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In this episode of the SourceForge Podcast, we discuss the future of AI-powered IT operations with SuperOps, an AI management platform for managed service providers (MSPs) and IT teams. The focus is on “agentic AI,” which autonomously takes action rather than just providing suggestions. Damo Vasudevan, the VP of Products at SuperOps, explains how agentic AI differs from traditional automation and generative AI, using the analogy of autonomous vehicles. SuperOps’ AI assistant, Monica, embodies agentic AI by proactively solving IT issues, enhancing workflows, and decision-making. Real-world examples highlight how agentic AI improves efficiency, reduces manual intervention, and transforms MSP routines. The podcast also explores different AI forms—augmentative, semi-autonomous, and fully autonomous—and their applications in IT tasks like patching. Agentic AI’s impact on productivity, profitability, security, and compliance is discussed, with examples of MSPs achieving significant improvements in service delivery and client satisfaction. The balance between AI autonomy and human involvement is emphasized, with configurable AI settings allowing MSPs to adjust autonomy levels based on confidence.
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Show Notes
Takeaways
- Agentic AI takes proactive actions rather than just providing suggestions.
- Monica AI exemplifies agentic AI by learning and solving problems autonomously.
- MSPs can significantly reduce ticket resolution times with agentic AI.
- Augmentative AI nudges users with reminders, while semi-autonomous AI requires confirmation.
- Agentic AI can improve client satisfaction and operational efficiency.
- AI can handle repetitive tasks, allowing technicians to focus on high-impact work.
- The balance between AI autonomy and human oversight is crucial for effective operations.
- Agentic AI can lead to measurable productivity gains of 40% or more.
- Security and compliance can be managed more effectively with agentic AI.
- MSPs should adopt agentic AI to stay competitive in the evolving tech landscape.
Chapters
00:00 – Introduction to Agentic AI in IT Operations
02:54 – Understanding Agentic AI vs Traditional AI
05:59 – Monica AI: The Agentic AI Assistant
08:57 – Real-World Applications of Agentic AI
12:13 – Balancing AI Autonomy with Human Oversight
15:00 – Measurable Impacts of Agentic AI on MSPs
17:53 – Enhancing Security and Compliance with AI
Transcript
Beau Hamilton (00:05)
Hello everyone and welcome to the SourceForge Podcast. Thank you for joining us today. I’m your host, Beau Hamilton, Senior Editor and Multimedia Producer here at SourceForge, the world’s most visited software comparison site where B2B software buyers compare and find business software solutions.
Today on the show, we’re talking about the future of AI-powered IT operations with SuperOps, an AI-powered IT management platform designed for modern managed service providers in IT teams. At the heart of their service is Agentic AI, a new sort of paradigm where AI actually takes action on its own, not just spit out suggestions like you’d see in a chatbot. It’s making waves in the IT world by helping tech teams get ahead of issues before they even happen.
And joining me to talk more about this Agentic AI world we’re ushering ourselves into is Damo Vasudevan, the VP of Products at SuperOps. We’ll break down what Agentic AI really means, how it’s different from the usual AI hype, and why it might be a game changer for anyone working in tech support or IT services.
And if you’re curious to see all of this in action, SuperOps is hosting Super Summit Dallas on June 26th, a one-day event packed with insights, demos, and real-world strategies to help MSPs scale faster and smarter. So definitely mark your calendar. It’s coming up fast. You’re not going to want to miss it. And you can visit the link in the description of this episode or on screen if you’re watching on YouTube.
With that said, let me introduce Damo Vasudevan. Damo, welcome to the podcast. Glad you could join us.
Damo Vasudevan (01:32)
Thank you so much, Beau.
Beau Hamilton (01:34)
Now, in my introduction, I provided a really general definition of Agentic AI. But it’s a term with various meanings depending on the context. How does SuperOps define Agentic AI? And how is it different from traditional automation or generative AI tools that we see in MSP operations?
Damo Vasudevan (01:55)
That’s an excellent question, Beau. At SuperOps, we see Agentic AI as automation with genuine intelligence, automation that anticipates and proactively solves problems rather than just wait for introductions, right? Traditional automation is predictable, like driving your sedan. You drive it and you control it and everything is the way you want it to go. Generative AI, on the other hand, is a lot more creative, like your navigation app that gives you directions and suggests different routes when you hit traffic.
But Agentic AI is a lot more advanced and nuanced. It’s your fully autonomous vehicle that sees roadblocks, adjusts to things that are happening in your environment, and automatically guides you to where you want to go, asking you for suggestions from time to time, right? From our perspective, that is where Agentic AI is. While full autonomy is where it is. It understands context and significantly reduces manual oversight.
Beau Hamilton (02:56)
I like that analogy. Because, I mean, one, it’s like everyone drives a car. I kind of understand that well, but also it’s, we’re seeing the autonomous cars coming down the pipeline, I guess, right? So, yeah, it’s perfect analogy, thanks for painting that picture.
I know from also like an IT perspective, I imagine, the AI, Agentic AI you’re concerned with is really all about like helping monitor systems, detect various issues and just make decisions without necessarily waiting for human intervention, I guess. I think that’s super interesting.
Now you didn’t mention this, but I know SuperOps has their own AI assistant called Monica, right? That’s designed to tackle a lot of these IT tasks and different things that pop up. Can you explain how Monica AI specifically embodies Agentic AI principles to enhance things like various workflows and decision making.
Damo Vasudevan (03:51)
Yeah, one of the things that we thought about when we designed the SuperOps AI itself is to how exactly should we deliver that AI. How should we deliver the experience of an agent-ic AI to our customers? And what came up is we need a persona. We need some humanoid that actually converses and talks to the different personas interacting with our product so that they can understand and configure her to suit their needs, right?
So Monica AI truly exemplifies Agentic AI by acting like the perfect colleague, always available, always efficient, constantly learning from everything that they’re doing within the platform and around. She monitors your MSP environment, identifies patterns, predicts potential issues, and even proactively resolves them if you let her, right? And does all this in sometimes even before you can, your team even notices.
So in terms of like from script generation to, to, you know, recommending solutions to automatically dispatching tickets, all this can be done by Monica so that your technicians can focus on high impact work rather than getting caught up in repetitive tasks and, you know, getting tired by the end of the day, right? Think of Monica AI as that colleague who quietly solves problems before you even know existed and doesn’t touch your lunch in the office fridge.
Beau Hamilton (05:16)
I love that. How long have you had, how long has Monica been available?
Damo Vasudevan (05:23)
Monica has been around for almost, I would say, six to eight months now. So she’s gone through a few avatars. Initially, she was just more of like a system that sort of popped up and announced herself and gave some insights. But now she’s getting a little bit more capability, understanding MSPs and being able to suggest solutions and even prescribe things to make them more successful.
Beau Hamilton (05:51)
Very cool. OK. Yeah, so she’s had some time to kind of get more refined and build out the feature set. That’s exciting. OK. So now, yeah, obviously you’re kind of updating and innovating Monica with these Agentic AI properties. Do you have any real world examples that sort of highlight how Agentic AI has transformed the routines that MSPs often require?
I think of things of ways like increasing efficiency or reducing manual intervention that’s often needed in the IT world. But what are some real world examples?
Damo Vasudevan (06:26)
Yeah, in a lot of cases, MSPs start their day manually sorting through several tickets, assigning those tickets, managing software updates, responding to alerts, and trying to manage all this proactively as well as reactively, right? Depending on what the scenario is. And it’s a very, very strenuous day that many of the technicians and many other personas go through in the product.
Once they implement and start going through the agentic AR route, a lot of these repetitive tasks automatically reduce. One notable example is an MSP who actually reduced their ticket resolution by over 50%. And what they did is just take care of simple things like automatic ticket dispatch. And now they’ve freed up to tackle bigger and strategic initiatives, be that human touch that a lot of their customers actually need, and have the time to actually focus on going and upselling and finding new customers you say could not do before.
Beau Hamilton (07:30)
Wow, OK, that’s exciting. I want to keep asking you about some more of these examples because I think the tangible side of things really resonates with me. And I imagine many of the listeners tuning in right now.
Before I do that, though, I just want to get a good understanding of the different forms of AI, agentic agents that are out there. Because I know you guys mentioned there’s the augmentative. You have the semi-autonomous and then the fully Autonomous AI. I think the last two sort of speak for themselves, but augmentative is an adjective that I haven’t heard before to describe a form of AI. Could you share some maybe practical scenarios within the environment you work in to kind of illustrate each of these different forms?
Damo Vasudevan (08:18)
Yes. So actually, you know, Augmentative AI is actually the first level of having an helpful assistant who just nudges you with reminders, right? I’ll give you an example of all these three types of AI with an example around patching.
Patching is something that every MSP does, you know, keeping the software patched and up to date is like sometimes 50% of what they do, right? But Augmentative AI is a helpful assistant that tells you that a patch is available, go ahead and start applying.
Semi-autonomous takes it a bit further. It automatically applies these patches, but then looks for your confirmation to sort of finalizing and approving the patch and taking it forward. And that’s where a lot of the systems are right now.
Fully Autonomous AI is your assistant where you give it like a patch percentage, like I want to have 95% patch compliance and you let it do all the patching activities based on how different users behave, like turn on, then turn off their laptops and things like that, so that it can achieve the outcome. It almost behaves like a fully functional patch manager and only comes to you when it cannot do, it’s unable to keep that 97% patch compliance. So it’s almost like a helpful assistant that would just come to you and say, know, all tasks are complete. Enjoy your weekend.
Beau Hamilton (09:41)
Right. Yeah, thanks for breaking that down for us. It’s interesting just to hear about how they’re all used in their own way and kind of, yeah, valuable handling their own specific tasks. It seems like, I mean, the tools that have existed for a while, the AI tools are kind of moving to this fully Autonomous AI form ultimately to improve efficiency, right? And that sounds like what Monica’s doing. So, you know, many of the tasks.
Now I want to continue to ask you about some of the real world, like tangible value ads that Agentic AI systems can provide specifically with Monica. Do you have a, any notable success story that comes to mind where, you know, you’re this tool has really improved service delivery or profitability after was adopted? Cause I know you mentioned the 50%, you know, efficiency gains handling support tickets. Any other ones that come to mind?
Damo Vasudevan (10:35)
Sure. Actually, I’ll give you an example of a customer. He’s an MSP in the education sector in Chicago, managing over 5,000 different endpoints, as you can imagine, with different K-12 schools, and with just 10 technicians. So you can imagine the overload of tickets and things to fix that they had to do all the time.
And by the way, they just didn’t adopt SuperOps. They’re also a Microsoft shop. So they used Agentic AI as a concept across SuperOps and Copilot in Microsoft. So they truly used Agentic AI to sort of normalize their onboarding process.
So they used, because many of the laptops that they bought on board were actually Microsoft laptops. They had to use the Copilot part of Microsoft, which is again agentic, to do one portion of their onboarding and then the remaining onboarding, doing it through SuperOps, right? And this sort of like having agents, agent AI apply itself on like an onboarding workflows gave them a dramatic shift in how quickly they can bring a new school onboard very quickly, right?
It’s almost 60% improvement. Client satisfaction is again, highly important because now they don’t have to worry so much about like, you know, taking time to like set up a computer anymore and profitability stored for them because they don’t really have to worry about doing all the reactive things. They could use multiple AIs, Agentic AI based on where the customer was and make it successful.
Beau Hamilton (12:13)
Interesting. Now, how do you balance having the Agentic AI handle a lot of these customer support requirements, but also maybe keeping a human in the loop, having the human side of things still be present? Is that, because I imagine there’s that dichotomy you’re always trying to balance.
Damo Vasudevan (12:34)
That’s an excellent question. Actually, that is something that even we struggle with. And that’s the reason why in Monica, in SuperOps, we make a very conscious effort to make our AI completely configurable. So the amount of autonomy that you can have in these AIs can be completely configured using like a admin screen in SuperOps.
So the benefit of that is that based on how much confidence the MSPs have in how these AIs perform, they can actually tune it and allow it to work either as an informational AI or make it semi-autonomous. And if they feel like they have complete confidence in how this does patching over time, because it always learns every time it does another patch and gets feedback from whoever gives it authority, it can actually run fully autonomous. So giving that tunability is something that we have purposefully built into the platform so that this can be adjusted and tuned based on the confidence of an MSP.
Beau Hamilton (13:32)
And I imagine also you still have human customer support agents available if it can’t answer a certain problem, right?
Damo Vasudevan (13:41)
Yeah. Yeah. Yeah. So the whole concept of having Agentic AI is I think we are far from being completely autonomous in many places. When I say full autonomy of patching, it is just one small portion of what the agent does. So when you look at what has been the most effective way of using AI right now, it is mainly in the informational and the semi-autonomous, where there’s a lot of human in the loop because the more trained the AI gets, again, AI, agenting AI has been in place only for like about a year, right? It’s going to take a while for it to mature to a point where it can hit that level of confidence.
Even though we can write code to give that level of autonomy, I still believe semi-autonomous with human in the loop is the most effective way that it’s been adopted. And all the MSPs who are tasting initial success are all those kind of MSPs who use it, along with the human agent in the loop.
Beau Hamilton (14:38)
Yeah, I’d have to agree with you too. I think you can’t lose that kind of human element completely. And I think, yeah, obviously when you have this kind of new technology, this new breakthrough, you see kind of companies jump on the kind of marketing bandwagon and claim to use, like I remember when the term agent first came out, we were seeing companies mention and incorporating it without it being the true kind of fully Autonomous AI version that it claims to be, right?
So I think it’s good to differentiate the different stages and what it’s working towards, but also where it’s at right now. And again, like you said, it handles a couple fully autonomous tasks, but also that’s just a couple of the things that it does. It does a lot of other things as well.
Damo Vasudevan (15:30)
Yeah, the future is obviously bright given all these technologies with their learning mechanisms are there. I mean, they’re progressing at a very fast rate Beau. So these are things that as they learn, they’re getting better and better. But I think full autonomy, we still away from that at this point.
Beau Hamilton (15:47)
Yeah, so drilling into the last question I have for you, again, trying to get some more tangible real-world use cases. I can see this technology having a big impact on costs and productivity. What are some of the specific measurable impacts MSPs experience after implementing Agentic AI?
Damo Vasudevan (16:06)
So Agentic AI, all the manual tasks that they were doing, I would argue that pretty much all of them have some measurable improvement, like in the 10 or 20%. Many actually hit about 40% improvement in terms of productivity gain. And that productivity gain can manifest in multiple ways in terms of either profitability, because now they can actually go and add more customers to their system that they could not before. They just didn’t have the people to handle it or give them the time to go do that extra customer touch that is high value and keep their customers sticky. And at the same time also go and be able to be profitable as an MSP by figuring out who’s the customer that they can focus on for most value, right?
So while it’s that counterpart that many MSPs are using so as to give a multiplier in the number of people that it looks like an MSP has. Just to give an example, many of the MSPs who adopt this, even recently as recently as last month in London, explain that many of their customers are asking them, hey, did you hire like three, four more people? Because I’m seeing like your ticket deflection go, you know, everything is improved. You just suddenly increase people and they’re like, no, all we did is, you know, hire some agents.
Beau Hamilton (17:28)
Interesting. Wow. Yeah. I just had the different tasks automated. And obviously the fact that it’s being questioned, whether you hire more people means it’s doing obviously a good job. Like it’s, kind of replacing a lot of, some of the, the tasks you would otherwise delegate to a person, I suppose.
Damo Vasudevan (17:47)
Yeah, and it’s a lot of it is actually very repetitive ground work that even the, you know, technician is, finds it time consuming Beau. It’s not a fun activity anyways. So this is like crunching a lot of data and finding out like when to apply a patch and things like that, and just makes them more productive. It’s like that sidekick you thought you never had.
Beau Hamilton (18:06)
Right. No, that’s a good point. Cause it’s, that’s something I hear a lot where it’s it automates tasks that no one likes doing and it frees it up and makes it almost like more meaningful for the employee, for the worker, right? Cause they’re able to do something more productive and more fulfilling, I suppose. Yeah, I think that’s it. That’s actually a really good point that you mentioned.
So two of the many areas I imagine this technology having a big impact on are helping with a client’s security posture and compliance, just because these areas can be so complex and overwhelming for human teams to manage alone. Can you talk about how Agentic AI specifically helps MSPs in these two areas, security and compliance?
Damo Vasudevan (18:47)
So Agentic AI actually does an excellent job of security because that is the biggest concern that most MSPs have in this new time and age. Where cybersecurity threats are increasing, vulnerabilities are not being able to, we can’t patch them fast enough. And there’s new threat actors who use actually Agentic AI to create these scripts to hack systems. So it’s a very complex environment out there with a lot of signals coming from several sources. So it almost makes it impossible for a human to sort of make decisions on that in real time.
Agent TKI does this very well because it can actually proactively manage client security by continuously monitoring systems, identifying vulnerabilities, and applying the necessary patches and security configurations and keep things up to date, right? Additionally, it can also predict compliance issues and take actions and even before the audits take place.
Like I was saying, one MSP humorously noticed that instead of the compliance audits, used to take a long time has been the equivalent of watching cat videos, right? Because the AI consistently kept systems audit ready and ready for, I mean, compliant the whole time. And in some ways, this proactive approach significantly reduces the risk of security incidents, which is where we need to go given the increased regulatory fines giving both the MSPs and their client that peace of mind that they could, you know, that’s really good for them.
Beau Hamilton (20:21)
Yeah. And I think it’s just worth reiterating the fact that like there’s, it’s a kind of a cat and mouse game with bad actors using AI for like malicious nefarious purposes. So you almost need, well, you absolutely need IT teams to kind of also implement AI to just be able to combat some of these use cases, these bad use cases. So I think that’s just really important to mention too. And it’s good to hear that you’re, you’re staying on top of it and kind of continuing to innovate, by incorporating it. And then obviously the compliance just speaks for itself. I mean, no one really enjoys dealing with the compliance issues. So any way to kind of automate that I think is for the best, you know?
Now, one of the biggest challenges MSPs face as they grow, you know, is just figuring out how to scale their operations without constantly needing to add more people to their team. Because there’s only so much you can do with limited resources, which I think is where Agentic AI seems to really shine and offer sort of real upside. In what ways does Agentic AI empower MSPs to just scale efficiency without having to sort of increase your head count at the same pace?
Damo Vasudevan (21:31)
See, Agentic AI effectively serves as the invisible workforce, right? It scales operations seamlessly and handles a lot of the routine tasks autonomously over time. So MSPs can manage more endpoints and onboard more clients without proportionally increasing staffing or overhead that they have to right now.
So right now, the way they every 150 endpoints or at every certain breaking point, they have to add a new technician without which they can’t think of managing and growing and being more profitable than growing to the next generation of MSPs. Essentially, it’s like having that additional employee who never requests desks or health insurance, but actually helps you. And it’s something that most MSPs that use Agentic AI report like smoother scaling, increased revenue, and grow very quickly, like in the first few months itself of using Agentic AI.
And reduced operational headaches, obviously, because they don’t have to worry about traditional methods of onboarding, letting a person learning before they can be productive and things like that. So it gives you a very quick fix to a problem that has been plaguing the industry for a while.
Beau Hamilton (22:45)
Yeah, I think there’s just more, there’s more and more use cases that we’re seeing this technology able to accomplish. And so as a result, you’re going to see more kind of ramifications, more upside, you know, in addition to just the general efficiency gains and not being able to like have to reduce or increase your head count to tackle some of these problems.
Really interesting discussion. Thank you for all the insights you offered there. Cause it’s just, yeah, I need to talk about and hear about sort of this next evolution of AI and how it’s impacted the industry.
I want to switch our attention slightly to SuperOps’ upcoming event in Dallas, which is aptly named, I shall say, Super Summit Dallas. What are some of the main goals of the event and how will it address the evolving MSP needs in this AI-driven world and era we’re all living in?
Damo Vasudevan (23:35)
Our primary goal for Super Summit Dallas on the 26th of June at the Virgin Hotel Dallas is straightforward, but ambitious, right? We want to empower MSPs to be able to confidently adopt and maximize Agentic AI to drive business growth and operation excellence. Like that is what we want to do.
There’s no sales pitch happening at all at the summit. It’s all about getting the MSPs to understand the value of AI, talk about what others have done with AI, and showing them enough so that they can leave with actionable insights and a roadmap to leverage AI within their MSP for sustainable growth and profitability. But given what we have in this AI era, like what we say, MSPs won’t be replaced with technology. They’re going to be replaced by MSPs who master technology first, right? So that’s the mantra of the event to make them embrace and use AI to become more profitable and successful.
Beau Hamilton (24:38)
Very cool. So yeah, if you’re interested in the event listeners, you can tune in and just hear about this topic being kind of unraveled and talked about in detail. That sounds exciting. What are some of the key sessions or speakers at the event that we can expect to see?
Damo Vasudevan (24:55)
So we usually get a blend of industry leaders, thought leaders, renowned MSP veterans, and some AI visionaries to sort of share their firsthand thoughts of what AI is changing in the past year and how each of them can talk about their way of leveraging agent AI for success.
You can expect engaging sessions on real world use cases. And many of these are not even SuperOps customers, right? So it’s best practices from MSPs who use, have used AI exclusive previews of like innovations that they’re talking about. And basically it is a combination of all the things that you can use AI in an MSP. It’s just not a technician-focused event.
It’s going to have Mat Kordell talking about MSPs business models, how things change in the AI era so you can figure out how to price and how to change a business model for success. Matt Solomon, who’s going to be talking about MSP growth strategies. And then Charlene Ignacio is going to be talking about lead generation AI. So a lot of the content is, of course, to talk about technician efficiency, but also how to grow, do your marketing, acquiring customers, and how to succeed as an MSP overall with AI, which is very informative.
Beau Hamilton (26:19)
Yeah, that’s super exciting. All right, June 26th, it’s marked on my calendar. Now for those listening or watching on YouTube, where can they go to tune in and learn more?
Damo Vasudevan (26:30)
I think they can visit the SuperOps page, superops.com, or they can go to the link on the bio or whatever’s flashing on screen. Please do attend. It’s going to be a day of a lot of great sessions and fun takeaways as well.
Beau Hamilton (26:48)
Awesome. Okay, cool. I’ll be tuning into that for sure. And, I just want to also hear your thoughts before I let you go. I know you’re a busy guy. You got a lot going on. I want to get your thoughts, like where this is all going? Like how does SuperOps envision Agentic AI evolving over you know, the next few years or so? If you can even look that far in the future, because it’s changing so fast.
Damo Vasudevan (27:10)
Yeah, the future of Agentic AI is actually incredibly exciting with so many big and small companies innovating in that space, right? Especially for the MSP in the IT space, we envision it managing increasingly complex tasks, autonomously enabling technicians to focus on more strategic decisions, relationship building and innovation, right? So we find like the human touch is something that is going to be amplified with Agentic AI.
But that said, Agentic AI is going to go deeper into integration, advanced predictive analytics. We’re looking at natural language interfaces and in some cases, fully autonomous agents as well who can take over and run end-to-end IT operations for a certain part of the business. Things like some levels of technicians who, you know, who some portion of the activities can be fully automated and it’s running there pretty fast, right?
Imagine like say, you know, some of them like an MSP owner coming and saying, Monica optimize everything, right? And everything just getting optimized right away. It’s the future, right? And every single persona that is doing IT at this point is going to have at least one sidekick, if not an assistant who can help them realize their full value and be successful as well at the same time delivering a lot of value for their customers. So it’s very exciting times. But I believe we’re just getting started.
Beau Hamilton (28:36)
That’s exciting. Yeah, I feel like for MSPs thinking about the future, especially those considering attending SuperSummit Dallas, feels like Agentic AI is the key differentiator. And it’s not just about doing things faster, it’s about doing them smarter as well. I think that’s just a great kind of takeaway and note to reiterate.
That said, I got one more question for you. What kind of competitive advantage does adopting Agentic AI give MSPs who are just looking to level up their operations, you know, or stand out in a crowded market?
Damo Vasudevan (29:14)
At some level, Agentic AI does offer a competitive advantage for the MSPs that are adopting it first. There is some first-pull advantage, but given the technologies available and getting better and faster and more easily consumable over time, that is not something that can be maintained. It’s the equivalent of bringing a lightsaber to a knife fight. MSPs adopting AI can deliver superior service, they can boost productivity, and they can scale effortlessly compared to somebody who doesn’t.
And in some cases, if you look at MSPs who look at manual methods, who continue to use the methods that they’re using right now, they have risk of being slightly obsolete, given the MSPs with AI can actually pitch a better game, talk better about the tech and deliver a much higher satisfaction at a much more elegant price point as well.
So it’s all like, at some level, it’s just the people who adopt, actually the people who adopt Agenting AI won’t just survive, they will actually lead and thrive in this. So we just want the leaders to sign up now and get the whole industry forward.
Beau Hamilton (30:30)
Yeah, I mean, if you’re an MSP and you’re not thinking about this technology, I mean, it’s already, you really need to be, to say the least. And it seems like what you guys are offering is very compelling and it kind of speaks for itself with some of the benefits.
I also, I sort of lied to you that I’ve got one more question and that’s just where can listeners go to learn more and get in touch with your team?
Damo Vasudevan (30:55)
So best place to go is the superops.com. We also have a superops community where you can log in and participate in the discussion and talk about what we’re doing in AI. And we’re very passionate about the fact that it’s a community effort. It’s not just SuperOps building tech. We want to build tech with the community.
And so whatever we build, even with AI, we build it working very closely with MSPs in our community. So we encourage you guys to come and join, discuss, ask your questions, and we’ll be more than happy to engage and move you guys forward.
Beau Hamilton (31:35)
Awesome. All right, that’s Damo Vasudevan, VP of Products at SuperOps. It’s been a lot of fun chatting with you. Thanks for all the insights. I appreciate it.
Damo Vasudevan (31:42)
Same here Beau, pleasure talking to you and looking forward to doing this again soon. Take care.
Beau Hamilton (31:47)
Yeah, let’s try to have you back on a Product Demo Showcase or maybe just follow up with some of the updates on Monica.
Damo Vasudevan (31:54)
Absolutely. Looking forward to it.
Beau Hamilton (31:56)
Well, thank you all for listening to the SourceForge Podcast. I’m your host, Beau Hamilton. Make sure to subscribe to stay up to date with all of our upcoming B2B software-related podcasts. I will talk to you the next one.