Category: Organizational Design

The paradox of AI automation: more tools, less productivity?

A data engineering team I worked with had adopted six AI-powered tools in twelve months. An automated code reviewer, a data quality scanner, a pipeline orchestrator with intelligent retry, a natural l

What we can learn from the DevOps revolution applied to AI

In 2009, deploying software to production was an event. It involved a change request, a maintenance window, a runbook, and a prayer. Developers wrote code, then threw it over the wall to operations, w

Why most AI transformations fail (it's not the technology)

The CTO of a mid-size financial services firm told me they had spent $4 million on AI tooling in eighteen months. They had three large language model providers under contract, a vector database cluste