The thing that pushed me to start Closp was not the hype around AI. It was the uncertainty underneath it.

I kept seeing the same scene: people trying to make serious decisions about tools they had not really been helped to understand.

Leadership had been told to move faster. Teams had been told to try the tools. Somewhere between those two instructions, the understanding had gone missing.

People were not stupid. They were busy. They had vendor decks, policy drafts, excited employees, nervous managers, and a lot of confident language from people selling them something.

That is the part I kept coming back to.

AI was being treated like a software rollout, when really it was changing how people judge information, write, decide, delegate, and take responsibility for work.

Closp is built for that moment before a company pretends it has AI figured out.

Sometimes that means advisory work with leadership: reading the vendor pitch, pressure-testing a policy, slowing down a messy rollout, or giving a plain answer when the room is full of maybes.

Sometimes it means education: giving employees a course they can actually finish, with enough grounding to understand the tool and enough practical guidance to use it without being reckless.

The two belong together. A good AI policy fails if the people using the tools do not understand it. A good course falls short if leadership is making confused decisions above it.

I would rather help a company ask the awkward questions early than watch it clean up a confident mistake later.

That is the work Closp is here for.