Dileep Thazhmon
speaker
552 appearances
2 recordings
2 series
first heard Jan 2025
last heard 28 May
Dileep Thazhmon’s voice in public audio — every appearance, attributed to the second.
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Appearances
So I'll walk through some concrete examples where we use it.
So one, which I think is really important, is we use it on the underwriting side.
We do pretty serious underwriting for any company that comes to us because just like a ramp or a Brax, we have to give them 30 days of spend.
And then at the end of 30 days, they have to pay us back.
So we need to know that they're good to pay us back on day 31.
And today we have a team of four people.
that does this underwriting across all these regions.
And that just simply wouldn't have been possible even two years ago.
You'd need 15 people just to get the underwriting going.
Better models, self-learning models, self-training models.
We have a lot of data and now the models are actually keeping up with the data.
So that's a huge unlock.
Same thing when you think about customer service.
We, again, have maybe three people on the customer service team and we have to handle different languages.
We have to handle people that are obviously talking about payments, but then also cards and also AP.
We just are starting to test an AR product and it's a very small team.
would not be possible without training what we have on the customer service side to be able to handle that.
So I think that's another area.
And then if you think about KYB and document ingestion, that's an area that we had to build our own version of, you know, an OCR machine.
Because again, even if you can do Spanish and Portuguese, there are little nuances, like in Brazil, the commas and the dots are intertwined.
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