Ryan Hanley

In working with AI as much as I have and thinking about my own clients that I work with and having similar conversations,

one of the things that's kind of hit me in the face is how, how many of our KPIs, how many of our workflows have been determined based on the restrictions of the system we use, not based on them actually being what's best for our business.

It's like, well, we can only track time to hire Nicholas.

I have no ability to understand the longterm, you know, return on, you know, this, you know, spending an extra four months bringing in an employee and adding these extra layers.

And so they,

because they didn't have the ability to either handle the amount of data or the systems couldn't do that, et cetera, you get these best practices and these KPIs that aren't necessarily, as you said, best for the business, but it's what they can do.

And to me, it feels like with AI and the ability to build these agents, build your own LLMs, to mine data out of databases or multiple databases and pull them together, we can start to actually think through

How would you grow the business in a perfect world with no restrictions and actually have that be a reality?

And those are really different conversations in some cases.

I know you may not know this, but the industry that I grew up in was actually the insurance industry and the property casualty industry.

And one of the things that to this day, 20 plus years in the business, I've sold thousands of policies.

I started my own agency, grew it, sold it.

In 2021, we were actually the fastest growing small commercial agency in the country outside of the top 200, which are like the Marshes and the Willis Tyler Watsons and those guys.

who I would have loved to compete against, but we were not.

We were significantly smaller than them.

But my point in saying all that is what most people would be shocked to know is how little and how broad and fuzzy the data is that most carriers make their pricing decisions on.

And that's not a knock on the carriers.

Honestly, until AI...

became what it is today, the option to actually pull in all the data wasn't even really there because of all these old pipes.

And there's a whole bunch of stories there, which we don't know, I don't want to bore the audience.