Matt Price

And technology people, bot vendors, all they want to do is maximize the amount of work the AI is doing.

Well, what we've seen from this bolt-on approach at the beginning was actually CSAT drops in a lot of circumstances.

And also, whilst companies are investing in the AI bots, they're not seeing the representative savings in optimizing of labor from maybe their BP or internally.

So that's why we felt that in order to actually make a difference, there's a lot of AI out there for CX.

We needed to come up with a different approach.

So what we actually did was we were a technology company.

We bought a large contact center business, thousands of people in it, because we wanted to know from the inside out exactly how to optimize the product and process and conversion of these businesses to AI.

And that's what we do.

Multi-modal, I mean, most chatbots are, I don't know what you'd even call it, unimodal or single mode.

They can read and they can write back to you.

And actually you can go for a voice bot, it can speak and it can listen and it can speak back to you.

What multimodal does is it gives you an interface to an AI agent that within the same channel can read and write, listen and speak, view images and give images and also control devices.

and sense and control devices.

But it can do all of those at once concurrently and or it can sequence and adjust the mode that it's operating in.

So what you have now is this incredible toolkit for creating customer experiences.

So an example customer

If this is one of ours, let's say Rasho.

And Rasho is a lawn sprinkler company.

They have a very cool irrigation system that just is one device and can target very specific parts of your garden based upon an AI map.

And so it can water your pots, just specifically all the lawns.