The “won’t let a mess stand” part is the hard bit to build.
We do insurance claims by voice, and the same problem shows up. Someone says, “I dropped my phone,” and that can mean: I dropped my phone on the floor and the screen is cracked, or I dropped my phone off a mountain. 🙂
The sentence sounds complete. A human knows how to follow up naturally. An AI agent needs training to get it right.
You're absolutely right. Lots of nuances. I can see how tough it is to take this to the insurance claims and have it be accurate, but like you said, it's a learning process.
The “won’t let a mess stand” part is the hard bit to build.
We do insurance claims by voice, and the same problem shows up. Someone says, “I dropped my phone,” and that can mean: I dropped my phone on the floor and the screen is cracked, or I dropped my phone off a mountain. 🙂
The sentence sounds complete. A human knows how to follow up naturally. An AI agent needs training to get it right.
You're absolutely right. Lots of nuances. I can see how tough it is to take this to the insurance claims and have it be accurate, but like you said, it's a learning process.
Costing the leak in real dollars is what actually makes people act on it.
100%
It is creating space to identify operational drag, improve the system, and give leaders more time to focus on meaningful growth.
AI works best when it creates clarity around bottlenecks, giving operators back time to focus on meaningful growth.