When creating AI governance, differentiate based on risk. High-risk actions, like uploading sensitive company data into a public model, require rigid, enforceable "policies." Lower-risk, judgment-based areas, like when to disclose AI use in an email, are better suited for flexible "guidelines" that allow for autonomy.

Since AI is now ubiquitous in marketing, the critical question is no longer *if* an agency uses it, but *how*. A strong partner can articulate how they integrate AI to improve operations while ensuring the final output is strategic, on-brand, authentic, and human-led.

As AI exponentially increases content output, the risk of "brand drift"—where assets become inconsistent—grows. The solution is to embed brand guidelines, governance, and compliance rules directly into the AI creation tools, ensuring every asset remains faithful to the brand identity.

In an era of rapid AI-generated content, maintaining brand integrity is paramount. Adobe addresses this by building features into its creative tools that enforce brand standards and guidelines, ensuring that speed and automation don't come at the cost of brand consistency.

Organizations must urgently develop policies for AI agents, which take action on a user's behalf. This is not a future problem. Agents are already being integrated into common business tools like ChatGPT, Microsoft Copilot, and Salesforce, creating new risks that existing generative AI policies do not cover.

As AI tools become more accessible, the primary risk for established brands is a loss of control. Ensuring AI-generated content adheres to strict brand guidelines and complex regulatory requirements across different regions is a massive governance challenge that will define the next year of enterprise AI adoption.

As influencers adopt AI tools, brands must update their contracts to mitigate risk. This includes adding clauses that prohibit undisclosed AI-generated content in brand promotions, require pre-approval, and verify all claims to prevent partnerships from undermining brand authenticity and trust.

To manage risks from 'shadow IT' or third-party AI tools, product managers must influence the procurement process. Embed accountability by contractually requiring vendors to answer specific questions about training data, success metrics, update cadence, and decommissioning plans.

As AI becomes indistinguishable from reality, audience skepticism will rise. Brands can build trust by establishing and transparently communicating a public stance on where they draw the line with AI tools, such as never cloning their voice or face.