So for the listeners, Natalie, I think what would be really, really interesting is just to understand what was the data governance environment like before you started using AI and policies in practice? Paint a picture of what that was like and what were the considerations and what was your approach to getting to where you're at now?

I went into an environment with data governance that had been around for a very, very long time.

It had things like the DM box that you could follow.

It came with a documented, almost templated policies that you had that you could then roll out across your organization.

It was very cookie cutter approach and every organization could pick it up and follow through.

When we have now been introduced to AI and had to bring in AI governance as well, we had to throw that rulebook almost out the window.

It didn't work for AI governance itself.

So Natalie, talk us through some of the AI initiatives and you don't need to go into detail because I understand certain things you can't share, but just talk to us at a high level or give us some examples of some of the things that your teams are doing with AI and what you had to do as a data and AI governance team to put those parameters and governances in place? Great, great