AJO Experts on AEP Agent Orchestrator & Agentic AI | Community
Skip to main content
Sukrity_Wadhwa
Community Manager
Community Manager
October 27, 2025

AJO Experts on AEP Agent Orchestrator & Agentic AI

  • October 27, 2025
  • 8 replies
  • 2276 views

November 12th, 2025

 

We are happy to welcome Cole Connelly, Sr Product Manager, Huong Vu, Product Marketing Manager, Namita Krishnan, Product Manager, Brent Kostak, Sr Product Marketing Manager, David Arbour, Sr Research Scientist, Justin Grover, Principal Product Manager, Sandra Hausmann, Sr Technical Marketing Engineer and Daniel Wright, Sr Technical Marketing Engineer, for an AMA session about ‘Next-Gen customer experiences & efficiency with Adobe Experience Platform Agent Orchestrator’ and ‘The Next Era of Experimentation: How Agentic AI is Fueling Smarter Testing and Growth’.

 

Our experts:

  • Namita Krishnan is a product manager for Adobe Experience Platform, working on Agent Orchestrator and AI Assistant to enable intelligent, agentic workflows across enterprise systems. She focuses on shaping conversational experiences that drive quality, user trust, and measurable value realization. Namita joined Adobe in 2024 after earning her MBA from the University of Chicago Booth School of Business. 

  • Huong Vu is a product marketing manager for Adobe Experience Platform, focusing onleading go-to-market strategies for innovative Experience Platform and AI capabilities and driving awareness and adoption around Adobe’s Customer Experience Orchestration offerings. Vu brings over five years of experience in product and brand marketing. She joined Adobe in 2024 after obtaining her MBA from Kellogg School of Management at Northwestern University.

  • Sandra, as technical product enablement lead for Adobe Journey Optimizer and Adobe Campaign, helps customers enable themselves to get to value quickly and grow their business with these applications.Prior to joining the Product Enablement team, Sandra was Senior Product Manager for Adobe Campaign. She has over 20 years of experience in consulting, presales, and product management and has worked for start-ups as well as global corporations, such as Bosch and eBay.

 

How this AMA works:

  • This thread will open on Wednesday, November 12, for you to start submitting your questions.

  • Reply to this post with any questions you have for our Experts. They will reply to as many of your questions as possible. 

  • After the AMA is over, the thread will be locked for new replies, but it will remain visible as a resource. 

8 replies

November 7, 2025

How do I join this event, please? 🙂 

Thanks

Sukrity_Wadhwa
Community Manager
Community Manager
November 10, 2025

Hi @chloejo1,

This is a type-in AMA event, so you can simply join this AMA live on 12th November by asking your question here in the comments. Simply post your questions in this thread, and our product experts will be actively responding during the dedicated AMA hour on November 12.

If possible, we recommend staying online during that time so you can ask follow-up questions and engage directly with the team. Looking forward to your participation! 🙌

Sukrity Wadhwa
Level 2
November 9, 2025

Hello! We're looking for guidance on more granular reporting for Journey Optimizer suppressions, as we've had quite a few clients asking for this. We want to be able to see who was excluded from the communication channels and why. We can set up policies and see reports on how many people were excluded, but we are looking for the actual breakout of "profile X was not sent the email because they did not have flag Y"

Second question is regarding Remote Offers - we have clients using these for Target, and looking to replicate their pattern within Journey Optimizer. Is this something that will exist for AJO?

Adobe Employee
November 12, 2025

For the Remote Offers question, which types of Remote Offers are your Target clients using? There are three types: 

  1. Remote--offer code is stored on a domain different from your website. Target retrieves it from this external server and caches it.
  2. Onsite Cached--offer code is stored on the same domain as your website. Target retrieves it from this external server and caches it.
  3. Onsite Dynamic-offer code is stored on the same domain as your website. Target returns the URL of the offer location to the page and at.js loads it in the user's browser with an XHR request.

Daniel

 

Level 2
November 12, 2025

Hello! 

 

They are using onsite cached, as that's the only one that currently works with the Web SDK.

sessoms25
Level 3
November 10, 2025

The use of visitor/customer/account data has plenty of legal & compliance concerns - how are others approaching the approval process & awareness to visitors/customers/accounts in order to properly make use of AI capabilities?

Adobe Employee
November 12, 2025

@sessoms25 Could you give me a little more context to your question? Most of our AI today doesn't use visitor/customer/account data, except for some of our AI models that we have had for years (e.g. Auto Personalization in Target). Are you asking the community generally or is there something specific you are after?

sessoms25
Level 3
November 12, 2025

@jgrover1 yes, my question was recently focused on AEP AI Assistant & RT-CDP Predictive Lead & Account Scoring - as we will soon be progressing on our approval requests for the Orchestration Agents.

sessoms25
Level 3
November 10, 2025

What does the timeline/roadmap look like for Bring Your Own Models within Adobe products & platforms?

Namita_Krishnan
Adobe Employee
Adobe Employee
November 12, 2025

Hi @sessoms25 - thank you for you question. Can you please help me understand which type of models you are looking to bring in?

sessoms25
Level 3
November 12, 2025

Hi @namita_krishnan - yes, we have internal data science models like a propensity model that accesses an amount's probability to adopt, renew, expand a subscription and/or entitlement. 

New Member
November 12, 2025

Are the agents that are available (to-date) using (e.g.) Claude as LLM or is Adobe using a custom LLM?

HuongVu
Adobe Employee
Adobe Employee
November 12, 2025

Hi there! Thank you for your question. 

Adobe Experience Platform Agent Orchestrator is Adobe's central technology for building and coordinating all AI Agents in Adobe Experience Cloud. It uses either Microsoft Azure OpenAI or Meta Llama, depending on the provisioned cloud hosting provider. Please refer to this security overview for more information (Large Language Model Series and Data Processing and Storage Locations sections). 

New Member
November 12, 2025

We have been experimenting with building our own Agents (using MCP). Will there be the option to incorporate our specific Agents to Adobe agents... or vice versa?

Namita_Krishnan
Adobe Employee
Adobe Employee
November 12, 2025

Hi @kwokwt - thank you for your question. We are working on initiatives to work with 3rd party agents. We would love to connect to learn more about te agents you are building and use cases so that we can partner on these initiatives.  

Level 1
November 12, 2025

In a B2B context with complex tech stacks, how do you handle third-party systems or agents (outside Adobe) within the orchestrator? What are the “plug-in” or SDK considerations?

Namita_Krishnan
Adobe Employee
Adobe Employee
November 12, 2025

Hi @nappandey - thank you for your question. We are working on initiatives for Agent Orchestrator work with 3rd party agents. We would love to connect to learn more about the use cases you have in mind for B2B so that we can partner on these initiatives.  

New Member
November 13, 2025

Please could you share the recording for the 12th November event?

 

Sukrity_Wadhwa
Community Manager
Community Manager
November 14, 2025

Hi @nissangede1,

This was a type-in AMA event, so there’s no recording available. However, you can check out the full conversation in the comments above.

If you have any follow-up questions or need clarification on any of the responses, feel free to drop them here, we’d be happy to help!

Sukrity Wadhwa
New Member
November 14, 2025

@sukrity_wadhwa thanks for your reply.