We hate repetition. When we see the same code written twice, we turn it into a function. When we see the same pattern across projects, we build an abstraction. This instinct is so deep in how we think that it's almost unconscious.
A couple years ago we started looking at how enterprise teams spend their time, and we kept seeing the same thing: smart people answering the same questions over and over, in slightly different formats. Security questionnaires and legal reviews. The questions are nearly identical. The answers exist somewhere. And yet someone has to manually find them, copy them, reformat them, track down the person who knows the edge case, wait for a response, and repeat.
To us this looked like a bug. Expensive people doing mechanical work that a system should handle.
This is a huge part of what motivates us: the first time a question gets answered, a human needs to do it. Someone has to actually know the answer. But the hundredth time that same question comes up, in a different spreadsheet from a different vendor? That's automation.
We measure one thing: hours saved. We picked this metric because it keeps us honest. It's easy to build AI that looks impressive in a demo. It's much harder to build something that actually saves time when you use it every day. If the hours saved number isn't going up, we're not helping, no matter how good the accuracy metrics look.
We've learned a lot from watching teams use Wolfia. The thing that surprised us most is what happens when you remove the repetitive work. Teams do more. They respond to prospects they would have deprioritized. They take on larger customers with longer questionnaires. The constraint was time.
We started with security questionnaires because they're painful and the answers are mostly the same. But we think this pattern applies much more broadly. Any workflow where smart people are repeating knowledge work is a candidate for this approach.
There's a lot more to figure out. We're still early. But we're pretty confident that the way enterprise knowledge work gets done is going to look very different in a few years, and we want to help make that happen.