The loudest promise in AI right now is that it replaces people. It's also the one we've watched fail the most. The businesses actually pulling ahead are doing the opposite: they're taking the people who already understand the work and giving them tools that make an afternoon's job take ten minutes.
That's the whole difference. A model that answers a customer badly costs you a customer. The same model, handed to the person who has answered that customer for five years, gives them a running start on the reply and their judgment does the rest.
We put the AI where it helps a human most, and nowhere it decides on its own.
It's less exciting than "autonomous everything," and it's the version that survives contact with a real business. Human spark, designed to scale, isn't a slogan for us. It's the constraint we design against: if a system makes the person using it worse at their job, it doesn't ship.