Laoise Mullane

So it's about being able to constantly adapt and improve.

So with agents, I think there's a lot of groundwork that needs to go into making sure that things are, you know, the architecture is correct, that the guardrails are in place for it to be safe and responsible AI.

And I think organizations are doing that investment at the moment.

We know that there's a high number of organizations planning to invest in agents in the future.

And so they're getting the ground, the setup correct.

And then beyond that, I think it's about bringing it to life for people.

So if I think about the AI agent example that always comes into my mind, if we think about, you know, we're used to seeing HR chatbots, for example, that's something that's been around for a long time.

AI agents take that from being just an information gathering process where it can answer your question to being able to answer your very specific question tailored to you and the context of your organisation.

But it can then also go and take on action.

So I could ask it, you know, what's my annual leave?

And it could tell me, so this is what you're entitled to.

These are the days of annual leave that you've taken so far.

Here are the days that you have remaining.

And, you know, here's what's coming up in your calendar that you're going to want to avoid.

And then I can say, OK, so I want to take these annual leave days knowing what it's now told me.

And it can then follow through the approval process.

So it takes something that would have taken me a lot more time previously, a simple conversation to be able to book that into the system.