GCCs Embrace AI, But Lack ROI Frameworks, Zinnov-ProHance Study Finds

Imagine many companies, called GCCs, are trying out a new technology called AI.

Most of them, almost all, are either testing it or already using it.

But, here's the tricky part: most of these companies don't have a good way to know if the AI is actually helping them save money or make things better.

It's like giving lots of kids new toys but not checking if they are learning anything from them.

The study suggests that leaders think AI isn't very advanced yet, but the employees using it think it is.

This difference in opinion can slow things down.

To fix this, experts have created a special checklist to help companies measure if their AI is truly working and worth the cost.

This checklist looks at how advanced the AI is, if they can see how it works before and after, how much people are using it, how much it really costs, and what good things it does.

The study also points out that to make AI work well, companies need good data, skilled people, clear rules, and to know how well it's being used.