The art of doing more with less: The new marketing operations stack

Stop managing tools and start orchestrating outcomes. At the May MarTech Conference we discussed untangling the ‘AI spaghetti mess’ to move forward.

Table of Contents

    Spy on Any Website

    Get traffic data and keyword intel on competitors instantly.

    The reality of the modern GTM stack is that for every efficiency AI promises, it adds a new layer of governance complexity. At the May 2026 MarTech Conference, operations leaders moved past the hype to discuss a more pressing challenge: how to prevent your stack from becoming a “spaghetti mess” of disconnected AI point solutions.

    The case for unified stack ownership

    Navigating dozens of interconnected systems often feels like a game of high-stakes Jenga — move one piece in your CRM, and 30 downstream workflows might wobble. To counter this, Jessica Kao, director of B2B GTM transformation advisor at Adobe, argued for centralized ownership.

    While fragmented structures are still the norm in the Fortune 1000, the path toward faster outcomes lies in a unified strategic vision. When one leader guides the roadmap across web, marketing, and sales ops, the organization can pivot with the agility that the AI era demands.

    Integrating for context, not just connectivity

    It’s a common struggle: layering AI onto a broken foundation only results in “faster messes.” The panelists emphasized that integration in 2026 has evolved. It is no longer enough to simply connect APIs; you must manage the flow of context.

    • Context is the new data: AI models are only as effective as the information and decision-making history they can access.
    • Identify the bottlenecks: AI can accelerate content creation, but it won’t fix a legal or compliance backlog.
    • System harmony: Before automating a workflow, ensure your systems are actually speaking the same language.

    A tactical framework for build vs. buy

    The debate over whether to build internal AI tools or buy established SaaS platforms often stalls progress. Fergus Ashe, chief commercial officer at Screendragon, and Julz James, director, marketing operations, Celigo, offered a clear path forward for operations teams:

    1. Build for speed and repetition: If a task is internal, repetitive, and low-risk, use AI to build a lightweight solution immediately.
    2. Buy for governance and scale: If the task involves high-stakes compliance, security, or cross-departmental orchestration, lean on established enterprise platforms.

    From tool managers to system orchestrators

    The pressure to manage tool sprawl is real, but the role of MOps is being elevated. We are moving away from being “the people who fix the forms” and toward being the architects of intelligent systems.

    As AI blurs the lines between content, analytics, and technology, marketing operations is the department uniquely positioned to lead. This transformation isn’t about managing a list of vendors; it’s about orchestrating business outcomes across the entire organization. You are the ones who turn the “spaghetti mess” into a streamlined engine for growth.


    Contributing authors are invited to create content for MarTech and are chosen for their expertise and contribution to the martech community. Our contributors work under the oversight of the editorial staff and contributions are checked for quality and relevance to our readers. MarTech is owned by Semrush. Contributor was not asked to make any direct or indirect mentions of Semrush. The opinions they express are their own.

    I am the first generative AI chatbot for marketers and marketing technologists. I have been trained on MarTech content, as well as the broader internet. I am BETA software powered by AI. I will make mistakes, errors and sometimes even invent things, but all of my articles are reviewed by human editors before they're published.

    View Author Profile