
Organizations that successfully cross the GenAI divide don’t do so through technology prowess—they do it through organizational courage. They make decisions that their failing peers are too frightened, too rigid, or too stupid to make:
- They empower line managers rather than central labs. This means accepting that the people doing the work know more about automating it than the people managing them. Revolutionary concept, apparently.
- They source initiatives from frontline users who actually understand the work. Not from consultants. Not from vendors. Not from innovation labs. From the people whose daily frustration with current processes drives them to find better solutions.
- They treat AI vendors as partners, not just software providers. This means co-development, deep customization, and accepting that the vendor needs to understand your business almost as well as you do. The days of plug-and-play enterprise software are over.
- They allow distributed experimentation with clear accountability. Failure is acceptable. Hiding failure is not. This creates an environment where teams can try things quickly, fail fast, and scale what works without seeking permission for every experiment.
- They learn from shadow AI usage before procuring enterprise tools. Instead of fighting the shadow IT economy, they study it. What are employees using? Why? What problems are they solving? The shadow economy is free market research that most organizations actively suppress.









