Oct 17, 2026 · 18 min · 13 segments
Secrets of an AI Chatbot Loved by 200+ Enterprises | Kata.ai Irzan Raditya EO Builders is a community for founders across the globe, connected through EO’s powerful resources. Through our private…
[laughs] I look back to when I was a kid that I love to make a living from my creation, and I love to make an impact, 'cause my parents always tell me that the best human being and mankind are the ones who can make positive impact to other lives.
It resonates in my brain every time, every day, so I took, uh, multiple chances to become an entrepreneur.
So through YesBoss, a customer could chat To an assistant, which is not AI actually, they could ask anything.
"Hey, I want to book a movie for Star Wars for, for two people in X cinema for tomorrow," for example.
And our assistant, they use other services to book the tickets, and then customers made the payment, and they provide the information and the digital ticket, for example.
But all in all, we had, like, 50 customer service agents that we employed internally.
But from day one, we understood that this wouldn't be scalable, and it required this AI technology.
We did that, but it was, uh, not easy, 'cause we had to collect the data, clean the data, build the model, test this and that.
[laughs] I look back to when I was a kid that I love to make a living from my creation, and I love to make an impact, 'cause my parents always tell me that the best human being and mankind are the ones who can make positive impact to other lives.
It resonates in my brain every time, every day, so I took, uh, multiple chances to become an entrepreneur.
So through YesBoss, a customer could chat To an assistant, which is not AI actually, they could ask anything.
"Hey, I want to book a movie for Star Wars for, for two people in X cinema for tomorrow," for example.
And our assistant, they use other services to book the tickets, and then customers made the payment, and they provide the information and the digital ticket, for example.
But all in all, we had, like, 50 customer service agents that we employed internally.
But from day one, we understood that this wouldn't be scalable, and it required this AI technology.
We did that, but it was, uh, not easy, 'cause we had to collect the data, clean the data, build the model, test this and that.
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