Revolutionizing IT Management with OpenAI and Atera!

Webinar transcript

Jason: First and foremost, guys, this is basically going to be one of many webinars we’re going to be hosting. We really took AI and we’re taking AI to a new frontier within the IT space, and we really think that we’re going to change the world with this. So we’re glad to have you all along for the ride. My name is Jason. I’m a customer success manager here at Atera, and I’m joined today by my colleagues Dalya and Kaya, who are also customer success managers. They will be helping me with the questions, so please, if you guys have any questions, feel free to put them in the Q&A section.

If you have any general comments, those can go in the chat. But if you’d be kind enough to put all questions in the Q&A, we’ll answer some of them live, and some of them my colleagues will answer in the chat. 

# Agenda 

Jason: A bit of the agenda for today: most of the time I’m going to be spending within the Atera platform as I want to dive into the platform and show you exactly where we’ve added things that I think you guys will really love because I know I do. So basically, we’re just going to go through what AI-powered IT is. You’re going to be hearing that a lot; it’s something that I’m going to be saying a lot and it’s something that I fully believe in. I’m going to go through Atera’s AI Suite and how we’re doing it, and then if you guys stick till the end, I’m going to show you things that are not released yet that I think will blow your mind even further than it will be by the end of the beginning part, because we’re all excited. 

# Introduction to Atera 

Jason: I know most of you guys are Atera customers, so you are aware of this. We really are global; we’re growing and we’re managing three and a half million endpoints at the moment, and we’re currently doing 306 automated monthly IT actions. As you can see there, we are on G2 and we really are trying our best to be a really innovative company that’s breaking through the barriers of conventional IT. 

# What is AI-Powered IT? 

Jason: So what is AI-powered IT, you might be asking yourselves. Atera’s AI-powered IT is really a way that we took OpenAI and thought: how can we implement AI within our solution? Most of the things we saw were that people are doing a lot of repetitive work. Technicians are spending time on a lot of work that can be solved by AI without them even doing anything. So this is something that we’ve built. No need to go to other platforms and bring things back in, as we’ve baked most of these features within Atera and into your daily workflow. This is something that we believe in and something that we really are pioneering in terms of the new frontier of IT, which is AI-powered IT.

# Impact of Atera 

Jason: So what’s the impact? What are we seeing as the impact so far? We are seeing up to a 10x operational efficiency, and I will show you how we get to this number. As you can see, we have a holistic approach with an RMM solution and a ticketing solution. You are aware of this. We wanted to fit in between those two pillars—our two strong pillars of RMM and ticketing. Whether it’s a Helpdesk or a PSA, however you refer to it if you’re an MSP or internal IT, we try to fit it in and bake it in, like I mentioned before, and deliver better outcomes faster. I know for MSPs, time is money, trying to service as many clients as possible. The same goes for internal IT departments; we really don’t want employees waiting for certain tickets that can be fixed by AI already. Repetitive work in most jobs is something that AI is solving. Things that are done over and over again can be repetitive, but we can solve those things with AI, and I’m going to show you how within the platform. Then, as I said, empower end users to fix common problems independently. That’s coming and it’ll be something that I want to expand on at the end of today. This will handle the tech debt that you never had time for. So basically, this is going to add another tech to your arsenal. If you have five techs, then Atera is going to be your sixth tech. I really believe that is something that’s going to change how you’re working with Atera at the moment. 

# What’s Available Now? 

Jason: So what’s available now? On the left there, we have tickets and summaries, custom responses, solutions, and scripts, all with AI. We call this the co-pilot, and it’s going to work alongside you. You’re going to be working with it to say: “I want to generate a reply for this specific end-user customer. I don’t know what to say to them, let me ask and see what the AI suggests,” and then I can suggest a response for them. Going further into that, it’ll generate solutions for you, and further to that, if it’s scriptable, we can generate the script for you. The storyline really evolves better and better to really service you guys. On the right-hand side, you’ll see some beta features. At the moment, I’m going to show you these features of Atera, which I like. As I said, it’s going to be at the end, and we want to release access to you guys on this webinar. In the chat, you can just type down your registration email address that you registered for Atera with, and then we can add you to the beta for our autopilot part of the platform. Without further ado, I want to dive right into the platform. I see there are many emails coming out there. Nice, guys! I’m sure you are going to love it. I will say that it is limited, so we’ll try to add as many of you as possible. I apologize that not all of you are in it, but we’ll try our best to add you all to it. So let’s dive into the platform!

Okay, and how I want to do this, I want to work this like you would in a day-to-day scenario of you working as a technician or an IT manager. I’m going to start with the end. I’m going to start with our AI script generator. First and foremost, if you want to know where to find our script generator: If we go to Admin and then Scripts, okay, we click Scripts and we go to Create Script over here. Now, for those who are familiar with Atera, you know that you can already add scripts here. You can type scripts however you like; the functionality is already here. But we added underneath that the ability for generative AI script recommendations. I’ll do an example for you. What this will do is this: as you can see, and I’m going to use this catchphrase—sorry, it’s a bit cheesy—but just like that, you get a script. The power of this is that, again, this is still something that somebody will need to check to make sure the scripts are exactly what you wanted to do functionality-wise. So you will need a bit of experience with scripting already, and this will help people who are learning. If they’re still learning how to script, they can come here, type it in, and see the script outline. It’s really nice for people to learn as well, but also for the more experienced ones. If you want to type a long script, pop in here, type in what you need, and it’ll give you a script. Then you can go back, fine-tune it, add it to your script library, go to Devices, go to IT Automation Profiles, run the script, and there we go. You can get as specific as you need. So if I wanted to take this and say, “Okay, clear all files from a recycle bin on Sundays at 02:00 PM and then email [email protected] if successful.” If I spelled that right, it’s okay. There we go. We can see what it gives us. We’ll get the script over there. The emphasis here is that you can be as specific as you need to be, and I recommend being as specific as you need to be. Okay, so I’m not going to spend much more time on this. You are able to do as you please and really go play around. We really encourage our users to go play around, try things, be creative and see what you’ll get from it. 

# Ticketing Summary 

Jason: Okay, let’s go back now. Now we’ve generated a script. I want to take a step back. I want to now go to the start of a day. So my name is Jason, and I am a technician at Atera, for example, an IT technician. And I see here on my dashboard, my tickets are assigned to me. That’s my ticket. I see the priority is critical and it’s waiting for my response, 21 days SLA. Maybe I should use AI to try and help me. The first part of our AI is going to be the ticketing summary. Okay, so this specific ticket, I want to go and this is exactly a ticket that actually was something that I’ve seen: mouse and keyboard lagging, despite troubleshooting attempts. If I scroll down, you’ll see there’s quite a long conversation here, and some can get longer. There can be 30, 40 conversation threads that will happen. What I want to do here is get an overview. It’s urgent. I know you guys need to work fast. You come into work and there’s a ticket that needs to be done, click the AI button. What will happen is it’s going to give you a summary. It’s going to go through the ticket, see what happened in the ticket and what happened with the previous tech, and give you a ticketing summary. What I like about this is we can select the bulleted list because the paragraph looks a bit messy. So what we do here is see that it’s given us the summary of the ticket within ten points. How this is useful, how you guys will benefit from this, is you will see what’s already been done. You will see from the ticketing summary what the user has tried to do, and you can troubleshoot from that point and not from the start again. This is something that I feel is really powerful and really great in terms of the first part. 

# Auto Reply 

Jason: So that’s the first part. Just keep in mind, our end game is going to be a script. We want to work efficiently, we want to do scripts because scripts are quick. We don’t need to log in, we don’t need to wait for the user to be by the device. If we have attendant access, for example, we want to do things quickly and efficiently. And that’s the name of the game here: AI-powered IT. Okay, so let’s go into the next one. I’m actually going to go into another ticket. I can then go and troubleshoot this ticket and work around this ticket and see what we can do there. What I’m going to do now is go back and show you the next feature, which is going to be the auto reply. Okay, so this is just a normal printer malfunction that JBay at Atera had. If I open here, we’ll see that they said, “My printer isn’t working.” This is just a caveat or a glimpse into what’s at the end. I’m sorry to hear, let’s try to fix the issue. They said that didn’t work. Let’s go back here. We’ll click the AI again and again we’ll get the summary that’s always going to be showing here. We’ll click generate reply and this will give us a nice reply to the end user. Let’s try a different approach here. “Can you tell me what happened when you tried the solution?” The solution will be what we wrote below. We can copy this to the clipboard, paste it here, just like that. Instead of you guys having to go and type a reply, you’ll really just go in and ask the AI to give you a response. Paste it there and done. But now I want to go a step further. So I’ve sent that reply. The user might be away from their computer. I want to get the response now. I want to try to solve the problem now. Okay, so let’s go generate solution. From here, we’ll see what it’ll do is it’s actually going to suggest solutions and generate a script. What we did was we took our platform and, like I mentioned at the start, we looked at repetitive tasks that can be solved with scripts. We said, “Okay, these are things that we can use which are the most repetitive issues that people are experiencing.” I don’t know if you guys can say in the chat if you agree, printer isn’t printing or things like that are things that can be solved. The simple printer spooler restart script. So what this will do is hit home what I spoke about at the start. We’ll click generate script and here we will see it generate us a script from the ticket. So let’s think of it together. We came in, we saw there’s a printer problem. We got a reply, we sent that reply. If the user was there, they’d respond. But we want to be proactive now. Now we’re being proactive. We’re not being reactive. We’re being proactive now. And now we can see that we actually have a script that will solve the problem or will attempt to solve the problem. And again, just like that. So if you can think, I told you guys about the 10x efficiency. Now I’ve spoken to a few customers about this and they said that this specific ticket would have taken them 15-20 minutes, maybe half an hour depending on how reactive or responsive the end user is and things like that. But if you see how long it took me to do this, I don’t know, two minutes, three minutes. So if you really see, and never mind writing the script. If I had to type the script out manually, think of the time that I’ve saved. This is the name of the game here: AI-powered IT is really revolutionary in terms of where we’re going with this type of platform. 

# Run Script 

Jason: So this is kind of when we come to the end of what I call the copilot, and I think it’s extremely valuable and really simple. So I’ll go one step further. Just so I can show you guys how this fits into your workday. We’ve generated a script. We had the problem. We’ll give it a script name. We’ll say “printer check,” for example. Excuse the spelling errors. Printer check, two, so that I know which one it was. I’ll create this one. And now what I’ll do is I’ll go to the tickets. I know that it was this one. I can go to the device, I’ll go to the agent, and then from here, manage, run script. I know what I called it. Printer check. Okay, printer check, two. I view it. I make sure that it’s the script that I want to run. Okay, I go back, and then I click run. Printer check two. I click run from here, click run. And there we go. Okay, so summaries on the way. The device is offline, but you get how we started from the script at the end, what I showed you at the start, and how we’ve come to the beginning, and really how these repetitive tasks have become really easy. I think the power of this is really remarkable. And I’m not just saying that because I work for Atera. I really do believe that this is something amazing. 

# Q&A Session 

Jason: Okay, so I don’t know if there are any questions. I think I want to do some questions now. I’ve gone through the whole copilot part, and I want to see if there are any questions so far that we can answer. Then I’m going to get to what I like to refer to as the autopilot. Okay, let’s see. Okay, let’s see how many questions we have. I’ll do about four or five minutes of questions. I see we have a bit of time left. Is there a sandbox to test the script, to make sure it is working properly? What I’d recommend for that is that you can have a device, a specific device that you know, or maybe a virtual machine that you can try. But again, Roderick, I want to emphasize that you do need a bit of scripting experience. What I’ve seen our customers do is have a specific device that they do testing on, and then you could always run the script on that specific device. Okay, cool. Let’s remove this one. Let’s go to the next question. Let’s see what we have. Any plans to put that you can just send it from the AI assistant panel rather than copy and paste? For sure, Grant. This is all relatively new, but that is definitely something that I will go to the R&D team and see if that’s something that they are able to do. But I think it will be possible to just have a button that says “send to reply” and that’s it. Let’s go next. Let’s see what we have. Is there a way to use AI to test patches and driver updates prior to executing them on live agents? This is a very time-consuming process at the moment. Not possible, but definitely something that we can look at in the future. We really are looking at our options in terms of how and where we can integrate the AI. I will actually tell you something that I think could be down the line, and I’ll show you where that’ll come in. If I have my presentation, which is over… Give me a second, guys. I seem to have lost my presentation. Give me one second. Lost my presentation. I’ll get it back for you guys. Okay, I’ll get back to that at the end. Okay, let’s see what we have. You’ve answered that one. Okay, let’s see what else we have. Cool. On the top. Okay, cool. Let me share this one. Is there a way to use AI to test patches and driver updates prior to executing them on live agents? This is a very time-consuming process at the moment. Not possible, but definitely something that we can look at in the future. We really are looking at our options in terms of how and where we can integrate the AI. Okay, cool. So I’m going to continue now to our next part, which I would like to refer to as our autopilot section of Atera, which is something that I said to you is in beta still. But those of you who put your email addresses in will have access to it. Okay, so let’s go. Like I mentioned over here, if you saw in this ticket, let me go back to the ticket that I was showing you guys.

If we go back to this ticket, you will see in the conversations AI assistant. AI assistant—what does that mean? That means there was an AI assistant helping troubleshoot the end user. So where do we find this? In the customer portal. That’s where we’ve kind of baked it in with the AI. It’s in the customer portal. So what that’ll look like, I’m going to pull across my screen over here. There we go. Okay. And now you’ll see here, AI assistant. So what I want to do here is I want to actually get you guys involved, and I want you guys to think of something that I can ask the AI to see what the solution will be. So if any of you guys can think of any issue that you see constantly that really annoys you, you can type it in the chat here. Anybody? Okay, you can try. Thank you, Phil. Let’s see. That’s not what I wanted, not where I parked my car. Okay. My computer is slow. Generic. Straightforward. Okay, now let’s act as if we are the end user. Now we’re switching a bit. I was Jason, the IT technician. Now I am JBay, the employee/customer who isn’t really computer savvy. Let me just refresh this. I’ve done this before. Remember, this is still beta, so please forgive me. Let’s try it again. My computer is slow. Let’s try it again. It should give us an answer now. Okay, let’s give it a few seconds. There we go. Okay, so what you can see here is two things I want to show you. We’re looking at specific things on the device. This is kind of where you can see we’re having the ticketing side, service desk, help desk, PSA, with the RMM side. We’re monitoring data. We’re looking at the device. We’re seeing what’s happening with the device. Here you can see it has looked at process information and hard disks because it’s realized, or figured out, that these can cause slow computer performance. So here we can see it could be the processor—maybe something is happening in the background—or hard disks—maybe the hard disk is full, for example. So it’s looking at those things and already starting to think of solutions based on what it’s got. Remember, we have the data within Atera. You have the data. We’re monitoring the device now. Instead of being reactive and saying, “My computer is slow,” and being like, “Wow, this could be many different things,” we’ve already kind of narrowed it down. We’ve figured out that the process information in the background looks okay, the hard disk information looks okay. And then from here, we can try something further. Okay, let’s try Chrome cache. Google Chrome cache. And what this will do is say, “Clean Chrome cache.” We’ll click yes. Now, I can’t do this yet, but basically what will happen is you’ll be able to type in your number over there, you’ll save and send code. And just like that, the end user has solved their own problem. Without you even doing anything. And this kind of works on a flow. It keeps track of the conversation. So let’s carry on and say, “I don’t know, my Outlook isn’t opening,” for example. Let’s see what it says. Reset password. I don’t think that’s the right solution, but it might be. So again, it’ll give us this prompt. And there we go again. What I will say about this is that if the AI doesn’t come up with a solution, it will open up a ticket. So we see here it’s opened up a ticket. Now if we go back—this is now for the end user—and we see it’s already opened up a ticket over here. Let’s go back into the platform. 

# Ticket Title 

Jason: And what it’s done already for us is it’s given us a ticket title. No need for any of you or your technicians to give it a ticket title. We can go in here. Okay, there we go. That was our previous script we tried to run. And again, if there was—I saw a comment in the chat—you would never find an end user who’s going to communicate that responsibly, going back and forth, back and forth. There are cases, but yeah. So again, we can then take it from there. So let’s say there was a lot of back and forth between the AI, and then the end user was like, “I need to speak to the tech now because the problem is not getting solved.” You then have the same thing here where the AI has done the beginning work for you, has done the beginning parts of: “Have you tried to restart the computer?” There was one we saw with the devices, the mouse and keyboard lagging that we had at the start. “Have you tried plugging in those devices into other computers and seeing if that’s where the issue was?” Basically, these things are already trying to solve the issue before you even come to it. And that’s what we’re calling Atera autopilot. So again, we’re trying to be as intuitive as possible, trying to make them as good as possible, and putting a lot of effort into making these solutions. I’m really grateful for you guys. 

# Computer Heating Up 

Jason: Okay, so I want to go back and I don’t know if you guys maybe want to try another one. So far, I see we still have some time. Anybody else have a nice example that we can try? I see here: “Computer is heating up.” Let’s try that one. That’s a good one. Computer is heating up. Let’s try that. That sounds good. Let’s see what we get here. Just get a fire hydrant. I think that’s maybe what it will say. Update service, please don’t use the name. Okay, cool. I need to just restart it again. That’s fine. My computer is heating up. Let’s see. Let’s see what it says. Cool. So again. Okay, so this is cool. Now we see it’s checked the process, it’s checked the motherboards. Remember last time we had something else? So let’s see. Okay, so let’s see what it says. “I’m sorry to hear that the computer is heating up. It could be due to various reasons, such as dust buildup, high CPU usage, or improper ventilation.” Okay, fair enough. It’s a solution. I don’t know how many of your end users are going to do this solution, but it’s a solution itself. And as you can see, I’m really on the fly here. Obviously, I had my example set up, but I always like to be interactive with you guys. So this could be something useful in the future. Okay, cool. I’m going to move on from here and go into a few more things. 

# Self-Service Actions 

Jason: Within this specific part of Atera, within the AI part, let’s go to self-service actions. So as I said, this is going to be on development and how we’re going to do it. Over here we have log out, reset password, shut down, lock, and restart. These are things that over time we’re going to develop and get better and better with. Next few things I want to show you, and this is really new. What I’m going to show you now is if we go to our service portal, what we have access to. So if I have a look here, like I mentioned before, maybe not all of your end users or all of your customers will want this AI. Maybe they just want to open tickets. You can choose. You’ll be able to choose which customers or which departments or which groups of people will have access to it. You can really control who has access to it further down the line. In the near future, something I’ve heard is that we will probably also develop an AI that will look through your knowledge base and give answers based on the knowledge base. If we go here again, you can choose if you want to automatically open up a ticket when the AI assistant is engaged by the end user. It’s all up to you. And again, like I said, you’re able to choose which sites, which devices have access or not to the specific feature. Over here, self-service actions go again into the portal. Last but not least, and this is something that I recently got off a call about an hour ago with a customer, and this is something they really liked. They had a thought and said, “How much control would the end user have with this specific AI assistant? What can they do? Surely it’s bad because they have access to the backend.” What we’re creating are actions that the end user can do, which are things you would do anyway. One of the things they said is installing software. They said they can just go in and type, “I want to install this software.” You can choose which software they’ll be able to install. So you can add, they’ll be able to go into the portal and say, “Install Zoom, install Slack.” Because you’ve added it as certified software for them to install, you’re then able to allow them to install software that they need to have, and certain software that you don’t want them to have, you can just not put it on that list. These are things that we’re trying to give you guys as much control over your environments as possible and doing things in the background that users can do themselves in most cases, giving them the power to do that. I know what you guys are thinking, “Maybe they don’t want to speak to an AI.” This is something that we’re really giving to you guys to help you, and we really think that this is going to help you in the future. 

# Command Prompt 

Jason: So I think I want to show you guys one last thing before we jump into questions. I didn’t want to make this too long, about 45 minutes tops or 50 minutes. I want to kind of end it off then. The next thing I want to show you guys is within the Devices tab. We wanted to also add something to Command Prompt and PowerShell. Now at the moment, I don’t have a device that’s actively connected, so I can’t really show you exactly, but what you’ll do is you’ll be able to type in here what you want to happen. So you can see example commands: create new directory or show open ports. It’s going to act almost like the script generator in terms of giving you suggested things you can use within PowerShell. So it will be for PowerShell, it will be for Command Prompt, and SSH on Linux. These are things that we really feel are going to help you guys be efficient. Again, to add to your workday, to fit into your workday, to complement your workday, to work side by side with you, to really save you time for big projects. If you’re an MSP, you might want to do more prospecting for customers. When you’re saving time, you really are able to do other things, whether it be free time if you’re a business owner, for example, some free time with the family. If you’re an MSP and you want to get more customers, you’re really starting to save time. And all of them will start to stack up the more and more you use them. I feel the more and more time you’ll save at the end of the day. So I think without further ado, that’s kind of what I have in terms of the AI part to show you. I just want to check with my colleagues if I’ve missed anything in terms of the AI stuff. Give me a few seconds. I don’t think I’ve missed anything. Let me just double-check. Cool. What are you guys feeling? What do you guys think? Let me know in the chat. What are your first thoughts? Some people are afraid this is going to replace people’s jobs. I really feel that this is something that’s going to complement people. I really do feel it’s complementing. It’s not removing people’s jobs; it’s complementing people’s jobs and really making people more proactive. Again, the name of the game is proactivity. Proactivity and AI-powered IT is something that we’re really pushing here. 

# Q&A 

Jason: Cool. So I’m going to jump straight. I’m going to stop sharing my screen and I’m going to jump straight into the Q&A. I’m going to just move my camera over here. There we go. That’s fine. Okay, I’m going to go to the Q&A. I see Lars said, “This is great. We need more work done in less time.” Name of the game, really. Vince saying, “I can see a lot of potential.” Thank you. Cool. I see Will is asking, “How can I get tech support?” So that’s the thing for people who currently aren’t using Atera. How can I get tech support or a salesperson to talk more about Atera? You can go on our website and click the contact sales part. You can just click there and we will make sure that someone is there to answer you. There will always be someone there to answer you. So that’s how you can do that if you are new. Cool. Okay, let’s see what else I have here. Let’s see what other questions we have here.

Okay, I think this is quite an important one. Risks of users using the agent to run elevated permission system changes. We are aware of this, and we know that it depends on the device level, how much permissions you’ve given to the user. But from my knowledge, and I’ll double-check this for you guys, and if you want, Grant, I can get back to you. Most of the scripts or the solutions that we’ll generate from the customer-facing or the user-facing interface will be solutions that don’t require elevated permission systems. If they do, they’ll be very specific to do a particular task that won’t put the device at risk. But I will definitely, Grant, if you can drop me an email at [email protected], I can send you some more information on that if you’d like. Okay, cool. There we go. Let’s see. I see that that’s answered, answered, answered. Amazing. My colleagues are doing an amazing job. Any more questions, guys? Let’s see in the chat here. Okay, cool. Is there anything else, guys? Let me see. I see there’s another question here in the chat. Is there a way to feed the AI with problem solution steps for solutions? 

# Security 

Jason: Is there a way—let me put this on the screen—is there a way to feed the AI with problem solutions and steps for solutions? Also, if there is an issue due to a system update that affects a lot of users, can I teach the AI this knowledge? At the moment, no, unfortunately not. The reason why is for security reasons, we are using Azure OpenAI. Just if you guys wanted to know the backend side of it, we’re using Azure OpenAI for security reasons. So what we have is the AI isn’t learning. We’re kind of doing that on the backend, but we’re not sending our customers’ information to the AI, if that makes sense. We don’t want to put your data at risk. So none of your data is—I’m not sure if I’m getting the terms correctly, I might be miswording it—but your data isn’t being stored or sent in the servers like it would be with ChatGPT, for example. And this is for security reasons. We kind of have our own little security bubble or block within Azure OpenAI. The reason for this is security reasons. It would be nice for that to happen, but it’s for security reasons. We want to make sure that our first and most important priority is your security, making sure that your endpoints are secure and making sure that your environments are secure. So anything to jeopardize that, we really want to mitigate all those risks. We do a lot internally to mitigate the risk because we are aware of bad actors out there. There are thousands, if not hundreds of thousands, of bad actors who want to get access, and we want to block all angles of them. We have a very strong in-house security team that is making sure that everything is being looked after to a very high standard. And we just got SOC II. These are things that we take very seriously. So just for your peace of mind, knowing that we are doing our very best to keep you secure. 

# Knowledge-Based Articles 

Jason: Okay. There we go. Thank you, Douglas. I see Nathan again said—I hope it’s okay that I’m sharing your names here—you mentioned it will eventually integrate our knowledge-based articles. Would that be a way to teach the AI like you’re talking about? So it wouldn’t be teaching the AI, it would be more of, how can I say, asking your knowledge base a question based on the data that it has. Okay. I don’t really know if it’s learning. I would more like to call it things like it’s just asking questions within your knowledge base. But again, this is something that might come long time down the road. But it was a thought that I thought I would share with you guys. Okay, let’s see. Any more questions? Okay. I see we have quite a few. Okay. I can see a lot of potential. Thank you. This is great. 

# AI and Servers 

Jason: You mentioned about end users. How would AI integrate with servers? This is a good question. Servers aren’t really opening up tickets, but down the line—I actually just want to open up again. Just give me a second here, guys. I want to open up my presentation. I think I closed it by accident. Let me open it up very quickly so I can tell you what I mean, where I think that question might be answered. Here we go. There we go. Let me share my screen again for you guys. Give me one second. Sorry about this. Here we go. Okay, so there we go. Found it. Let’s go to the end here. If you see, there we go. 

# Smart Assistant 

Jason: On the right-hand side here, you’ll see, for example, utilize the Atera agent information for a smarter assistant. So eventually down the line, there will be things that will look at certain data points of a device and be able to pick up if these are things that are going wrong based on data that it’s been given before. And this, I think, will be more related to servers. But for servers, for example, you could still use the script generator, and also the AI command prompt and PowerShell you can also use. So I get you in terms of a lot of—this is kind of end-user employee, customer-based—but there is stuff for servers as well. Cool. Give me a second. 

# PowerShell 

Jason: Okay, I actually have a device that I can show you guys that I’ll show you the PowerShell. Let’s see. We’re on the fly here, guys. We’re really on the fly here. Let’s search for it. No, scroll. Let’s see if I can find it. This one. Let’s see. Let’s see if it’ll work for us, guys. There we go. Okay, so let’s see. There we go. So let’s see what it gives us. Show open ports. Okay, let’s see. There we go. So it’s given us a solution. It’s given us what might happen. And this is something that again is using AI to really help you guys day-to-day work. You guys maybe have an example for me that I can use? I see we have ten more minutes. Maybe you guys have an example that I can try for you guys. Anyone in the chat? Bitlocker status, let’s try that one. Cool. Bitlocker status, let’s see what it gives us. Okay. Let’s see what happens. Look at that, guys. I’m also blown away, as are you guys, I’m sure. Amazing. Really cool. Okay, cool. Let’s see. Can try that. Let’s try this one. I see you, Eric. Let’s see if I can copy that. Let’s try. See what we get here. Let’s see what it gives us. Net use, and if that’s what you guys are looking. No. Okay, cool. I’m going to leave it at that, guys. Amazing. Okay, let me stop sharing. Let’s go back to the Q&A, see if there’s anything else. Cool. We’ve answered that. Let’s see. Let’s put this one, let’s see. Give me a second. 

# Integration 

Jason: Integration with hardware-based alerts for endpoints. Grant, I’m not sure I understand the question. If you can maybe clarify in another question, that would be great. And then we have—okay, so my colleague actually gave me a good suggestion for this one, which is integration. So what you can do with this already is you can do script-based monitoring. Okay, so let’s think of it. We have a script generator. Within the platform, we have script-based threshold profiles or script-based custom threshold profiles. You can use a script generator to give you the script that you want to monitor certain alerts on a device, certain hardware. Put that into a threshold profile, and then you can do it. So it wouldn’t be a direct kind of AI in there, but you can always do a workaround, get a script from the AI script generator, and then put that into the custom-based threshold, script-based threshold and auto-healing script. That’s correct. And then from there, you can also do an auto-healing script, which if that threshold has been passed or the alert has been generated, you can then generate another script that will fix that issue. So really, you’re adding efficiency and efficiency and efficiency. 

# Script-Based Monitoring 

Jason: Okay, let’s see. Can you use AI for onboarding? You mean onboarding your end users and customers? Maybe not at the moment. I’m thinking, at the moment, no, but definitely something to think about for us. Definitely something to think about for us. But at the moment, I don’t think there would be a way that you could, if you get a new customer or new employee, use the AI to kind of teach them. At the moment, no, but very good idea. Cool. Let’s see. I see that, Grant. Let’s see if the computer is running out of—so like I said, Grant, you can always create a script for that and then put that—and I’ll show you where. Let me actually show you what I mean. Let me not just say it, let me show you it. And I think this will be the last question, guys. Let’s go here. Okay. So what I mean by that is firstly, you’ll get your script to monitor what you wanted to monitor. So look at your RAM or hard drive space or whatever you see fit. You will then go to thresholds, you will then—I’m just going to go into a random one over here. We’ll click new item. We’ll then do script-based. So first of all, you’ll put in your script that’s going to monitor what you want to monitor. And then further to that, you’ll then get another script. If it is something that can be fixed with a script, you’ll put that script over here, you’ll add that. And then basically—and this also, we added recently the script-based threshold profile because we knew that our users wanted to have more customizability for monitoring their devices. And really, I’m sure the list is endless of what you guys want to monitor. So we said, okay, we’re going to give you guys access to this and then you guys can go and script a specific thing. Hope that answered your question, Richard. I really do. 

# Conclusion 

Jason: Okay. And I think that is going to be about all for today. I will say thank you so much for joining. If you guys do—I don’t know if you guys are still here, the ones who haven’t put in their email addresses for the beta—please can you put in your registration address for Atera, the one that you log in or that you registered for Atera with, and then we will see if we can add you to the beta for the AI assistant. That’s the AI assistant part. Okay, cool. So I think that’s all. I see there’s still 100 of you here. Good to see you guys are all still here, still wanting some more knowledge. We’re running webinars quite often. All of them are very helpful. We’re really trying to give you guys as much information, as much help as we can. So we have a lot more webinars coming up. We have thought leadership ones. We have ones that are from the basics for people who are still trying to learn Atera to advanced ones, teaching you how to set up IT automations, to set up ticket automation, and things like that. So please look out for that. You’ll see them on our Atera website. And I think that is about all. Thank you so much for watching. I hope you guys enjoyed this as much as I enjoyed presenting it. Hopefully, I will see you guys soon. Look after yourselves and don’t forget AI-powered IT is at your fingertips now, and we really think this is going to change your lives. Thank you so much and have a good day. Thank you. Bye.