P3 Adaptive
Off-the-shelf software worked when custom meant impossible. But when AI customization becomes faster and cheaper than configuring generic products, the economics change completely. Most companies will miss this shift. A smaller group will figure out the advantage.
Your team just got approval for an AI project, and the pressure quickly shifts to choosing a provider. OpenAI, Anthropic, Google—it feels like a permanent decision. This article explains why model-agnostic AI architecture matters more than the model you pick.
AI benchmarks keep climbing. Real-world business results often don’t. This post explains why better models alone don’t deliver ROI—and what actually does.
AI doesn’t fail in businesses because the models aren’t smart enough. It fails because the boring, unglamorous work that makes AI usable never gets done.
AI in Power BI Changes Who Wins (And It’s Not Who You Think) AI can build you a Power BI report in minutes now. Describe what you want, watch it […]
AI’s real value isn’t speed. It’s capability you didn’t have before. Measure what becomes possible, not just what gets faster.
Why can’t smart teams spot good AI opportunities? Because the worst problems don’t feel like problems anymore. They feel normal. And the best opportunities aren’t things happening poorly, they’re things that aren’t happening at all. Here’s why the blank page problem kills AI initiatives and how to finally see what’s been invisible all along.
AI looks great in a demo and chaotic inside a business. This post explains why small, tightly scoped AI jobs outperform the big, ambitious versions and how those pieces come together to build something far more powerful. If you want AI that holds up in the real world, this is your roadmap.
Most AI projects try to do too much. We shrink the job, keep it simple, and connect it to your existing systems so it works every day. Tiny AI jobs are the quiet powerhouse behind real business impact.
Most companies try to make AI carry the whole workflow and then wonder why it falls apart. The real wins come from using AI as one magic brick inside a structure built from regular, reliable bricks.
AI looks magical when it writes poems. It gets powerful when it learns your business instead.
Everyone’s teaching AI to talk, but nobody’s teaching it what the words mean. This post breaks down why a solid semantic model is the brain that turns AI from chatter into action.