming AI projects. Things started out great but then tailed off. They’re not seeing the ROI they expected. Maybe AI wasn’t a good fit for their organization. These leaders are not alone. But whatever their specific underlying issue, I usually respond with the…
Recently, I sat in on a conversation among CIOs about “the democratization of agents”: putting large language models directly in employees’ hands, connected to business logic so people could build on top of them. The mood was bullish, CIOs sketching out what their teams could do with agents they trained and managed themselves. Soon after,…
When Sastry Durvasula joined TIAA in early 2022, he saw an organization fighting against outdated legacy technologies and in need of a major IT refresh. Since then, the nonprofit has completed two phases of a comprehensive transformation initiative called Technology Ecosystem Transformation, or TETRIS, leading to a huge reduction in tech debt and a major…
Organizations are making one of the biggest decisions about AI without realizing it. Every time we automate a process… Every time we deploy a generative AI copilot… Every time we trust an AI recommendation… We’re answering a question that most leadership teams have never actually discussed. Who — or what — should be making the…
Ransomware remains one of the most disruptive cyber threats organizations face. Companies have strengthened their cyber defenses over the years, but attackers in 2026 have become faster, more targeted, and increasingly reliant on AI, forcing the need for a change in how organizations approach cyber resilience. From the rise of AI-enabled attacks and extortion-only campaigns…
Artificial intelligence is rapidly reshaping the business landscape. It can summarize meetings, generate presentations, personalize communications, analyze customer behavior, automate repetitive tasks and uncover insights that once took teams days to uncover. Organizations that embrace AI thoughtfully will almost certainly be more productive than those that don’t. That’s the good news. The challenge is that…
Sometimes, the demo works but the actual rollout doesn’t. An agent on one task is reliable, but run several against the same codebase and the results stop adding up: they rebuild what a neighbor just shipped, make conflicting changes to the same file, take an approach another agent ruled out an hour earlier. The gap…
When several agents work the same codebase, the way their assignments are divided determines the outcome. Done well, their merges fit together and align to the team goals. But not done well and you get a series of changes that each look right on their own but don’t add up. How you split the work…
The call usually opens with praise. The AI feature shipped on time, users love it and engagement charts are pointing the right way. Then finance closes the quarter, and the feature everyone celebrates loses money on every single request. That is the part the CTO called about. I get some version of this call every…
At their deepest level, LLMs are still a kind of magic. Even the developers who build them find them to be, channeling Winston Churchill, “a riddle, wrapped in a mystery, inside an enigma.” That’s why everyone working with LLMs in their enterprise stack needs a way to peer into the dark mass of weights to…