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Ask Me Anything, November 12th with Journey Optimizer Product Experts on 'Experiences & efficiency with Adobe Experience Platform Agent Orchestrator' & 'How Agentic AI is Fueling Smarter Testing and Growth'

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Sukrity_Wadhwa
Administrator

10/27/25

Join us for the Adobe Journey Optimizer Community Ask Me Anything! 

 ☕ Wednesday, November 12th from 8am - 9am PT 

We'll be joined by Adobe Journey Optimizer experts: Cole Connelly (@coleconnelly) - Sr Product Manager, Huong Vu (@HuongVu) - Product Marketing Manager, Namita Krishnan (@Namita_Krishnan) - Product Manager, Brent Kostak (@bkostak) - Sr Product Marketing Manager, David Arbour (@user03474) - Sr Research Scientist, Justin Grover (@justin_grover) - Principal Product Manager, Sandra Hausmann (@SHausmann) - Sr Technical Marketing Engineer and Daniel Wright (@dwright) - Sr Technical Marketing Engineer.

In this Ask Me Anything, the experts will be logged in to answer any of your questions related to the topics that were and will be discussed during the following Experience League LIVE sessions:

 

Participation is easy:

  • Add your Questions below by Replying to this thread. 
  • Begin your Question with our hosts' Community Usernames: @coleconnelly, @HuongVu, @Namita_Krishnan, @bkostak, @user03474, @justin_grover, @SHausmann and @dwright.
  • Stand-by to watch the page as the experts weigh in during the hour, so that you can:
    • Clarify your questions
    • Ask follow up Qs and provide additional details
    • See Questions posted by other Community members to up-vote those that you find interesting
    • Discuss further with your AJO Community members and peers 

Meet the Experts

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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. 

 

 

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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.

 

 

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As technical product enablement lead for Adobe Journey Optimizer and Adobe Campaign, Sandra 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.

 

00236062.jpgDavid Arbour is a Senior Research Scientist at Adobe.

 

 

 

 

 

 

 

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Justin Grover is a Principal Product Manager for Digital Experience at Adobe.  

 

 

 

 

 

 

 

image (1).pngCole Connelly is a Senior Product Manager at Adobe.  

 

 

 

 

 

 

 

image.pngBrent Kostak is a Senior Product Marketing Manager at Adobe.  

 

 

 

 

 

 

 

headshot.png Daniel Wright is a Technical Marketing Engineer at Adobe.

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Sukrity_Wadhwa
Administrator

11/10/25

In response to ChloeJo1

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! 🙌

Avatar

ColinRa3
Level 1

11/9/25

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?

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dwright
Employee Advisor

11/12/25

In response to ColinRa3

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

 

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ColinRa3
Level 1

11/12/25

In response to dwright

Hello! 

 

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

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Sukrity_Wadhwa
Administrator

11/12/25

In response to ColinRa3

Hi @ColinRa3, thanks for sharing this! Since this chat is dedicated to topics shared during the Experience League LIVE sessions on:

  • Next-Gen customer experiences & efficiency with Adobe Experience Platform Agent Orchestrator
  • The Next Era of Experimentation: How Agentic AI is Fueling Smarter Testing and Growth

I’d kindly recommend posting these questions in the Journey Optimizer Community instead. That space is best suited for product-specific queries like suppression reporting and Remote Offers, and you'll be more likely to get detailed insights from the right experts there.

Let me know if you need help navigating the community or tagging your post for visibility!

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sessoms25
Level 2

11/10/25

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?

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jgrover1
Employee

11/12/25

In response to sessoms25

@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?

Avatar

sessoms25
Level 2

11/12/25

In response to jgrover1

@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.

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HuongVu
Employee

11/12/25

In response to sessoms25

Hi there! Thank you for the question. I just want to clarify if you're looking for inputs from the Adobe product experts, or fellow practitioners who might be facing the same challenges so we can better answer your question?

Here are Adobe Trust Center resources where you can get the latest information on security practices, compliance reports, and more in a number of our AI products and capabilities to make use in your future legal conversations. 

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sessoms25
Level 2

11/12/25

In response to HuongVu

Thank you @HuongVu - these have proved helpful in our internal approval processes!

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sessoms25
Level 2

11/10/25

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

Avatar

Namita_Krishnan
Employee

11/12/25

In response to sessoms25

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

Avatar

sessoms25
Level 2

11/12/25

In response to Namita_Krishnan

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. 

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kwokWT
Level 1

11/12/25

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

Avatar

HuongVu
Employee

11/12/25

In response to kwokWT

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). 

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kwokWT
Level 1

11/12/25

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?

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Namita_Krishnan
Employee

11/12/25

In response to kwokWT

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.  

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nappandey
Level 1

11/12/25

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?

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Namita_Krishnan
Employee

11/12/25

In response to nappandey

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.  

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NissangeDe1
Level 1

11/13/25

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

 

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Sukrity_Wadhwa
Administrator

11/13/25

In response to NissangeDe1

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!

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Event starts:

Nov 12, 2025 - 08:00 AM (PST)

Event ends:

Nov 12, 2025 - 09:00 AM (PST)