Transform AEM with AI agents and assistants

Transcript

In today’s fast moving digital landscape, Adobe is redefining how businesses connect with customers. The AI era is here and it is rewriting the rules. LLMs dominate how customers discover and engage with brands. Gen-EI creates content at scale, but without the right guardrails in place, it risks bottlenecks and brand inconsistency.

Agenic AI promises productivity, but only when powered by the right data. With AI trends and customer behavior constantly evolving, what works today may not work tomorrow. It’s time for a new approach to AI.

One that only Adobe can offer. Our AI is purpose-built within a unified content and data platform to orchestrate the customer journeys.

Adobe supercharges your existing marketing workflows and amplifies human potential, delivering relevance with every interaction.

We champion responsible standards that provide trust, transparency, security, and the guardrails that employ AI with confidence.

When you partner with Adobe, we empower you to shape impactful brand moments with speed, scale, and precision, enabling your teams to deliver immersive one-to-one customer experiences, control how your brain shows up, expand experience maker capacity, deliver hyper-personalized experiences at scale.

This is AI at Adobe. It’s your turn to begin the journey.

Hi, everyone. Thanks for joining our webinar today on how to transform AEM with AI agents and intelligent assistant. I’m Betsy Lewis, and I lead our success advisory team across Asia Pacific, which is part of Ultimate Success. And my team partners closely with many of you on the call today to really focus on how you’re getting value from your Adobe solutions over time. Today is the second session in what we’re calling our AI webinar series brought to you by the Ultimate team. And the goal of the series is pretty simple. We really want to harness all of the attention and hype around all of the AI features within the solutions and put them in your hands and work with you guys on making sure you understand what’s available to you today and how that can help transform what you’re doing in your day-to-day world.

And we really want to position AEM as the operating layer for the agent-assisted experiences and operations that you’re going to be driving across your business.

You want to go through to the next slide. I’ll quickly cover off on the agenda.

And we are going to start with we’ve got a couple of great speakers, which I’ll introduce here in a second. Madhu will be going through why now, why should we be focusing on manual content ops and agentic operations. Then we’ll move through to transforming AEM with AI agents.

Pawan is going to run through a couple of great product demos on the agents themselves. And then we’ll jump back to AI assistant and generative AI and going through a couple of demos. And we’ll close out with Richa from our value team, who will be talking around how we’re going to measure value from all of these new capabilities within AEM.

So, as I mentioned, this is part of a six-part series. We had the first session two weeks ago, which gave an overview of all the different agentic AI capabilities across the Adobe Experience Cloud. Today, we’re focusing in on AEM and the AI agents and assistants. And then the four sessions following this, again, we’ll focus in on specific solutions and the agents and AI capabilities within those. So, today is all about AEM. So, I hope you guys are in the right session.

Before we kick off, I will just introduce our speakers very quickly. Today, we’re joined by Madhu. She is a Senior Solution Customer Success Manager who specializes in AEM and AI-driven digital experiences. She helps enterprise customers scale content operations, drive adoption, and deliver measurable value through automation and agentic AI. And Pa Wan is one of our amazing principal field engineers who brings deep expertise in all things AEM and how these AI capabilities are being applied across our customers.

And finally, Richa leads our customer value practice for the Asia Pacific region and works with our top customers across the region, helping them further their value realization goals with the Adobe Tech Stack. If you guys have any questions throughout the session, feel free to put them in the Q&A pod and we will endeavor to answer those as we go through the session. If we hopefully we have some time at the end, we can answer some as well. And with that, I’ll hand it over to Madhu to kick us off on the first topic.

Thanks, Madhu.

Thank you so much, Betsy. So before we get set the stage, you must be wondering why are we here now and why are we having this conversation about AI and majorly in the middle of 2026. So these are the three major changes that are happening right now and that are making content operations even harder and more urgent to fix for your organizations. So this is the very first one that content pressure. So you must be wondering and you already are aware that teams are constantly in pressure to create new content. They’re always wondering how to update it quickly, how to localize it and more so ever how they can actually make sure that they can automate some of the manual tasks that they have. And with this, there’s a constant need for the intelligence to kind of understand how this can be actually delivered seamlessly and how they can actually coordinate this with the multiple teams. The another one here is the discovery shift. As we know that all our customers are constantly browsing, constantly searching, putting prompts on all the LM platforms that we have like chat, GPT, perplexity or even copilot. And more so ever, the conversations have become very interactive and very upfront. So with this, we know that we have to be as an organization stand up and make sure that we will be on top of things and our website and our content will be easily readable for not only humans but also for these LM platforms. So with this, like we know, operating model is another piece that has become more and more important. We know that there are so many AI features, so many new AI driven mechanisms that are coming up. We want to make sure that our organizations are not only just adopting for the sake of it, but also making sure that how they can inbuilt trust within all these automation processes, be it any agent that you’re using. So constantly making sure that the governance factor is in place as well. So with this, we know that the system of record is the system of action. So making sure this is where I’m going to help you try to navigate that navigate these three changes and help you understand how we can bring this to life and make our life easier with AEM.

All good. So we’ll actually release our first poll.

So Pawan, can you hit the launch here? All good. So the question, the first poll that we have here is how mature is your organization in adopting AI for digital experience? I’ll just read quickly the options. So is it, are you in the exploring phase, evaluating, trying to understand AI features? Are you in the pilot phase that you’ve already started using some of the use cases or in the pilot phase, are you already in the scaling mode or are you already at a stage where you have reached the mature journey and you’re already operationalizing your governance? All good. So I can see some responses coming in. I can see about the first, the second one is actually hitting the mark. I’ll give about 10 seconds.

All good. So we have about 70% who has actually said that piloting, they are in the stage of piloting few use cases, and that’s exactly what we have heard from our organizations. They are in this phase where they understand the features and they have already started to pilot some of them. They want use cases they have, they already started to build on it.

All good. Let me go back to the slides.

So moving on, we just wanted to, before we dive deeper into our agents, just want to highlight here, like we know and we always want to make sure about this is we are not here to replace people. We are making sure that we just want to remove the friction and want to make sure that all our talented people that we have, all the different team members we have, we are making sure that we make their lives easier and eliminate that repetitive work. So about 55%, as you can see on the screen, the 55% of the Fortune 500 companies will have already adopted all the AI driven agents and they must be already delivering personalized customer experience. And what this tells me is that people or the organizations who are not adopting that they are going to be left behind and they will be left behind with the other teams that are already automating it and already scaling it. So with this, we want to make sure that Agendic AI is something that is here to help us and not replace us. Moving on to the next one.

So coming here, before we get into much more deep dive on the individual agents, I just want to highlight the whole portfolio map of our AEM mechanism here. So the first one you can see here is the AI assistant. So AEM AI assistant is nothing but a small act like your conversational interface. So like more of your concierge where you can ask questions, understand about any product information or about any knowledge or how your even cloud manager is performing. So these are the things you can act and make your internal operations more seamless. And that not only helps productivity, but it actually helps any of your troubleshooting work gets done faster as well. The agents in AEM is something where we will be having our product demos and shortly provided. But this is something is more like your purpose build agents. So any of your workflows you have, any specialized use cases or those tasks that you are looking to actually get the job done. These are the ones that agents will actually help you do the job, actually execute it. And majorly, the adjacent, the last layer that we have here is the adjacent optimization products. That’s nothing but we have adjacent products like our Adobe Sites Optimizer, which is more of taking, it takes care of your overall health of your site, improves your SEO and accessibility for your audience, for your customers. And LM Optimizer is another product layer that not only helps you go in terms of improving your AI searches, but also helps your customers get to your pages, get to your content faster. So with this, I want to highlight this that think of your AI assistant as majorly your, like a front door to your work and agents act like those specialized workers.

All good. Now coming into our specific features here, I also want to highlight the personas firstly. So as we all know that these are the major personas that we have in our organizations, and I want you to actually put it in the chat and let me know which persona do you actually resonate with. And the one where you think that it’s something that actually helps you in your day to day life. So meaning put it in the chat and tell me in terms of are there any current processes that you think we really want to automate or are there any bottlenecks or challenges you have faced currently that you want to highlight here and share with the team. And I will go through one by one on the agents that will help you understand how we can eliminate those challenges. So highlighting these personas here, so we know like marketing teams are someone who are really always under constant pressure. They are the ones who are trying to understand how we can make sure we hit the campaign go live. Also, we want to make sure how the content is going to be looking seamless and how we can make it more more creative to our audience or to our customers. So there’s always a constant knack or the constant trouble going on in terms of which agent or how we can actually automate these processes or how we can actually make sure that we don’t have to worry about spending countless hours to create new content or to spend time on it, but actually use the existing one. So just reuse the ones that we already have. With this, there’s one agentic intelligence that’s going to actually help solve this. And with our second persona here, the IT operations, so we know our operations team or our technical teams are always expected to be very on the go and always making sure that how we can deploy changes faster, how our pipelines are going to be on track, anything if that’s going on production, how we can actually make sure nothing gets broken or how we can actually address all the troubleshooting issues prior to production. So this is where these teams are constantly under pressure and finding new ways how they can navigate and also make sure that how this can go in real time. So there’s obviously an agent on that, which I’ll come to shortly. And the last, the very last persona is also a very important one, I would say. These are the ones who are more of your business analysts, more of your business practitioners, where they are constantly thinking about how we can make our content repository creative, what are those multi channels or multi brands where we can see how they can actually make things easier for themselves, but also reach wider audience. So engagement, increasing engagement is always on top of their mind. So then with the agentic intelligence, there’s obviously a need where they can help and find these things much done faster for them, and also how they can reformat changes.

I’ll be going through the chat shortly, but I hope you have put some things around which persona you actually resonate with. So really looking forward to actually looking forward to see that.

So here is a slide about all the six agents that we have. So let me paint a picture here. So each of these agents actually solve distinct problems like the main distinct problem. And it also helps you to achieve your entire business. So let’s talk about the entire end to end content lifecycle. The first one here is the experience modernization agent. So this is nothing but think of your you have your legacy CMS, your traditional CMS that you’re looking to migrate it to AEM EDS. So this is where you’re trying to understand, like how I can make this seamless, how I can make it automate. And we all know it’s it takes so much time to actually get this job done. So experience modernization helps you to get that job done easier. And it saves your time from months, years to actually weeks. With the experience production agent, which is our second one, this is nothing but once you’ve already migrated, the experience production agent helps you to update your content, your update any of the assets that you have, or any changes that you have done on your side at a very seamless manner. We’ll come on to the demo where we’ll showcase you this in depth. The third one is the discovery agent, which is more like it’s in the name where you have to any assets, any content that you have, with the help of just one prompt, you can easily locate and search those content assets. And with that, we have the final three agents here that is nothing but more around operationalizing it and optimizing your tasks and your daily routine tasks as well. So content optimization agent is more from a channel where it makes it more channel agnostic. So meaning you can create variations and different renditions of your assets within fraction of minutes.

And with development agent, this is where the one is more majorly focused on our IT and operational persona. So one where you can easily troubleshoot any problems or any pipeline issues that you have. And lastly, the governance one is a major important one, where it actually helps you understand in terms of how you can stay on brand and compliant with your all your automation processes.

So now let me go through one by one in terms of all these agents and what exactly are their use cases and benefits. So with the experience modernization, like I said, it helps you accelerate your migration and make your sites migration ready. So meaning any of your sites that you have, you can easily migrate the sites or like a full entire site or certain site URLs to AEM EDS. So when I say EDS, it’s the edge delivery services. And majorly with this, what happens is that you can actually whatever traditional CMS that you have used, you can actually bypass that and you can actually convert it into the one that is suitable for your edge delivery services site. So it actually picks up the style systems, your brand templates that you have already formed. It picks up that and it automates in a much more seamless manner. So any of your design systems which are already set up, it gets the job done. If you have any Figma mockups or Figma designs, also it helps recreate different styles and make it more brand ready for LLM sites and also for your human interactions as well. And on the right hand side, you can see there’s this screenshot, which is more like a preview console that helps you identify and checks in terms of how the actual site is looking like. Meaning how the page is looking like and is it actually good enough for me to make it live or are there any checkpoints that I need to make sure of. So this is the AI preview console that helps you to kind of put in your prompts as to how you want to detect and direct your style systems, how you want the look and feel to be before you kind of go live into your changes. And you can also put in some code changes and see in terms of how it’s actually picking up and you can make this production ready. So with this, the major benefit that our teams, our organizations have noticed is the 75% faster improvement through automation. Meaning the job is getting done much more in easier way where they don’t have to rely so much on IT or they don’t have to rely so much around the time part as well. So the time and effort is something which significantly improves here and at the same time your team members can easily validate with the help of the console. They can easily validate any results that they have.

Put it in the chat if you agree with this or let me know if there are any experiences that you’ve seen in the past in terms of migration. I believe you must have noticed that it must be taking hours or months for you to actually complete that.

Coming on to our next one, so experience production agent. So this is where once you have already migrated your site, the experience production agent picks that and it actually helps you streamline your content operations. So that’s nothing but any small change or any content updates you want to do on say high volume of pages. You have so many URLs, you have so many different sub-services, products that you’re always wondering how can I automate this or how can I automate this. So this is where you can quickly make changes to this. So with the production agent it actually makes your job much more easier. You can perform full actions at the same time you can make sure that your experience is much more aligned with all the global updates you have. Because we all know that we have so many global websites, sub websites, microsites that we are working on. So we want to make sure that all our content is seamless and consistent across all the global sites, microsites we have. And also making sure that our metadata is standardized across all these different sites. So this is where you can see on the right hand side how with a quick prompt, we have put a prompt here that you can set up a new form. And they are giving some options in terms of how you want this to be set up and what it should look like. So this is where you can make it more action ready and you can provide those certain prompts, you can provide those actions in terms of what you want the agent to do for you. And majorly with this the value part is something again, majorly it’s the 75% faster modernization. And when I say that it’s not just the automation but it also automates the code transformation as well. So quickly the code changes are in place, your teams can validate that as well. And with the high volume data we want to obviously make sure that we want to cut back all the manual effort and the time that our teams are putting. So that’s another major benefit I want to highlight.

All good. Coming into our very third agent, the discovery agent. So this one is more, this is one of my favorite as well because I’ve heard from so many customers that our teams are spending countless hours of time or countless, like sometimes days also that they’re not able to find an approved content. So meaning they have to go through so many different folder structures, so many different files and still not able to see where are these approved assets or content sitting. So this is where the discovery agent helps you to kind of make a bigger impact in your day to day life. And majorly with this you can use with your natural language, you can just quickly type in, in terms of what assets you want to find out, where exactly they are located, that information also this agent provides you. And like you can see on the right hand side here, it gives you in terms of where these assets are sitting, what sort of detail like metadata or taxonomy structure you have set up, it gives that information as well. Which is really interesting because we all know that when we have to hit that campaign go live, we want to make sure we don’t miss out on any dates and we are quickly releasing our content. So with this majorly the value part is not only about saving time here on getting and discovering assets, but also making sure that how all our team members are actually using this. Are they well versed with this, are they able to find the assets, but also are they able to make things consistent as well. This is where you can strengthen the brand trust and with this accuracy all your team members are going to be on top of things and not miss out those campaign live days that I spoke about. But lastly it is more about not just the discoverability within your internal teams, but the discoverability is also within your agentic platforms. So this is where when you have all those metadata, all those detail, approve assets, on track, on place, your LM platforms, the different LM platforms can also pick this up which will help you for your AI ready pages.

All good. So let me before I go into our other agents, other three agents that we have, I’m going to quickly come onto the screen and this is one of my favorite image. But just to highlight here, this is an image where now I’m going to help you in terms of understanding how we can actually make things much more easier for you. But before I do that, can you put it in the chat in terms of what do you think, how much time this is going to take to actually help me to process this image through different channels. Meaning, what do you think, how much time it will take to actually create different variations of these images. So help me put it in the chat if you have gone through that before. Has it taken you hours or has it taken your teams even days to create multiple variations, renditions of this asset.

All good. Now I’m going to show you how this can be done within few seconds.

Let me share my demo screen.

All good. Can everyone see my screen? Yep.

All good. So just I’m going to first go. This is my asset interface that I have and I’m in my SAT event learning. That’s the broad environment. I’m going to click on the AI assistant and just going to give a prompt in terms of Let’s see if this prompt actually helps me create different variations of that image. So firstly, I’m going to type that same image that you saw on the slide, which was cat drinking warm milk.

So you can see this is actually calling the discovery agent to find that asset because I’ve put the specific name of the asset. Now it’s asking me it’s in the which environment, which repository. So that’s in the broad because I’m in the broad environment at the moment. Now I’m going to put my prompt, which I have prepared for this, where I want to create different variations for my image. So meaning I want to make this ready for my cross promotional channels that I have like Facebook, social or email as well.

So I’ve said create variations.

Best suited for web banner, this one.

So I’ve given actually five images, so I’ve told them to actually create a web banner variation for me, email hero banner and also for my Facebook social post.

So as you can see, it’s actually started to pop out and these are all the different options they have given me. And I can also with this, I can click on the dynamic media URL and I can share this internally with my teams as well. Just one thing to keep in mind is that this any prompt or content for you to actually use the content optimization agent and to make asset variations, your assets have to be in an approved state.

All good. Let me go back to my PPT one second.

All good. So here that that’s the exact thing what I showed you on content optimization agent. I won’t go through everything in detail, but you exactly saw how easy it is to create different variations of your assets. And also it not only helps you to create, but also makes it performance optimized for all your different channels. So without worrying about going on Photoshop or going on other tools, you don’t have to like spend time on that.

And with that, with our development agents, so we have two interesting ones. These are some something where our IT operations team, like I said, are very, like it’s very useful for them. So majorly the development agent is nothing but it helps your team members, technical team members accelerate any engineering work they have. So meaning, like I said, any troubleshooting or pipeline issues that they are facing, they can quickly analyze those issues and the agent actually provides them recommended fix.

And another thing is that with the help of you all must have heard about MCP servers and how it’s the dock of the town now. So with MCP, it’s actually, which is more like a universal plug. So with MCP, what you can do is whatever known tools that you have, like your chat GPT, copilot, your cloud, all these LM platforms, what it does is that you can seamlessly connect the AM MCP with these tools. And without worrying about going to cloud manager, you can actually be in these tools in your known tools and create your different recommendations that you want to put. So with MCP, you can actually deploy your cloud management, you can put a prompt into Claude and tell them to fix any bug that they must, you must have actually noticed. And these issues can be fixed within few minutes and it doesn’t take that much time. So meaning it, you can deploy it by within saying in Claude and other other LM tools and you will see the change that has already been taken in your cloud manager. So this is a beauty of a development agent and it’s nothing but it not only helps in developer velocity, but it also makes sure that any of your issues or troubleshooting problems you have, you are already assessing that prior to going production. So this is where the performance takes place and it enhances your overall site performance and it helps you make sure that any of other issues that you want to develop are not going to be fixed.

So with this, I’m going to go on to our last agent, that’s the governance agent. So now that you saw the demo, you saw the previous agents, the use cases of all those agents, I really want to stress on the governance agent is that this is the one that helps you kind of make things more trustworthy and you can automate all your things. So meaning in terms of whatever brand checks you have or any legal policies you have on your website, you can make sure that these are all up to date and actually up to date in real time. Like many times you must have seen any new updates have come up on our industry guidelines. We always have to follow and make sure we keep it live to our audience. So this is where the governance agent actually helps you to apply those specific rules to your brand policies, even to your any expired assets if you have. So these are the ones it automatically pushes that with one prompt and you can make the changes done faster. So this is not only helps in shorter review cycles, but any important or sudden government changes or anything that you have, you can put that seamlessly and you can make updates to it within a fraction of seconds. So any of your legal teams or compliance checks that you think that it’s going to take hours or months to fix it, it’s actually going to eliminate that and eliminate all your manual audits as well.

So with this, I just want to leave you with one thing in mind is that all these agents have each agents have all the like main purpose behind it. And this is what our end to end workflow that we talked about an end to end workflow looks like that we talked about modernization. We had talked about production in the past, then how you can discover your assets and in the end how you can actually govern the agent and actually do governance compliance. So with this, we not only are automating our workflows, but making sure that we are future ready.

I’m going to release another poll now and Pawan over to you.

Okay, so which Adobe AI capabilities are you currently using? These are some of the options you can pick two of the options from any of the ones. So let me know when you’re done.

I can read some of them. So the first one is content creation. So are you using any AI capabilities for your content updates or for any discovery? Or are you using an agent or like currently on your channel optimization? Is there anything you would like to highlight? Please put it in the chat as well. Yeah.

All good, so I can see about 64% or the almost there’s actually a tie. So that’s 50 to 50%. So 50% have said that they are obviously or currently in a position to use or using the content creation and of AI capabilities for content creation and updates. And the second one is the channel for their channel optimization and performance. All good. With that, we’ll go back and I will hand over to Pawan who will take you through some of our custom demos.

Thanks Madhu. Thank you.

Yeah, so as we talked about these agents are helping on covering some of the use cases, right? Okay, I will just quickly show a couple of demos based on some of the agent how it can be helpful. So one of the agents which I want to showcase a demo is the governance agent. And this is basically very critical in terms of the content. Whenever your content is getting published to across multiple channels, multiple markets, your brand and compliance check needs to be done. And most of the time the customer doing those check manually. This agent basically helping to basically automate those checks and before any content changes get pushed to the your live pages or channels, you can basically perform these test cases to check whether the page is making those compliance check. If not, it can basically suggest what can be the appropriate changes need to be done. So to do that, in your cloud manager screen, you will see option called governance contest, you can click on that, it will basically give you an option to configure brand guideline right to here I have multiple brands, one of the brand is coffee brand. Within the brand, you should be able to configure different checks. So your checks can be related to your content. And also the content when I say the content, it may be related to your images, right? So you can define number of your based compliance check, which needs to be performed for all the pages which are getting pushed to multiple channels. So this is a place you can configure your brand’s guidelines. And any of the page which is basically live on your system, you can attach the domain which domain these brand compliance needs to be configured. And after that, whenever you pushing any changes, you can leverage the assistant option, which is available throughout the cloud manager to basically run this check, right? So any of the page which you think that needs to be done for the compliance check, you can just pass a contact that does this page.

So you can just pass a query to the assistant, it basically understand all your natural languages. So in no need to worry about if you have written a typing mistake, or you are not providing the full context. In case there’s a need to ask the further ask, it will basically tell you right, so it will basically going to run the governance check. As you can see in the detail of the agent, it basically calling that which agent is getting called. And then the other one is the And based on that, the test case run, I have configured around 14 branch check around the text and images, it basically going to those check against the content which is present on this site, and will tell me whether are the this page is following the brand guideline check or not. So as you can see it run the test cases. And it told me that out of the 14 guidelines, my 10 tests are getting failed, right. And these are the images which are not basically following the brand guideline. In case you want to know the further detail, you can save and show me the further detail on why these checks got failed. So you can pass these contacts over here and it will tell you the detailed description of why these checks got failed to understand that okay, what are the changes is needed to be made the change from your content, so that you can basically make sure that you are in the journey of making sure that all the content is available, are compliant against your brand, right. So this is the quick way to configure your governance agent, and make sure that you are not having to worry about the changes. So that you can leverage these brand check across throughout your pages.

Second thing I want to focus about is talk about the development agent basically. So think about a lot of time the developer is more focusing about deploying a lot of the code to the cloud, and it goes to the multiple checks of deploying till that the code is deployed to the production or the any of the environment. Any of this step if that check is got failed, it will generate 1000 lives of error code, right and sometimes very difficult to find out why that error came and what are the resolution right. So using the developer agent, you can basically check why basically help to generate to navigate figure out what may be happened the lock and also provide the solution, what may be the occur over there. So let me take example think about on this my environment, one of the pipeline got failed, and I don’t basically I don’t know what is happening over there. Someone have to review the code and everything. But in case I want to use my developer agent capability use, I can just pass the context that okay, can you help me by this pipeline? What failed and I can just passing the contact that okay, this is a pipeline according about.

AI system will ultimately understand the context over what you’re trying to say it will automatically going to call the developer agent behind the scene and it will tell you that okay why it will go through all the logs for me. It will check why what are the missing error over there and it will tell you the reason behind all that.

So this agent can be helpful to move your development cycle faster so the developer or the occur can more focus on the delivery part rather than investing the time on the on the troubleshooting part. So this will basically solving the purpose of solving the troubleshooting part. And as you can see this agent is being done and it telling you okay within this report. These are the major bugs which are got failed. And these are the appropriate fixes which you can do in the system.

Third and last one which I want to showcase is basically using that governance like optimization agent. So I have this site. Let me go to one of my environment.

I’m just opening a page which is using an EDS website. So this is one of my page.

And I’m basically running a campaign on this page which basically contain a fitted website about the coffee and how the things over there. I want to basically I want to use some of the new image over there right which is being published. So what I can do basically I can ask the agent that okay. Show me all the images related to coffee.

So what it will do it will basically do the discovery agent to give me all the images which are related to coffee. So it’s a contextual search which is being done behind the scene. And what the author can do he don’t have to go to the multiple screen after that if he want to replace any of the image within the page he can do it right. So let this agent to give me all the result.

So it able to find 20 images which are basically available for me which have the images with the coffee. What I can do I can select this image and I can tell that okay replace the image from the place this.

From the first image which is basically the image which is being shown over here right. So what the agent will do it is basically going to call my production agent. And what it will do it will basically replace the current image with the image which I want to replace it right. So I’m just tell me do you want to do it. I just say apply changes. My changes will be done immediately right. So it basically saving a lot of time for the producer to update the content keeping in the same context so that you can mix a lot of the agent together. And you can basically improve your operation efficiency. So this was a short demo which I want to showcase and I will hand over to Madhu again for the AI Assistant demo.

Thank you. Thank you.

So this is where you can see in terms of how that experience hub looks like and I’ll also take you through the AI Assistant demo as well. So let me hit.

Come back to my home screen so you can see my screen here as the x. This is the more like the purple. The icon you can see the purple color you can see this is my experience hub, you can perform these are all the quick actions that your teams can take. I am put in the preset on admin and it. You can toggle in with based on your persona and department that you are in and with quick actions you can get edit and check in terms of do you want to see your recent pipeline activity. Do you want to create a new site or a new form or even a new content fragment with the recent buttons that you see here you can see what all the recent changes that you have done on your pages and it’s sort of when you have actually access that last. And this is more like your experience hub which is like I said a front door to get things done faster and this helps you to kind of get to the place where you want to and with the AI Assistant. This is where on the top hand you can see in terms of how like this is more like your conversational hub. Like I said, if I just want to ask them. Just a quick prompt around what is governance agent within a yam so it kind of tells me provides me product knowledge and also give me some recommendations on how my current.

So this is more in terms of you can ask questions you can check back in terms of if there are any if you think there are any inaccuracies or anything. You can also always check the guidelines as well in terms of how your performance or your setup has been configured. And coming into lastly on our generate variations section. So that’s nothing but generate variations is like a platform where it actually helps you optimize your content even better and it makes makes it much more easily readable and accessible for your audience. So this is my universal editor page where you can see that I have clicked on the block and it helps me kind of navigate in terms of if I want to make this more kind of operate operationalized for my SEO or do I want to refresh it for for say for example for a promotional block.

I can select from the suggestions as well in terms of how I want this particular paragraph or a text block to actually look like and make more easily readable.

And we generate variations just to one more highlight one point is that you can use generate variations with your EDS side also with your content fragment. So within your content fragment editor you can use generate variations and with the help of the universal editor you can seamlessly perform these actions and deploy the changes. So I know I like this first paragraph. I am going to hit the button here and the edit button and just go to click Save. So when I hit save it’s actually going to pick up and replace it with the previous paragraph that I had.

So coming back to our the slides here we are almost we are done with our main two topics and we’ll be running and getting into the poll now. So let me hit the launch for the last poll that we have. So what is your biggest challenge in scaling AI driven content operations today.

So once you hit the launch will see it for the final poll. Yeah.

All good. So these are some of the options. Feel free to type in or also select the option as to what is your biggest challenge at the moment. And you think that this is what you want to operationalize or you want to actually fix it.

Thank you. So I can see all this 50 percent of you have actually chosen you want to fix and your biggest challenge is the manual effort and slow workflows and the second 50 percent have chosen compliance and governance checks. So this is what I can see at the moment and things are changing between the top two options. Some are also selected. There’s the biggest challenge is the migration issues and difficulty in migration and modernizing platforms.

All good. Thank you for that. So with this we are going to go back to our value topic and I’ll hand over to Richa who will take you there. Yeah. Thanks Madhu if you can keep the PPT going. Thank you. If you can take over. Thank you so much. Hi everyone. My name is Richa Kaitaan. I head customer value for JPAQ which essentially means I work with customers our top customers across industries in this region and working with them in defining and measuring the impact of their martech investments with Adobe.

Today’s session I think if you go on to the next slide in today’s session we have looked at some fantastic features capabilities of AI that are going to enhance your the customer experiences or the employee experiences that you’re able to orchestrate using a AM. But I’d like us to sort of zoom out a bit and for the next 10 minutes think a little more broadly about what is the business value these agents can unlock for your organization. We’re going to talk about a simple value measurement framework which helps measure the business impact and this could be applied to your AI investments. It can apply to your market martech investments overall.

I want to start by addressing something that I think every every practitioner in this room is thinking which is we have now come into a world where AI is everywhere. Everyone is talking about co-pilots, automating workflows, our vendors are generating content faster. But most organizations are still not being able to answer one simple question which I’m sure is on your mind as well which is what is the business impact this AI is actually being able to create. Because in 2026 AI is no longer going to be judged by demos. It’s going to be judged by the outcomes that it’s able to create for your business. Executives will not buy prompts. They are going to buy a story around revenue growth, productivity, speed to market, efficiencies. And so in this session in this section we’re going to talk about a value framework where we talk about three lenses that help you answer six simple questions to help you arrive at the business impact of your AI investments. If you go on to the next slide.

I want to first start by addressing that value is subjective. And we have seen over the last 10 years working with customers globally as well as with our partners like Forrester, IDC, Gartner, we have seen that value is defined very differently by organizations but also within the same organization by teams. So when we think about value, these three lenses help bridge that gap. The first lens that we talk about is capability readiness. So for the investments that you have made in AI is your team using all the capabilities? Are you automating your workflows? Are you generating AI generated assets, auto tagging? What is the sort of increase in volume metrics that you’re seeing around the AI interactions, etc. It’s a very, very important metric usage. It’s a very critical piece of the value puzzle, but it doesn’t complete the picture. This lens we think typically resonates with martech teams and IT teams within an organization. But one of the biggest mistakes that we see organizations make is to make this the definition of value. Like we said, this is one of the lenses and provides one part of the story. Let’s look at what the second lens brings in. The second lens is what we define as the experience impact. So given that you have invested in a set of AI capabilities, these capabilities are helping you activate experiences. These experiences can either be for your customers, which translate into CX, delivered through your digital properties, or it could be employee experiences, which help your employees become more productive, more efficient, improves speed to market. So the second lens is what marketers and business leaders or business teams would be more focused on. Again, doesn’t complete the picture without the third lens. Because with experience, AI stops being an innovation. You get into business strategy because you’re able to tie the outcomes from the capability to the experience that capability was able to activate. And now the third pillar, which is the financial impact. What is the outcome you’re being able to generate for your organization? Revenue influence, cost reduction, productivity gains. This is the language that leadership speak. And increasingly practitioners are also being asked to speak this language. Practitioners that are able to bridge this gap between capability and business impact are going to become the most strategic and important people within organizations. So it’s important that we start thinking about it like that. If you go to the next slide. So we spoke about the three pillars, right? We spoke about the lenses, and we spoke about what kind of focus each lens has. How do we drive, how do we take this to measurement to arrive at a dollar impact? We feel that use cases bring in the right level of granularity or data that help you then measure or model the value across these three lenses.

One important point to note here, a use case is not how you use AI. A use case is the measurable business outcome that is enabled by AI.

How we define within Adobe, we have identified six very simple ways of describing a use case, which map it back to the three lenses. Who, what, where, why, how, and what KPI is defined success. The who, what, where are the parts of the use case that help define the experience it’s delivering. Who is the target audience? What is the impacted workflow where we are supporting them with AI? Where is this experience being delivered within our organization? Is it a line of business? Is it a geography? Is it a particular digital property? What is it? These three questions together identify the experience that your AI is enabling. The how is the first pillar, which is how is AI enabling this experience? What is the specific capability that is helping enable this experience? And the why is, why is this use case worth delivering? What is the business outcome that we are trying to define from it? It’s important that we start thinking business objectives first and then arrive at the remaining parts of the use case. Because unless you are addressing a business challenge or a business objective, your use case is not going to contribute to your organization’s success. So it’s important that we stitch the story. If you go on to the next slide, this is where we’re talking about how we operationalize this framework. So we talked about these three lenses, we talked about answering these six questions. The kind of data that you would then bring in by answering these questions are for capability, for example, the first pillar, you would for an AI, AM AI product, you would look at usage around perhaps a number of content fragments that are AI generated, or the number of assets that have been auto tagged, or the number of content variations that are produced via automation. It depends on what the use case is, right? The second part, which is the experience impact is that is something that would be captured via indicators such as what is the improvement in conversion rate? How has my average order value gone up? You know, has my bounce rate improved? Has my cart abandon rate reduced because of these use cases? This is customer experience use cases, but then for your employees, it would reflect in how has my employee productivity increased? Or how has the CSAT improved? Or how has the time to complete a particular task changed? So, this would be the data that you capture against experience. And the third one, which is the financial impact is where you would look at what is the value of the experience? So, what is the average cart order value? Or what is the, you know, average subscription value or customer lifetime value? What is it that we are being able to impact? A into B into C is what gives you your dollar impact. Okay, so I want to go into the next two or three time permitting, we do we have time? Maybe I’ll do? Yep, we can do this one.

Okay, cool. So from the agents that Madhu has just taken us through, right, I have put together a sort of illustrative example around two, three sort of examples to take you through. The first one is on experience production agent, right? So the experience that we are trying to impact here is accelerate content velocity by marketing teams or content authors, empowering non developers. So we are reducing the time spent or dependency on engineering team by empowering marketers and content authors to create these experiences via Adobe, the experience product agent production agent capabilities, which I have highlighted here. How we would capture this in dollar impact terms would be for A, we would look at the number of pages of fragments that have been updated via this automation, get that value at an annual level, I’ve taken 12,000 here, as an example, multiply this by the average time that we have saved per update per activity that we are engaging in updation. I have taken a very conservative figure of 1.5 hours, but all of us know that these workflows can be multi week workflows. So there will be significant efficiencies you can bring in here. And then the third one that we multiply this with is 12,000 into one and a half hours saved per task into what is the blended hourly cost of author and developer time that we have avoided. So when you multiply these three figures, you arrive at productivity savings from ticket elimination of the amount about 100 810 k. If you go to the next, actually go to the third slide, which is modernizing legacy sites faster, safer, right? That’s the use case. Here we are using experience modernization agent. We’re again, the target group here is digital platform owners, or you know, web transformation lead leaders that we are helping them automate migration of legacy sites and designs to an edge ready architecture. What are we doing? We are helping them reduce time, cost and risk by automating this modernization, right? So the way that we would look at capturing the business impact of this use case would be look at the number of pages that have been migrated via this automation. I’ve taken an example of 8000 multiply that by the time that has the reduction in migration time per page. So if earlier we were taking six hours, now we’re taking four hours as a two hour reduction that we are tracking here. And then the average migration cost per hour. Again, this could be a blended rate depending on which roles have been engaged in the migration process. These are industry values. You could take an average value here that you think is agreeable to your finance teams. But it’s just an indication, indicative way for you to start tracking against outcomes that you’re being able to create for activities where employee time has been saved. So the estimated migration cost savings in this case amount to 1.2 million. I have laid out about eight more use cases for all of you templates for all of you to leverage in the appendix section.

But it’s really about how we customize this with the language that is acceptable to our organization. It is defensible with the finance team within our own organization. So a lot of this has to be customized to what is relevant for your organization. But it’s a great starting point for you to start thinking about value.

I know we are top of the hour. So with this, I’ll hand back over to Betsy to close out. Thanks everyone. And open for questions, please put them in the chat and we can get back to you after the session to address them. Great. Thanks, Richa. All right, so I know the team has gone through a lot of information in the last hour, and I know it’s a lot. If you go to the next slide, I think we just wanted to reiterate that the Ultimate Success team is here to help you every step of the way. So our team works with what we call success accelerators, and we’ve got two success accelerators that are here to help you guys on this journey. The first one is all around AI and agentic readiness, and that’s about working with you to help identify the use cases for leveraging this new AI features. And then working through with you and making sure the team’s set up, the architecture from your side is set up as well in order to start leveraging these things. So feel free to reach out to us and we can work with you on getting that success accelerator going. And then the other one is a value measurement framework, which is what Richa was just speaking to. So this is where Richa and her team can work and go deeper on identifying those use cases and uncovering the value that you guys are seeing from those. So those are two ways that our team can work hand in hand with you to help drive the adoption and the value of these solutions.

Outside of that, on the next slide, I believe, talks through a lot of other resources that are available to you. There’s expanded Experience League content and hands-on guidance that’s available specifically for the AI features available to everyone on Experience League. If you are a member of the Premium Learning Service, there are additional role-based programs, especially for market leaders.

We also have an AI training and community and there’s a new value realization program that’s going to be coming up. So lots of things that are happening. I think there’s new things that are coming out each week. On the next slide, we’ll talk through some of the new AI training hub that’s recently launched on Experience League. So there’s lots of really great courses in here. I believe there’s also a new podcast that’s just come out as well. So we are trying to stay up to date on all of the different features and availabilities and make sure that all of our customers have access to everything as well. So make sure you bookmark Experience League and check that out to get all of the latest enablement and features there. And then finally, I think the last one, we pinned this in the chat at the beginning of the session as well. If you could just take a few minutes and take a photo of the QR code and fill out the survey, that would be great. So we can make sure that we are adapting any of the content for the future sessions. And I think in there as well, we’ll also ask if you want follow-up conversations with anyone from our team as well. So we’re here to help. I know it’s all new and exciting, so you’re not on your own. Feel free to reach out to us if you guys have any questions. And I just want to thank all of the presenters today. And for those of you that were active in the chat, appreciate it. And we will be sending out a link to the recording and the deck in the next couple of days.

With that, I think we can close it. Have a good afternoon, everyone.

Thank you, everyone.