So we’re really encouraged. We have, in fact, we have like 34 booked meetings with Oracle clients, and we’re their prebuilt technology solutions. So that’s really encouraging. We didn’t close — we’ve got seven other deals that are in the kind of targeted quarter and the ACV 600. So we didn’t get the big ones, but it looks like they’re coming through the system. And then you look at Q4, the ACV jumped to 900. So all the things that we’ve been working towards it feels like these things are starting to open up. Like I said four already on the smaller side, but again, one on Oracle. So this is — these are good green lights for us. We’re still cautious. We do think, as Ben mentioned that the bookings is going to be lumpy. Because when we sell — we closed $1 million ACV deal versus a $250,000 ACV deal, obviously, that’s vastly different.
But if you look at where the deals in our pipeline that are red lines. I mean that — the contracts of redline going back and forth between our team and their team, you look at the back half of this border and going into Q4, really, really, really impressive transactions in front of us. So not a lot of great press releases from us in the last quarter or two, but I think those are coming again. So we’re excited about that.
Matt Hewitt: That’s very encouraging. Thank you. And then maybe a separate question. So congratulations on the new AI or jumping into the AI for — was this a product that was requested by customers? Was this something that you guys have been working on and realize that now is the time. What is feedback? And I realize it’s just launched. But what is the feedback — initial feedback been from customers? Any additional color on that would be helpful. Thank you.
Tee Green: Yes. Thanks, Matt. This is Tee again. I’m going to let Ben opine as well. But you can’t go into a customer or client prospect meetings without the word AI being asked about even if the questioner doesn’t really understand what they’re asking, right? It’s in every conversation if you’re in technology. We started working on the AIML technology here at Stream well over 1.5 years ago, defining what we could do, how we could use it. And so what we’ve done is we’ve rolled it out internally in our rules division. So where most of rules in the health care world or in the RCM world are being written by humans, right? And so now we’re able to introduce technology that’s able to find things that were wrong with rules, but also find things that weren’t even written by humans.
And we’ve just started this process. And as Ben mentioned, we’ve already down $20 million of additional revenue capture for our clients. And this just — we just rolled this out in the last month. And so clients haven’t seen it yet. They’re not touching it yet. It’s only our internal team. So we’re kind of eating our own dog food, if you will. Ben, do you want to make any further comments on that?
Ben Stilwill: Yes. We’ve hyped it up a little bit with our clients already, and so they knew it was coming and it’s somewhat intuitive. The process that we go through today is having individuals do a lot of this research on their own, a lot of reporting, a lot of data mining on their own. And it just cuts out that whole initial research step and give us very intelligent findings right off the bat. And I think the users themselves, our internal users are excited about it. But then our technologists are just thinking and very excited about how that’s going to expand into a variety of areas and eventually be client-facing and do all sorts of things, but we’re already talking about it with current clients are already hyping it up with our prospects as well.
Matt Hewitt: That’s great. All right. Thank you very much.
Operator: Thank you. Our next questions come from the line of Aaron Wukmir with Lake Street Capital. Please proceed with your questions.
Aaron Wukmir: Hey, good morning, guys. This is Aaron on the line for Brooks this morning. So just last quarter, you mentioned a couple of goals towards making progress towards sort of your annual priorities. Are you comfortable with where you’re at in terms of sort of scaling the RevID and maybe increasing client effectiveness through the eValuator usability. And if you could just give a little bit more color on progress there? And if there’s sort of a higher priority that you guys are focusing on going into the back half of the year here?
Tee Green: Yes. Thanks, Aaron. This is Tee, and I’ll start and let Ben opine as well. But RevID, major, major progress. And we knew going into it, there was the re-architecture that was going to have to be done on the platform. Not unlike any innovation projects, it was probably a little larger than we envisioned. But that tech has been — it is wrapping up and glad it has wrapped up for the cloud — and it’s now a true cloud-based platform. We have — I don’t know — don’t hold me to the exact numbers, Ben. But what is — I think we’ve lowered our infrastructure cost almost like $40,000 a month something like that. I mean just major. And now it can scale to the enterprise because everything we’ve talked about, it has to be in our class.
It has to be enterprise class. And so that’s been really cool. It’s going to increase our velocity and how we tackle future projects on the platform now. We’ve actually, for the first time, we have a project-based road map for RevID. So we know what we’re building in every sprint. You couldn’t do that until you had the architecture ready. So the architecture is ready to go — on eValuator, it is enterprise class. I mean it’s an exciting tool that is continuing to grow and create opportunities for Streamline. So technology-wise, the biggest things right now on — like a eValuator is really getting the epic, I mean not epic, but getting the defined road map for eValuator, it’s really making sure that, that two-year road map that we have in front of us is just continually been evaluated with our clients.
We can go really, really fast on the eValuator side. So that’s exciting. I don’t see anything other than the introduction of AI and ML on that platform. That’s obviously the biggest thing we’ve done and clients are going to receive the benefit of that in the next several quarters. So that will be cool. But Ben anything specific about these two platforms?
