How many licenses?

Your company bought AI licenses twelve months ago. Half your team has access. Three people use it regularly, and two of them figured it out on their own.

Sound familiar?

Here's what's actually happening. The AI got bolted onto how you already work. Nobody redesigned the workflow around it. Nobody defined who owns the output. Nobody changed which decisions get made where. The tool is live. The process is the same. The results are predictably mediocre.

This isn't a training problem, and it's not a change management problem in the usual sense. It's a clarity problem. The same one that kills strategies, derails hiring plans, and turns offsite priorities into forgotten slide decks.

Infor surveyed a thousand business decision-makers this spring. More than half said they can't scale AI even with strong organizational ambition. Writer's enterprise survey found 36% of companies have no formal plan for supervising AI agents. These aren't edge cases. This is the norm.

The companies moving forward aren't the ones with the most sophisticated models. They're the ones where someone sat down and answered the boring questions. Who owns this? What does good output look like? Which decisions does this replace, and which ones still need a human?

If you don't have answers to those questions, the AI isn't your problem. The lack of answers is.

That's what we work through at The Bright Fig. Not the technology. The operational structure that makes the technology actually run.

thebrightfig.com | Smarter by Friday at smarterbyfriday.com