Karim Atiyeh
speaker
955 appearances
1 recordings
1 series
first heard Oct 2025
last heard 21 Oct
Karim Atiyeh’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Oct 2025 with 1.
Appearances
and more context about the policy than any employee.
So you can run 24-7 as transactions come in and apply the logic of the expense policy against these transactions and decide whether something is in policy or not, and do that a lot more efficiently than any human.
So you have a 24-7 live enforcement of your policy.
And not only that, but as it runs over time, it gets better at advising how to make the policy a little bit clearer or easier to interpret,
Maybe to make that a little bit simpler, instead of having deterministic codes tell software what transactions are in policy or not, you essentially have this living, breathing text document that can evolve over time that's guiding an agent
that has access to tools like your calendar, email, et cetera, on how to classify transactions.
And that same principle applies in so many different parts of the company.
Now, the good thing about expense policies is most companies have them, but companies do all sorts of things that sometimes are not written down that can be very easily automated by agents.
So for example,
When you receive an invoice as a company, what do you do?
It's like, well, you do a couple of things.
One, you make sure that the invoice is not fraudulent.
Maybe you make sure that you're being invoiced for a product that you've actually ordered, a product that you've actually received.
You make sure that the price matches what you had negotiated.
So there's a lot of steps that actually happen before and after any payment that a company makes.
And most of the time, they're not very well documented.
A lot of work that we're doing right now is, you know,
Because we have so many interesting customers and they're using the product to run their finances, we can infer a lot of these policies through their behavior.
And a lot of those policies that we're inferring are driving the next generation of agents that we're building.
I still go back to the early days and why a lot of people even picked us when we didn't have that much credibility or social proofing.
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