🎙️Submit your question for Episode 3 of Thinking, With AI | Community
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susanaziz
Adobe Employee
Adobe Employee
March 25, 2026

🎙️Submit your question for Episode 3 of Thinking, With AI

  • March 25, 2026
  • 2 replies
  • 172 views

🎧 Episode #3: AI Isn’t the Hard Part. Your Org Structure Is

 
We’re about to head into the podcast studio and film Episode 3 of Thinking, With AI. This time, we are excited to chat with ​@mbr4n , a technical solutions leader focused on real-time personalization, AI-driven audience strategy, and enterprise AEP adoption.

 

Melissa is an AEP Champion that works closely with teams to design and operationalize AEP, from platform migration and schema architecture to journey design. In this episode, we’re getting into what AI actually looks like inside organizations today. Not theory, but how it’s showing up in real workflows, from agents summarizing Jira tickets to accelerating how teams communicate with customers.


📞 As usual, we’re adding your voice to the conversation. In the comments below, share a question for Melissa about:  

  • Getting started with AI at work
  • Navigating unclear guidelines
  • Teams and organizational dynamics
  • Scaling beyond experimentation

We’ll choose 1–2 community-sourced questions to feature in the episode — either read aloud or voiced directly by you. 
 
Don’t Forget: Make sure to include your full name, title, company, and question. These details will help us introduce you properly if your question is selected.

2 replies

narendragandhi
Community Advisor
Community Advisor
March 26, 2026

Narendra Gandhi - Architect, Publicis Sapient

As we see the rapid emergence of AI agents capable of supporting complex project tasks, how might we define a staff‑augmentation model where humans and AI agents work together effectively? In that context, how should we think about Human‑in‑the‑Loop (HITL) governance for an Adobe Experience Platform (AEP) implementation?

Level 1
March 27, 2026

For legacy companies that have been operating the same way for years, what does successful AI adoption realistically look like? How can they introduce new AI practices without disrupting existing processes, culture, or trust?