Deploying AI agents into workflows has become a baseline expectation for marketing agencies. However, the question of who governs these workflows is increasingly complex and ambiguous. At a recent town hall session during Digiday’s Programmatic Marketing Summit, agency executives expressed concerns that without clear standards and guidelines, AI agents could act unpredictably, particularly in the sensitive area of media buying.
Agency leaders argue that while their internal systems are evolving, there is an urgent need for industry-wide protocols to ensure responsible use of AI tools. Many executives are currently facing their own challenges as they work to establish best practices while piloting OpenAI’s advertising solutions. One executive pointed out the difficulties in managing AI-generated content, citing instances of “copy and pasted AI summaries” in client presentations as examples of undesirable practices that undermine their core objectives.
The sentiment among executives indicates a growing awareness of the risks associated with over-reliance on generative AI. One brand marketing executive noted the superficial insights produced by internal teams using large language models, remarking that they are “completely missing the whole purpose of what we do at this point.” This underscores a disconnect between the potential of AI technologies and the actual results they deliver.
As marketing teams experiment with AI tools, the absence of cohesive governance structures creates a fragmented environment. "What I’m seeing right now is agencies, advertisers and partners now all creating their own agentic workflows, and there’s no governing those different schools of thought," said one agency executive, highlighting the urgent need for alignment.
This fragmentation occurs against a backdrop of increasing financial commitment to AI initiatives. Research from Gartner reveals that CMOs are allocating an average of 15.3% of their marketing budgets to AI this year, with 70% of CMOs expressing a desire to lead in AI innovation. However, only 30% report having the capabilities necessary to achieve this ambition.
As marketing budgets expand, agencies face the challenge of defining how AI tools should be employed, vetted, and integrated into their workflows. The rapid pace of technological advancement often outstrips marketing professionals' ability to adapt, leading to wasted resources on disjointed AI experiments. One agency executive candidly shared their experience leading an OpenAI pilot, stating, "Why was I in charge of the OpenAI pilot? We didn’t know if it was search or programmatic or social." This comment highlights the confusion surrounding the implementation and strategic direction of AI in marketing.
The call for clear guidelines and effective governance over AI tools reflects a broader shift in the industry, as stakeholders seek to balance innovation with responsibility. Executives recognize that setting a positive tone and incentivizing best practices among teams will be vital in fostering a culture that embraces AI without falling into pitfalls.
As marketing agencies continue to navigate this evolving landscape, the conversation around AI governance is likely to intensify. Establishing shared standards and practices will enhance the efficiency of AI integration and protect the integrity of marketing initiatives in an increasingly automated world. The future of AI in marketing depends on a collective effort to define ownership, establish accountability, and ensure that the technology serves its intended purpose.
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