Article
A tree kept the rain off me while I recorded this idea. At the same time, an AI agent was checking my email and pinging me only when something important came up.
Both were useful. The AI agent was useful because it had a clear workflow to make faster.
Companies can make AI adoption feel intimidating. The starting point is simpler than it looks: map something that already happens inside the business, then look at where AI can help it move faster.
Take order intake. How does an order actually make its way through the company? Is there a process on paper that anybody can follow, or does the whole thing depend on Joe, who has been there for 40 years and carries every step in his head?
If the process lives only in Joe's head, an AI agent has nothing it can follow. AI cannot tap into Joe's head yet. Maybe that is coming, but it is not the place to start.
Put the work on paper
Start with the basics. Choose one recurring process and write down how it works. For order intake, capture the steps that turn an incoming order into completed work. Make the process clear enough that somebody besides the person who built it can do it.
Now the workflow is visible. The people doing the work can point to the real process, and an AI agent can be given a specific part of it to speed up.
AI adoption does not have to begin with every system in the company. It can begin with one process that people already perform. Get that process out of someone's head, put it on paper, and give AI something concrete to work with.