Tech Talks Daily
00:18:11 · Gadi Feldman, Neil C. Hughes
So the agents of the brain or their experience coming from the LLMA models, but all your your currently, like, processes or your procedure inside the company come in kind of, like, of knowledge base or knowledge you're adding on top of the agents and the instructions. So kind of the same. It's like you're getting the basic of knowledge coming from the... His experience from whatever, from the wild, and then you top... Putting on top, like, your specific procedure for the company. So without it, you wouldn't get a lot of, like, value from these agents without, like, adding this kind of, like, layer of, like, specific company procedures. [00:18:47] S0: So many great points. And, Jed, I'm curious. When you're speaking with CIOs, what are the kind of business outcomes that are convincing them that autonomous IT is worth pursuing? Are they instantly looking at lower support costs, employee experience, resilience, productivity? Are we still starting to see completely different measures of success? What what are they looking for? What are they measuring here?
00:19:11 · Jed Ayres
[00:19:11] S1: Well, it's interesting because, you know, we just spent the last three years kind of, making nice progress as a category leader in digital employee experience. And this, you know, was a... Is a very expansive, almost, discipline, if you will, inside of IT that, we've we've gotten very very good at walking into the c suite and sharing with them, you know, the value. But the challenge with DeX was that it was so expansive, there were sort of like a lot of different tracks you could take. But I think the nice thing with autonomous, you know, IT operations and this platform we're building is that, you know, it it really is very clear and there's some clear starting points right around the ability to lower support costs, doing it through all the things we've just been talking about. Right? Fewer tickets, fewer people working tickets, way more of them just being automated out. And then, you know, this has been a challenge across the board as the opportunity to show how much more productive capacity the business gets back, only in IT, but also at the front line, right, the actual end user. These can be a little softer, but I think the more sophisticated organizations are figuring out how to sort of, you know, run a clock on both of these times. Right? The time that IT spends fixing it and the time that the employee spends waiting or working around it. So I think a strong business case from... For the c suite measures both. I will say, as much as Gadi said, you know, we're not in the business of, you know, outright replacing tools and he he talked about all the, you know, integrations we have. I think there's 87 of them now, and more coming. They're... You know, where we're almost just creating this massive real time data lake, right, with the ability to do it in our, you know, automations off of all that data and workflows. But I I will tell you, there is a lot of bespoke tooling that we find in organizations and our ability to take those out actually is quite meaningful. I will tell you one other big one that's quite topical right now is device lifecycle management is another big ROI on these platforms because the same, precious resources that people are trying to use to build these data centers for AI is the same ones that go into the endpoint. Right?
00:21:28 · Jed Ayres
And Gartner just published something last week that says of between now and 2030, you can expect the prices are gonna rise by 50%, and the ability to get these devices is is challenged. And so we're seeing, for the first time in my career, organizations are are looking at our performance data instead of the warranty. Right? Where you used to have sort of like a third of the... Or fourth of the enterprise fleet of endpoints would move off the... You know, out out of the organization every year. We're now seeing, hey, we can save millions of dollars by just keeping these, you know, well functioning devices in in service. So that... That's a very interesting use case that drives ROI. It's it's also right alongside that is software reclamation. But the hard one... Hardware one is especially topical right now. If you talk to anybody that's tried to buy fleets of, endpoints, they're very frustrated both in the availability and the volatility and increased price. So this is, this is kind of an exciting use case that we're seeing.
00:22:31 · Neil C. Hughes, Jed Ayres
[00:22:31] S0: Awesome. And one thing I always try and do at the end of every podcast here is give people listening a valuable takeaway. I'll throw this question to both of you. I'll send it to to you first, Jed. But for an IT leader that could be listening today, maybe they're spending too much time reacting to endpoint problems. They wanna move to a more autonomous model. Where would you recommend they actually start? What is one workload or process, that low hanging fruit that might be able to prove value without trying to automate everything at once? Just start at the beginning and then keep moving along slightly. But where should they start if they're a little bit overwhelmed right now? [00:23:07] S1: Yeah. Well, I think one of the thing... We we have something we're calling the seven day challenge where we can come in and we can, in seven days, put down our agents and kind of come back with some very clear, use cases, across ticket reduction or across the software and hardware pieces that I just talked through, and and just sort of delivering some, you know, insights on where we think, you know, that from the... This baseline where we can derive value. And it's pretty, profound, you know, what... You know, a lot of things were done in seven days. We can do some pretty crazy things in seven days here at ControlUp. So I think that's one... Would be my advice is, you know, take our seven day challenge and let us sort of give you a a readout on, yeah, what our data provides.
00:23:07 · Jed Ayres, Neil C. Hughes
[00:23:07] S1: Yeah. Well, I think one of the thing... We we have something we're calling the seven day challenge where we can come in and we can, in seven days, put down our agents and kind of come back with some very clear, use cases, across ticket reduction or across the software and hardware pieces that I just talked through, and and just sort of delivering some, you know, insights on where we think, you know, that from the... This baseline where we can derive value. And it's pretty, profound, you know, what... You know, a lot of things were done in seven days. We can do some pretty crazy things in seven days here at ControlUp. So I think that's one... Would be my advice is, you know, take our seven day challenge and let us sort of give you a a readout on, yeah, what our data provides. [00:23:58] S0: Awesome. And just to bring you in as well, Gadi, now for... You must get to see and hear a lot of stories. And when it comes to that seven day challenge, anything you've learned or anything you'd pass on to people listening and wanting us to get started?
00:23:58 · Neil C. Hughes, Gadi Feldman
[00:23:58] S0: Awesome. And just to bring you in as well, Gadi, now for... You must get to see and hear a lot of stories. And when it comes to that seven day challenge, anything you've learned or anything you'd pass on to people listening and wanting us to get started? [00:24:10] S2: I mainly I mainly, like, usually said, we'll try to understand before what you have. Because currently, like, I think, like, a lot of people are missing the the the picture of what they currently have in in the in in the... Within the fleet. For example, they're not sure about, like, how how AI agents have been utilized by their end users or what they are using, which MCPs, which which models, which data been shared, and so on. It's something like just understanding it is is the starting point that will lead to them to actually take another step to to take more knowledgeable or more like a more smart decision about how we want to to to continue with that. [00:24:50] S0: Beautiful. I think it's a great moment to end on. And for anyone listening that would like to find out more information, I will add a link to both of your LinkedIn profiles. And, Gadi, I owe you an apology, actually. I I introduced Jed as someone I've spoken to before. I don't know if you remember this, but we have spoken to. I think it was about five or even six years ago Really? When I was hosting a Citrix podcast back in the day. [00:25:11] S2: So I think we talked about our synthetic monitoring solution. [00:25:14] S0: Yes. Yeah. [00:25:15] S2: Yeah. We just released it. Yeah. Yeah. Yeah. Nice.