{"id":25594,"date":"2026-01-29T08:49:52","date_gmt":"2026-01-29T08:49:52","guid":{"rendered":"https:\/\/monday.com\/elevate\/?post_type=elevate_session_25&#038;p=25594"},"modified":"2026-02-15T10:34:40","modified_gmt":"2026-02-15T10:34:40","slug":"enterprise-integrations-in-the-age-of-ai","status":"publish","type":"elevate_session_25","link":"https:\/\/monday.com\/elevate\/2025-session\/enterprise-integrations-in-the-age-of-ai\/","title":{"rendered":"Enterprise integrations in the age of AI"},"template":"","end_user":[77],"session_type":[63],"monday_product":[93,78,82,87,94],"session_duration":[81],"class_list":["post-25594","elevate_session_25","type-elevate_session_25","status-publish","hentry","end_user-ai-deep-dives","session_type-thought-leadership","monday_product-work-management","monday_product-crm","monday_product-dev","monday_product-service","monday_product-ai-capabilities","session_duration-15-minutes"],"acf":{"image":25602,"text":"Enterprise teams rely on hundreds of tools, but true agility comes when systems, data, and workflows seamlessly connect. monday.com experts and partners share how to design secure integrations powered by AI to drive decision-making and automation at scale.","speakers_select":[25153,25595,25596,25598,25600],"video_host":"","video":"SYU83X9nSCY","vimeo_video_id":"","time":"","teaser_url":"https:\/\/res.cloudinary.com\/dupfy9mwu\/video\/upload\/v1770902544\/videos\/elevate-2025\/teasers\/Enterprise_Integrations_In_The_Age_Of_Ai.mp4","video_starts_at_second":1,"video_duration_seconds":30,"additional_tags":"","show_in_must_see_section":false,"video_transcript":"got some fans. Yeah, right. I love VA, too. Hello. Hello. Hi, guys. Are you ready to talk about very complex things but make it simple? Yeah. Yeah. All right. I'll start with a question. What happens when anyone in your organization can build their own workflows and the systems become smart enough to run on their own? Scary, but it's not it's not the future state. You probably seeing this up at the conference today that it's now. It's happening now. These conversations are taking place now and the organizations are trying to build and optimize immediately. So you know it's not about how it's a backend concern anymore. It's about how team moves, how data flows, and how work happens. And that's what we're going to cover today. But if you think about it, you don't have to be a developer to build. You can be anybody, right? But how do you scale that? I think that's the biggest conversation we're going to focus on today. So, as we're digging into what a great integration looks like inside a very complex, high stakes environment, and we're really going to marry that with AI. How do you marry the two, integrations, workflows, and the back end? So, I'm joined today by amazing leaders from our partners. Uh, and all of these partners are helping all of our customers with enterprise integrations and key complex requirements. So, to kick us off, let's start with quick introductions. Darren, let's start with you. Uh, fantastic. Thanks, Olga. Good afternoon, Elevate. It's great to be with you. My name is Darren. I'm lucky enough to be the vice president of market strategy at a company called Make. And if you're not familiar with make already, it's an automation and integration platform that enables you to visually design a particular business process, anything from your marketing content production processes to back office processes and everything else in between. And of course, automate and integrate with monday.com to all the other tools that are used throughout your technology stack. So over 2,700 different applications. It's great to be with you, Jacine. Hey guys, I'm Jacqueline Styles. I am lucky enough to be the VP of customer success at ZyFlow. Um we are a collaborative proofing platform that simplifies how agencies, marketing and creative teams, centralized feedback, automate workflows, review content, all within monday.com. And my name is Mike Potter. I am the co-founder and CEO at Rewind. We are a backup and restore application for mission critical SAS applications including Monday.com. Amazing. Eduardo, over to you. I mean, your host is Olga and I uh backtoback years uh in in the stage together. I run solutions engineering uh for monday.com and al runs partnerships for monday.com. So, let's do it. Let's do it. Start. Awesome. We're going to start with our first question. Um let's um this is really important to me in particular because when we think about integrations, integrations can be a lot of different things. Okay. Now, in my opinion, you can put them in point-to-point solutions, you can put them on data syncs, you can do embedded integrations, a lot of different ways of integrating uh tools. Uh, but I want to start with Darren because I got exposed to a lot of this uh with make. Um, you know, can you tell us a little bit of what you know tradeoffs between this models can exist within companies and you know, how do you choose the right approach depending what you're trying to do? Yeah, thanks Eduardo. Yeah, as as you noted, there's lots of different ways to think about how you might integrate a particular business process. And I think uh the advice that I give to customers all the time is exactly related to your last word, which is workflow, which is really starting with understanding what is the business problem that I'm ultimately trying to solve and what is the workflow and the business process that is necessary to surround that. So rather than thinking of it as I have an integration problem, it's backing up a little bit and thinking about it as what's the workflow designed to look like and then of course what are the integration touch points that are necessary to support that. Just to give you one sense of an example, uh I was talking to a customer within a finance team. they uh handle a huge number of travel and expense invoices uh over a period of time and they were looking with their audit team to be able to audit are these invoices actually matching our company policies and procedures and so they came to me and what they said is I need an integration between Monday and workday our finance system and what's necessary is not just to say yep can we flip on an integration that's going to send data back and forth between those two things but instead stepping back and trying to understand what is this audit intended to accomplish by the way, can we use AI to analyze some of these expense receipts to ensure that they're part of that uh process as well? So, it's really important that people think about integration problems a little bit bigger in terms of understanding what's the business process that I'm trying to solve and what does success look like when that business process is working really well between systems, right? Because you might be missing the component of automation if you don't think about it as a problem, right? So instead of pointtooint maybe there's point thinking point type of integration right precisely that's interesting and you know I think you know when when I saw the first time flows uh set up on Monday I immediately thought about the embedded nature of it um you know I I wonder if we can maybe uh talk a little bit about the you know the benefit of having not only the data integration but also the experience integration within uh two different tools. Yeah, I mean I think first and foremost all of us have had the experience of adding another tool to the tech stack and you don't know where to go or what to do or where the notification was. So there's a little bit of panic that I'm sure all of us have felt. I know I certainly have. So I think having it all in one user interface and meeting the user um where they are in in the day-to-day is key um for you know um uh integration and ZFlow integrates really seamlessly with monday.com just for that reason. Yeah, I think the experience is I'm managing a project, I'm kicking off a campaign, I need to create a campaign and an ad or a video uh for for this campaign. Do I step out of Monday, do it in Google Docs? You no longer have to do that. It's all done in one. So, how do I get the approval from my marketing team and brand team and legal and the fonts and all that good stuff done in one place. So, I think that's a big component of having user experience all in one. It really helps I think from an adoption perspective too as you're building these integrations because you no longer really have to teach your users a new interface. They're already used to the application. they're used to integrating into it. They're used to working in there and so it reduces the amount of effort that's required to train new people and which in terms helps adopt uh the integrations. So from a developer perspective really makes sense to try and integrate as much as possible. That's right. So let's talk about it. Um how many times have we clicked connect my Google to whatever except except not read the terms? I just I'm sorry it I'm sorry. Uh but it is really important to talk about right how do you make sure your integrations meet the IT requirements how do you make sure your integrations deliver the impact for leadership because they want to see okay I'm paying for all of these tools are they actually being used are you actually getting the right data and still make it the userfriendly experience for all of your employees um so it's usable so Jacqueline how do you think about balancing these different needs and building integration at scale that do get adopted and it becomes very user focused experience. Yeah. Um so I think just to go back to kind of what we were talking about before a bad integration is one that no one is using adopting right. So what does a good one look like? We're embedding it in the dayto-day. Um we talked about you know folks having to click out elsewhere creates a little bit of chaos especially for those in creative operations. There are a ton of um projects that you have. you have, you know, a million um assets, you have even more feedback and and how do you um how do you track it all? So, I think having one user interface where um everyone can go and take action, but also that the metadata data that you need is sinking in one spot is really critical. Um we have a joint customer, Sibies, a top auction house real estate broker and they had shared with us that um their original proofing um approval rate was 20%. But when they started using monday.com and ZFlow in conjunction with one another, it immediately bumped up to 73% approval rate which is pretty pretty impressive pretty quickly and they're on pace to hitting 90% by the end of the year. So I think that you know that is a great example of again meeting users where they are and how that can impact your business um when you're really simplifying it and then you know making sure that it and um your CFO and everyone else is getting the data they need to make sure that you know the tools you're using are are impacting the business. I mean to to me like obviously the value of saving time but just to know that you know I get the right work the first time to me means a ton right and it's by making the process better. Yes. Yeah. automating workflows, creating stages so that you don't have to manually deal with that. That's all automated for you in one spot, I think is is, you know, critical as well. And I think Darren, from your experience, I think it's the unleashed power of connecting Monday to 2,000 plus different integrations. How do you make that simple? Because I've seen a lot of our customers take like 18 integrations that they've built in various ways through service partners and marketplace integration to say whoa can I do it with one way and you've been unlocking that for us what what how do you resonate because it seems so could be scary right 200 integrations where do I start yeah the the possibilities are li literally limitless uh and that's a very common question of where do you start luckily we're uh I'll have a lot of colleagues and other people at this conference that have made a lot of progress on helping us understand the art of the possible. And of course, when it comes down to the actual technology, one of the things we focus on significantly at make is helping you understand how a process works visually. At the end of the day, when you think about what makes a company, a company consists of maybe some intellectual property. It consists of some people, your org chart, and then a whole bunch of processes. And if nothing else, we don't all have to be experts on how to create and code integrations, but many of us in our roles, particularly in work management or marketing, we are essentially process experts. Understanding how work actually pro flows through the organization. So being able to visually design uh and iterate on that over time has been a really important element uh of how we can enable automation for everybody. No, that's amazing. And uh I have one for Mike actually because Mike and I just for everybody to know we we talked about this for about 20 minutes just him and I just preparing for this and I think there's a lot of interesting things between um what's coming up uh within uh structured data and metadata when it comes to integration particularly with AI. Um you know I think there there's an inherent strength in Monday that um you know the boards and the workflows you know have structured data uh even though um you know the workflows you might be doing might be disperate. So uh I was wondering if we can share you know how companies can tap in that structure and the signals uh to build better and more automated workflows. Can we talk about that? Uh absolutely. I think the structures the structure is uh critically important and it it really makes building integrations I think a lot easier because you're working with data that you know is going to be in a certain format. The you you know that you know your board's going to be in this format everything's going to sort of work in that way with the triggers. I think having those automated triggers really helps lower the development time. Right. Right. Because you can rely on them. you know that they're going to exist. If a trigger is happening on a certain event, you know that that trigger is going to be is going to fire every time because it's sort of a contract between you and Monday.com. And so what that does from a developer perspective, it really cuts down the amount of time that it takes to build an integration, really cuts down from the time a user to build an integration as well. But from a reliability perspective, it it's increased because it's built into monday.com. And that's the major advantage where you're not having to build it yourself and build in resiliency and make sure that it's going to work. You're relying on Monday's expertise and Monday's contract that when this event happens, this event is going to fire and I can sort of subscribe to that and other things can happen as a result of that. I can trigger different workflows. I can trigger different things to happen. Um, that is very powerful from a developer perspective just because it cuts down the amount of time that it would take to build that integration, right? and you expect like always the same input. A status column is a status column is a string, it's going to h it's going to work. And I think this relates a ton to make so we can be interoperable. Yeah, exactly. The the way I think of it when when you really think about all the structure that's provided by Monday to identify different tasks and status and boards and then you think about applying those to trigger new changes in your work. It really enables you to think about going from tracking your work in Monday to executing your work in Monday, which is a major paradigm shift. So, I'm sure you've all worked with people who are like, I don't want to track my work, but if it's actually where work is getting executed in an automated way without users having to think about it, that's where the real magic starts to happen. Yeah. And if you don't mind me adding, I think from a you know a proofing standpoint, um this type of data really drives accountability from a from a work project standpoint. Um ensuring that you know stakeholders are getting information at the right times and we all as a group understand where is a campaign fitting and that's all driven by the structured data. I think you know structured data certainly is great at organizing information but let's take the the magic is in how do we automate um these workflows to to create efficiency and making sure that our teams are working um on what they really should be the creative pieces and not the kind of like the repetitive tasks and chasing down content and where approvals are and everything else they need to know right and and I mean and from the from the platform perspective it's interesting because it's not only when you change the status you always get the thing from an integration perspective But also if you're looking at a cipher proof it knows that you are looking at the cipher proof which is very different if you know all guys looking at the proof or myself right um interesting um in that vein um I want to take a pivot to agents and and by the way when we made this uh question I didn't know we were going to call it Monday agents so whatever whoever is the product team here thank you for helping me out um but I think that you know introducing agents uh on real work uh it's it introduces stuff that we never experienced before, right? So um you know we would say a layer of risk but also a layer of creativity, a layer of you know a type of worker that we've never interacted with before. So um from your perspective like should teams uh start you know watching out when automating across agents or how can we keep things secure? Um I don't know maybe if Jacine or Mike you want to take this first like who wants to take I'll take I sure I think to start with I' I'd try and figure out what is the work that the agent is going to do and how mission critical is it and that's going to define the level of risk I think that you're willing to accept in enabling that agent. So if the agent is talking to external customers for example, your level of risk is likely less than if it's talking to an internal employee and trying to as we saw today in the customer service one, you know, reset their user password for instance. You I think in the one where it's talking to internal employees, you're more likely to allow it to go and execute things without as much oversight as it is if it's talking to an external customer. You're going to be a little bit more careful about what you're allowing that agent to do. I think what you want to make sure is as you're enabling these agents, there's a period where you're where they're just starting where you're really watching them closely and you don't want to allow them sort of cart blanch access to do anything. You want to be watching them, but once once that's happened, I think a few times you can sort of let the leash go a little bit and you can actually let them execute on their own. Um, again, you know, selfishly having having a backup is going to be critically important if you're allowing these agents to modify data in your systems. you're going to want to make sure that that data is protected. Um, but I think increasingly we are seeing that it is overwhelmingly advantageous to having agents execute autonomously, right, versus having people in the loop. And you're going to want to make sure you take advantage of that. I mean, I was blown away with some of the demos that we saw this afternoon from an agent perspective here, right? And we kind of it was a little bit of foreshadowing to the conversation right now because when we started talking about this concept, we were thinking, well, if we're going to let the agents take action, wouldn't it be nice to have a log of what they did and wouldn't it be nice for me to rewind, no pun intended, to the place where if something was not intended to happen, right? Exactly. Yeah. you're you're going to want to be monitoring them, I think, especially when you're initially launching them, monitoring them really closely and uh and making sure that you've got, like you said, a log of what actions they've taken, what what messages that have been sent to them, what messages have gone out from them, so that you can improve them over time. But I think you'll find very quickly that they're getting to the point where the benefits of enabling them are far outweighing the risks and consequences that would happen in not having them. Well, let's blur it a little bit more and I'd love to hear your perspective. You have an agent, you have vibe coding, you have developers, you have users. How do you start navigating that field and ensuring that integrations are a part of the conversation? It's complex, right? It's how do we start thinking about Darren, you want to go first? Uh, yeah, I can definitely uh dive in on that. And and if you include all those different strategies, ultimately these are incredibly exciting strategy and technologies that enable us all to we'll say democratize the ability to automate virtually anything. Um and at the same time there's a level of of caution and a thoughtfulness we need to put to how do we automate our core work. So uh certainly Mike identified the importance of identifying my level of risk and what risk I'm willing to take. I think it's also important to kind of look at the the flip side of that which is to say the what makes an agentic strategy successful or not is going to be how much your company and your organization ultimately trust it. It cannot absolutely be a black box that sometimes decides to do X and sometimes decides to do Y. So not only do we have to audit the actions of what an agent did but we actually have to be able to understand reasoning of how it may came to those conclusions to do a particular task or activity. Uh and the other piece of this that you mentioned is is vibe coding. So another amazing technology that's super exciting uh for many people to be able to start to create entirely new applications. Of course we saw uh Monday vibe uh yesterday on the main stage which is incredibly exciting. But one of the things that that Monday vibe nailed and many others these solutions are lacking is a visual framework for understanding actually what was created. So, I I suspect I I'm going to take a guess. Two years from now, there's somebody in this audience is going to walk into a job their first week. They're going to inherit a marketing operations team. And when you applied for the job, they're going to tell you, \"We've automated everything. It's beautiful.\" And then what you're going to discover the first week while you're there is that the person that was there before you vibecoded a bunch of stuff on their laptop on the weekend in order to automate your processes. And that's what you're going to inherit. And I'm so sorry that sucks for you. But you have to think about a strategy so that these things can actually scale be beyond one person so that what you're leaving behind is a systematic scalable way of understanding how processes work and how they should work and of course be able to iterate on them quickly because your company is changing all the time. It it's not going to have the same business process it did two years ago. So these are things and strategies that you have to have in mind as you start to employ some of these amazing technologies. And I think the power that you bring is the visualization, right? I think there's so many things happening on the back end of this is integrated, this is automated, but I think the power that you're bringing to forefront is helping that new person actually understand what is connected, how it's connected, and how it flows to give that context, which I think is to me is very scary. We're building, we're experimenting, but once you put it in place, what actually happens? And I think that context will be crucial for the people in the room, not the agent, to challenge what the agent is doing now. That's right. And I'm curious. I think, you know, creative is the scariest area, right? The people always talk about, well, will this take over my job as a creative person? It's writing poems. It's writing articles. It's writing my LinkedIn post. So, what's your take on the combination of agents vibe coding new apps and creative teams? Yeah. So, I think um From an agent perspective, I am not of the belief that agents should make all the decisions. I think that um agents do an exceptional job at reducing the repetitive work. Um but where humans do a great job is making sure that the context and that quality continues. Um so I think that that for me me is key and when when Zylow uh we're currently working on review AI that's in private preview. Um but that's certainly something that we keep in mind. not trying to get rid of um that that human element there. So that's really important. Um I think from a vibe coding perspective, you know, really blurs the lines for marketers and designers, right? Marketers can now go ahead and I'm just going to create this content. We definitely don't need the designer. Uh designers on the other hand, the flip side of that can of course create the content more quickly, but again we need that kind of human element there to make sure that like marketers aren't going, you know, off the off the path here and bringing them back. So again, some some element of the automation is key for proofing and creative. Um but definitely need that human element to to kind of check and gut check make sure everything is high quality and in context of of the goal. you know, I think this is the biggest component, right? The high quality component because we're talking a lot about automation and about, you know, can we make stuff quicker? But like I feel like the one thing that this like all this technology is bringing is that there's no excuse not to have very high quality, right? Um and to get high quality, you need a ton of collaboration. Now, we can talk about agents talking to agents, but what about us uh as well? Like making sure the quality is really high. No. Yeah. Um Mike, what do you think about this? actually something that connects a little bit to what we were talking about before. I think I'll I'll relate it back to what we started with actually which is sort of understanding the business and the ability to vibe code or to quickly create an integration kind of depends on the level of risk that you are willing to take and the importance of that integration. So there's different levels um of importance and different levels of security that you're going to need to bring to everything that you do. And there are some cases where vibe coding an app and doing that quickly is absolutely the right thing to do. And there's other times where taking a more structured approach and taking your time and going through the rigorous process for building that is going to be the right approach. But it comes down to really understanding the business, understanding the risks that you're willing to take and then working off of that to figure out, okay, what is my plan here? How important is this workflow? How important is this integration? Who is it? What data is it touching? Who's interacting with it? And and will it will it really help move the business forward? But it starts by understanding the business and and the needs that you've got. And I think what you're capturing with Rewind, the backup data, it's, you know, we're unleashing the agents, but to be honest, AI still makes mistakes. So, how do we make sure we capture those mistakes as humans and know where do we need to go back to adjust? Like, I feel like yes, we're moving ahead. Yes, we're challenging the status quo. We're developing. We're starting to get extremely creative, but it's the human element of making sure our eyes stay on the quality that's being done and agents are actually, you know, they're evolving so quickly, sometimes you need to make sure and double check the work. I mean, as much as left check GBT, for some reason, the latest version is giving me some lots of lies. And I mean, they they agree with me all the time. What do you think about this is amazing? Like that's definitely the prompt to put in. so smart. No, but I I think it's a valid point to bring up because when you think about it, we kind of have an opportunity to for the first time reook at this because to to be frank, you know, I don't know about you guys, but I've gotten my fair share of really crazy spreadsheets that I don't know how they work. Uh this is not very different, right? So, you're getting us, you know, now maybe in two years we get some spaghetti code that nobody understands, but quite honestly, there's some spaghetti formulas, too. So, uh, maybe we have a chance to to do this again in a different way. No. Yeah. And one topic we actually haven't actually brought up yet, it's probably the least sexy topic is governance. Um, which it could be tempting with all these amazing new technologies just to say, look, all of our marketers, all of our IT team, look, go use whatever agent tools you want, go use whatever automation tool, go vibe code. And having everybody do things on their own way is absolutely going to create a mess. And so governance doesn't have to mean top down strictly defined very centralized. It's just the opposite of complete anarchy. So there are lots of strategies people uh should dep consider things like centers of excellence really uh centralizing and thinking about things across your value chain as opposed to just leaving everybody up to try out whatever new technologies they can. Awesome. I think uh on that note uh we want to talk about I mean I think for me I'm curious We're saying everyone can do this. Governance is a big portion of it. Are we saying we're building a different team to put governance in place? Are we saying there it should be within it? I'm just curious because these are, you know, if we're talking about each individual solution you guys bring into place and the platforms you bring into place, it's different teams, right? There's marketing operations team, there's the IT and integrations team, there's the legal component even in the backup. So is there a governance model where someone owns it crossf functionally like who who will help us monitor this? We don't know the answer but let's yeah let's I don't have yeah uh I can tell you the some of the best companies I've worked with in the world are thinking about centers of excellence that actually span uh different functional departments. So certainly marketing operations is highly empowered to operate in a certain way and has the tools and technology in order to continue enhance. Uh but if marketing operations is not talking to the product team or other parts of the division in a way that centralizes the understanding of their business processes and puts their customer at the center, they're likely to end up with this kind of siloed work. Uh which is certainly something uh Monday tries to help us kind of get a handle on uh to bring all work and have a central version of the truth. I think what you'll find because it's so new and because it's so powerful, the right thing to do for most companies is probably to run some experiments in a very lightweight way that is very risk-f free because the benefits that you can get from automation, from integrations, from the marketplace. Like those are those are real productivity-enhancing benefits that you don't want to to avoid. And so you need to run those experiments. do it in a lightweight way that's not, you know, going to put your company at risk, but do it in a way because if you're not taking advantage of it, you're really missing a massive opportunity to to transform how you work. And I think that's the consistent theme we're hearing across this conference. It's not the fact that AI is replacing our jobs. AI will replace people that don't know how to use AI. Those are the people that are being replaced. So, I think what we just talked about is inventing new jobs. They were creating center of excellence and to just being audacious to nominate yourself and say I want to experiment this and I want to create governance. I want to create stability and I want to make sure whatever we're implementing is actually producing the right results 100%. So I guess go ask your boss for a new job for AI governance. Is that what we're calling it? No, I mean I think uh you know my script says there's one thing to take away from this conversation, but I think there's more. It's so much more, you know, and and I think this is an open conversation and but what is what is true to me based on what we're talking about is not it's not just about connecting tools anymore. It's not a technical thing. It's like, yeah, let's connect this to this, but rather, you know, can we make something scalable, right? Can we make something secure and can we make something that at the end of the day can be consumed by us, by the agents, by the llama that you saw on over there, which by the way, I'm hiring that llama. I'm not kidding. Um, but anyway, I think at at the end of the day is to to build better things for us and our businesses. And uh, I want to thank you guys for joining us. It's been super cool. I wish we could do another prep after this so we can get more conversations going. Uh, but thank you so much everybody for listening. Thank you everybody."},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.8.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Elevate Online 2025 On Demand | Watch Top AI Sessions Anytime<\/title>\n<meta name=\"description\" content=\"Catch up on Elevate Online 2025 with full on demand access. 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