I'm seeing a trend among my clients and across martech generally: AI governance is falling apart when it comes to creative output. Marketing and creative leaders need to draw a line now. This strong warning is because I've been watching the fallout up close in real time. Letting everyone in an organization make content sounds like an amazing innovation, but for brand teams it's turning into a disaster.

Today, anyone can log into a generative tool, type a prompt, and produce an image or blog post they figure is close enough to on-brand. (Or, in many cases, brand isn’t even a consideration.) Then it goes into a client deck or straight onto social media. The problem is that a non-creative's idea of "on-brand" usually means the colors look about right and the tone sounds polite. That's not compliance, it's dilution, and it erodes the brand voice and trust your company spent years building.

With the new The Odyssey movie out, I can’t help but think about one of the most famous parts of the book where Odysseus faces the Sirens. Their song was intriguing, captivating and made everyone want to rush headlong toward it. In a way, he faced history’s earliest recorded AI governance dilemma: how to tap into an irresistible, hyper-efficient new power without steering the entire ship onto the rocks. (Ok, not truly AI, but you get the idea.)

So what was the solution? He didn't ban the song entirely, nor did he hand the steering wheel to whoever felt like taking a turn. He plugged his crew’s ears with wax and had himself bound firmly to the main mast, harnessing the value of the experience while installing strict, structural guardrails to prevent a catastrophe. The guardrails made all the difference in the outcome.

Who owns what

Owning creative AI governance doesn't mean marketing rewrites IT security policy or overrides company rules on data privacy, copyright and procurement. Legal and IT still set the foundational rules about data handling, employee privacy, and IP.

But once a tool clears security and legal review, deciding how it's used to create brand assets is marketing's call, not IT's. The mistake teams make is assuming "cleared by IT" means "approved to publish." Marketing has to claim that authority explicitly and say how, when and where these tools touch brand work.

Internal vs. external

Typically, one blanket policy won't work, because internal needs and public campaigns aren't the same problem. Many times it’s best to split it in two.

Internal creation. Sales, HR, and product teams all need to move fast on decks, updates, and pitch support. Ban AI here and you just drive people to unapproved shadow tools. The better solution? Give them guardrails: enterprise-hosted custom LLMs or AI tools loaded with brand guidelines. This means approved vocabulary and locked prompts like pre-vetted image prompts and locked templates. Make it easy for users, but keep it inside a sandbox that stops rogue styles from spreading.

External creation. Anything a customer or partner sees is a different standard. For campaigns, social, ads and web copy, AI can't run on autopilot. It's an assistant, not the author, and human review isn't optional. Nothing publishes to an external channel without creative sign-off, and nobody outside the brand team gets that authority.

Making it work: What, when and how

Fifty-page PDF guidelines won't stop someone from generating an off-brand, AI-slopified photo for an ad. The controls have to live in the tools themselves whenever possible.

What. Consolidate on a few enterprise-grade platforms instead of letting teams buy scattered point solutions. Train custom models, look into LoRA (Low-Rank Adaptation) training models, or brand-specific text generators that match your actual visual and verbal identity. Route creation through platforms tied to your DAM so outputs draw from approved source material.

When. AI is good at fast ideation, mood boards, copy variations, localization, and resizing existing assets across formats, so encourage teams to use it there, and ONLY there. Keep brand strategy, hero creative, high-stakes narrative, and identity work human-led. Don't hand your highest-impact moments over to sterile, generic and obvious output.

How. Don't play brand police after the fact. Build checks into the pipeline that flag off-brand colors, banned jargon or tone problems before anything reaches human review. Pro tip: standardize prompts so approved tools return compliant work by default.

The point

Democratization of creative is already here. Fighting it with pure friction loses, and nobody wants beeswax stuffed in their ears when they’ve just been handed an incredible new power. But letting everyone steer blindly down into the music guarantees a shipwreck, smashing the trust your brand took years to build.

Safeguard your brand with intentionally-established guardrails. Recognize that the fix isn't treating this as an IT or legal bottleneck but as a creative discipline. Separate internal sandboxes from external production, deploy models trained on your own brand and tie your workflow securely to the mast. The AI Siren song is only going to get faster, louder and more seductive as we go. Never forget that keeping the ship on course will always remain a human job.