Insights, strategies, and lessons from the frontlines of AI implementation. Real stories from real projects.
Ninety-one percent of mid-market companies now use generative AI. That number sounds like a success story until you read the rest of the RSM Middle Market AI Survey : 92% hit serious rollout problems, 53% admitted they felt only "somewhat prepared" to implement it, and 70% said t
Uber's CTO Praveen Neppalli Naga made a quietly alarming admission earlier this year: his entire 2026 AI tooling budget, set aside for the full fiscal year, was gone by April. Not because of a bad vendor deal or runaway infrastructure spend, but because engineers were using Claud
Last Monday, Anthropic dropped an announcement that had nothing to do with a new model, a benchmark, or a safety paper. Instead, the company unveiled a $1.5 billion enterprise AI services joint venture with Blackstone, Hellman & Friedman, and Goldman Sachs, with Apollo Global
Three things happened this week that, taken together, are hard to dismiss as noise. Google rebranded Vertex AI into the Gemini Enterprise Agent Platform , a ground-up rebuild for enterprise-grade governance of autonomous agents. It ships with Agent Identity (unique cryptographic
Picture the pitch: your ERP vendor flies a team of consultants into your headquarters, walks you through a glossy deck on AI transformation, and promises you autonomous agents that will forecast demand, flag cash flow risks, and optimize your supplier relationships, all powered b
Picture a mid-sized company that bought three AI subscriptions last year. One sits in the marketing team's browser, half-used. One was trialled by finance, then quietly shelved when the person who championed it left. The third generates weekly reports that nobody quite trusts bec
Most AI agent initiatives at mid-market companies follow the same arc: a VP or IT director stumbles onto an impressive demo, gets budget approved, runs a pilot in isolation, calls it a success, and then watches the whole thing quietly collapse when it meets the real organization.
Picture this: Your team spent six months and a meaningful chunk of the IT budget on an AI pilot. It worked. Leadership was impressed. Someone put together a deck. And then... nothing. The pilot didn't go anywhere. Eighteen months later, you're still pointing to the same demo as e