AI Readiness Comes From Within

Adobe Summit is often a celebration of vision. Or, more specifically, a future where generative AI agents manage entire campaigns in seconds and autonomous marketing ecosystems run without human intervention. But for the Marketing Operations (MOps) professional, there is a persistent gap between that flashy stage demo and the daily reality of their tech stack.

The pressure to do AI comes from every direction. However, the mistake most organizations make is starting with the output: they focus on how AI can write more copy or generate more images. But at MERGE, true AI readiness starts with how the internal organization functions, not what the customer sees.  

The Crisis of Fragmented Operations

Most MOps leaders are already challenged by managing a fragmented ecosystem where data is siloed and the standard operating rhythm is held together by spreadsheets and sheer effort. When you layer AI on top of a broken process, you don’t get innovation, you get faster garbage-in and faster garbage-out.

During our virtual session at Adobe Summit, Keir Bradshaw, EVP of Solutions at MERGE, sat down with Alex Piña, Director of Marketing Technology at Baptist Health, to discuss this exact challenge. 

Moving from Talent to Task

A core concept of our philosophy is the shift from Talent to Task. In the traditional model, highly skilled MOps talent spends a disproportionate amount of time on low-value, manual tasks. 

At Baptist Health, they identified a specific manual process (reconciling unsubscribe lists) that was consuming 10 hours of staff time every single week. By utilizing a targeted AI application within their ecosystem, they collapsed those 10 hours into just 15 minutes.

This is AI-powered marketing in action: using technology to absorb the mundane, repetitive tasks so your talent can focus on higher value strategic work. And indeed, by centralizing their work in Adobe Workfront and normalizing their data, Baptist Health saw an 85% increase in content velocity. 

The Internal Blueprint: Governance and Data

To move toward true AI Readiness, you need an internal framework that supports it:

• Centralization as a Prerequisite: If your workflows aren't in a system of record like Workfront, you have no data to train your AI on. Centralization is the launchpad for every AI initiative.
• Governance as an Accelerator: Innovation often happens in the shadows when teams use unapproved AI tools. Baptist Health solved this by establishing a formal AI Council. 
• Prioritize the Boring ROI: Don’t start with the most complex customer-facing AI use case. Start with the internal bottlenecks. Every manual task you collapse is a direct deposit into your innovation budget.

How To Stop Guessing & Start Building

MOps leaders are uniquely positioned to be the primary architects of organizational transformation because they sit at the intersection of data, technology, and process. But the goal isn't to deploy AI for the sake of saying you did. Rather, you need to build a system where technology and human insight work side-by-side. 

We have codified this approach into a practical guide for MOps leaders who are ready to lead this shift. Download our Strategic Blueprint for AI Readiness in Marketing Operations to learn how to audit your internal operations and build your own New Machine.

If you’re ready to build your AI roadmap, contact the MERGE team for a personalized AI Readiness Assessment. We will help you audit your people, processes, technology, and data to ensure your internal operations are ready for the future of marketing.