AI adoption

Why AI Pilots Fail (And How Mid-Market Teams Make Them Stick)

Most AI pilots do not fail because the model was wrong. They fail because the workflow was never redesigned and the team was never brought along. Here is the pattern, and how to break it.

July 6, 2026 · 5 min read

AI readiness

AI Readiness Assessment: A Practical Guide (and Checklist)

Most AI projects fail because teams skip readiness. Here is the four-dimension assessment (data, workflow, talent, adoption) and a checklist you can self-run today.

July 6, 2026 · 7 min read

AI strategy

Alex Karp is half right: most AI spend creates no value. Here is why.

Palantir's Alex Karp says businesses are paying for tokens that create no value. He is right about the problem and wrong about the cause. What mid-market operators should actually take from the meltdown.

July 3, 2026 · 8 min read

agentic AI

Gartner says 40% of agentic AI projects will be cancelled. Here is what the survivors do differently.

Gartner expects 40%+ of agentic AI projects to be cancelled and only 23% of teams see real ROI. The agents are not the problem. Here is what the survivors do differently.

July 2, 2026 · 4 min read

Perspective

Tokenmaxxing is out. Valuemaxxing is the metric that matters.

Measuring AI by how much you use it was always going to end in a cost reckoning. The fix isn't using less, it's measuring value, and moving your advantage off the model and onto the system around it.

June 30, 2026 · 3 min read

Frameworks

Where AI pays off first: an impact-vs-effort map for consumer-tech teams

Forty AI ideas, four people, one quarter. The teams that win sequence better, here's the impact-vs-effort map (and scoring rubric) we use to decide what to build first.

June 30, 2026 · 2 min read