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And I think that in the last few years, what we've kind of heard and, you know, some of it has come from OpenAI, but especially from Microsoft, that we're in this co-pilot world and these co-pilots have universally failed. The level of accuracy, the spillage of information, the lack of trusted environment co-pilot has been a complete disaster. And that idea that this kind of amount of technology got, you know, released and sold into these very large customers telling them that the promise of AI
Google has some great products. I know Sergei was here yesterday and they've done a great job with AI, as you know. But in a head to head benchmark of Salesforce's agent force against Google's AI, we 2X them on accuracy. And the reason why is we'll explain it next week. You know, it's a couple of things. Not only is there our next gen models, but it's also new techniques involving next generation retrieval augmented generation rag techniques that no one has seen before.
Disney can proactively go out to their consumers and their customers and say, hey, come enjoy the heat with us all. You know, Disneyland, we're going to give you a special promotion or price or contest or whatever it is to come to Disneyland. So we want to be able to proactively go out and generate revenue.
Now with Disney, if you go to DisneyStore.com, that's Salesforce. If you go to the Disney parks... Disney guides run on Salesforce. They have Slack too. They've got, we do DisneyStore.com. We have Disney Plus because, you know, the service now like fell over and we had to like replace that inside the Disney Plus call center. We have, we'll do the Disney cruises and the Disney real estate and we have every Disney customer test point all wired up. So the amalgamated data set that we have around Di
I was just with Disney last night. And Disney has AgentForce. They have the newest version, which we call Atlas, which is our most accurate, not just model, but we have an extremely unusual technique that we'll talk about. And Atlas delivers for Disney, for their cast members, which are their employees, through extremely complex problems that it's solving for them, more than 90% accuracy and almost no hallucinations. And in some cases, 95% accuracy and almost no hallucinations.
I think in the last few years, what we've kind of heard and, you know, some of it has come from OpenAI, but especially from Microsoft, that we're in this co-pilot world and these co-pilots have universally failed. The level of accuracy, the spillage of information, the lack of trusted environment co-pilot has been a complete disaster. And that idea that this kind of amount of technology got, you know, released and sold into these very large customers telling them that the promise of AI is here,
And I think that for our customers, they're going to augment their employees. They're going to make things lower cost. They're going to increase their revenues.
And that's how I feel right now about Agent Force. This is all I am doing. Just try to take our company. You know, we have a great company, 38 billion in revenue, 75,000 employees, hundreds of thousands of customers, and one focus, Agent Force. This is because of what you're saying. This is the moment. This is the greatest opportunity in the history of enterprise software. And it must be executed with absolute acuity and excellence.
I've seen this now with a number of our customers, that they're kind of DIY in their AI. And, you know, DIY, I think it's fine if you're like Neil Young, and it's homegrown, and it's Canada, and it's, you know, Ontario. But this is not what you should be doing with your artificial intelligence.
These are not the bots you're looking for. These are like, we're really getting to like another level capability. And I think that it's pretty impressive.
I think in the last few years, what we've kind of heard and, you know, some of it has come from OpenAI, but especially from Microsoft, that we're in this co-pilot world and these co-pilots have universally failed. The level of accuracy, the spillage of information, the lack of trusted environment co-pilot has been a complete disaster.
in a head to head benchmark of Salesforce's agent force against Google's AI, we 2X them on accuracy.
We are already at that point. We already have that live and we will have that scaled for thousands of customers before the end of live for with thousands of customers live before the end of this year.
They have the ability to do things that are truly astonishing and that is also generate revenue. So they can go out and like on a day like today, like it's 100 and something degrees outside... Disney can proactively go out to their consumers and their customers and say, hey, come enjoy the heat with us all. You know, Disneyland, we're going to give you a special promotion or price or contest or whatever it is to come to Disneyland. So we want to be able to proactively go out and generate revenue
The efficiency and productivity that we've been had with AgentForce is like nothing I have ever seen with any of our customers or technology in the history of software.
By the end of this month, we'll have more than a thousand customers on our AgentForce platform.
We're running the largest banks, insurance companies, media companies, CPG companies, blah, blah, blah, blah, blah in the world.
We're working with a large medical company, not so far away from here, Kaiser. We've got 20 million patients. They have a super complex data set. They have all of the data from Epic. They have the largest Epic customer in the world. And more than 90% of all patient inquiries and scheduling requests and schedule my doctor, schedule my CT scan, my MRI, my this, my that are being resolved by Agent Force and Atlas.
We have every Disney customer test point all wired up. So the amalgamated data set that we have around Disney is awesome. So when we can take that Disney data set and then we apply Atlas and Agent Force, we are able to deliver a level of accuracy that has been incredible.
Disney has AgentForce. They have the newest version, which we call Atlas, which is our most accurate, not just model, but we have an extremely unusual technique that we'll talk about. And Atlas delivers for Disney, for their cast members, which are their employees, through extremely complex problems that it's solving for them, more than 90% accuracy and almost no hallucinations. And in some cases, 95% accuracy and almost no hallucinations.
To make AgentForce really deliver, we had to have all of our customer touchpoints wired up, which we do. We have to have an amalgamated data cloud because we need the data, especially to achieve the AI accuracy and the metadata as well. And we have to have the agents. It's these three layers that are really going to deliver this next generation capability.
AgentForce is the most exciting thing I have ever worked on in my career. It's the culmination, really, of everything that we've done at Salesforce.
We're at the precipice of the greatest moment in the history of enterprise software and of cloud computing. ... I'm really convinced that we are now really at the moment, right now, where enterprise software is going to be completely transformed with artificial intelligence. ... Einstein has done amazing. You know, it's doing trillion transactions, trillion and a half transactions a week, predictive, generative.
We came out with three models. The cloud model, which you also have been part of that. The subscription model, you've also been part of that. And the philanthropic model, and you've been part of that. And those ideas that we're doing three models, that continues to be the fuel for the company and extremely important.
Look, I think that the growth, obviously, is incredible to $38 billion. And obviously, the cash flow is incredible. It's more than Coca-Cola did, I think, last quarter. And the margin is incredible.