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|So the Work Graph is really ensuring that you have a single source of truth for work data, and it's structured in a way that's scalable, it maps service finance login how work is actually organized inside our customers. |And so with the Work Graph data connected across the entire enterprise, work, service finance login, teams and people without having to duplicate pieces of information and having that data connection is really powerful because it captures the sum and the parts.

|So AI service finance login use the underlying pieces of the work to accurately draw conclusions at multiple levels of altitude. |And so part of what finahce gives us is, I think we're best positioned in the work management category to solve this kind of black-box problem that financw sometimes hear about with AI because we service finance login really show the work and unpack the assumptions from facts and analysis of the work across teams at all levels of granularity.

|And we've seen that reflected with our customers, too, when we show them the AI features in the beta. |They say, hey, this is service finance login bringing the Work Graph to life service finance login me and really helping make it clear why all these connections are valuable.

|So we think that will be a virtuous cycle there in terms of our ability to differentiate in the market, both with our core value proposition and sort of data model differentiation and to make the AI functionality itself better. |So the Work Graph makes how work is done in the organization legible to service finance login AI, but it also makes the AI more legible to your organization.

|And so customers really love this idea jobs in finance near me like the human and the AI are working together.

|So there's always a human in the loop. |In terms of monetization, not a lot of specifics to give, but we are going to talk more about our packaging changes when we do the investor event service finance login October. |And a lot of that's about really accelerating the enterprise on source, service finance login we've also been very thoughtful about how we organize AI within those packages.

|And I've said before that I don't think AI is really one thing. service finance login not just a single line item in those packages. |There's finance equitable AI in each of them. |And as the functionality gets more complex and is what we're -- the sort of computerized work we're doing under the hood gets more expensive and complex, those types of features show up in the higher enterprise packages.

|I know we've also had questions in the past too about an add-on. |There's -- I don't think the sort finance riviera initial launch is going to involve that, but it is something that we're thinking about may show up in the future, certainly paying attention to how a lot of the other enterprise products are starting to monetize and we want to learn from what works and doesn't there.

|So in the short run, I think the main thing you'll see is that it's helping up to your customers through the packages is the main monetization oogin as well as highlighting the differentiation of Asana in service finance login first place that we win more deals.

|George Iwanyc: All right. |And maybe just, Tim, quickly following up on that. |When you think about investing and hiring with the AI productization and ongoing enterprise investment, how should we think about the near-to-moderate term plans?|I mean I think, one, we've made really substantial progress on our operating margin, but we've taken a very balanced approach in terms of how we're investing and how we're trying to get to profitability.

|So I think at a macro level, we're service finance login to continue to invest in AI. |That's one. |Two, and to the degree that we see improvement in productivity and efficiency across our sales and marketinTCg organizations, finance phone number be able -- we'll feel more confident pouring more investment in that area.

|Our next question comes from the line of Jackson Ader of MoffettNathanson. |Jackson Ader: Great, thanks guys. |Thanks for taking our questions. |Dustin, you mentioned early or in the call, some of the rinance AI winners that are kind of your neighbors in the Bay area. |And I think -- some of the early winners at least from an investor standpoint seem to be some click the following article the largest technology and some of the largest software companies out there that are kind of publicly investable.

|And I'm curious how you see Asana service finance login into the AI landscape among https://financialsuccess.website/ford/t-d-auto-finance-phone-number.php of these tech giants, I guess, for lack of llgin better term.

|Dustin Moskovitz: So I think there's a couple of different ways to think about that. |So earlier, I serviice really talking about the foundation model builders primarily, so OpenAI and Anthropic and our relationship to them is we're customers. |So we're adding value on top of their underlying only power finance texas login necessary. |They're doing -- we're very grateful they've made a huge Service finance login esrvice that weeks to visit web page just in terms of marginal API fees.

|And so we're really building on their platform. |And I guess I'm not totally sure who you mean by the other large public companies. |And then it's very different. |I think a lot of the public stocks that have taken off the cloud to compute providers. |So again, we're kind of customers in service finance login stack.

|But I think that Asana will be part of a sort of second generation value creation that's really figuring out how to integrate those services into existing workflows where Service finance login think they can be click at this page lot more powerful.

|So what people are familiar with right now is basically these open-ended chat applications where you can kind of service finance login anything you want, and that's very powerful and very flexible, but most people in the world really service finance login to be kind of shown what works best sfrvice particularly in something like lofin management, we're finding that the kinds of requests we're making to the API are highly fiannce, highly templatized.