Most creative teams today are preparing a seat for AI. It may not be at the head of the table—or anywhere near the weekly brainstorm snacks—but it’s being invited in nonetheless.
That’s where many teams stall. There’s no clear playbook for weaving AI into day-to-day creative operations. Some experiment in isolation. Others hesitate altogether. But here's what’s missed: a potential 10% revenue increase for teams that embrace AI's role in their creative pipeline.
At DolFinContent, we’ve learned from helping enterprise and mid-market clients bring AI into their creative strategies. And with the guidance of Eliott Wahba, our CEO, we’re turning the ambiguous “maybe” into a scalable “absolutely.”
The Stumbling Block: Why Creative Teams Hesitate
Creative teams face understandable hurdles:
- Concerns over job displacement
- Questions about ethical AI use
- Uncertainty over tool reliability or quality output
- Fear of legal missteps related to generative models
- Overwhelm from too many tools, with little direction
Add to that the challenge of integration—tech stacks weren’t built with generative AI in mind—and it’s no surprise that many design departments remain stuck at square one.
A Real Process for Real Adoption
Eliott Wahba offers a structure DolFinContent uses internally and with clients. It helps teams activate AI across their creative workflows without losing creative integrity or culture.
Step 1: Create a Safe Creative Environment
AI adoption starts with trust. Designers need to know AI isn’t here to replace their instincts—just to clear their calendars for bigger thinking.
“The creative traits that define great design—intuition, curiosity, taste—aren’t things AI can replicate. But it can support them.”
— Eliott Wahba, CEO at DolFinContent
Make it clear that AI is the assistant, not the artist.
Step 2: Fuel Curiosity, Don’t Force Adoption
Teams don’t adopt tools because they’re told to. They adopt what inspires them. Share early wins. Show how AI saved 20 hours on a campaign. How it turned a moodboard idea into a visual prototype in minutes.
When AI becomes a shortcut to vision, adoption follows naturally.
Step 3: Encourage Creative Play
Give your team sandbox time. Not every prompt needs to generate polished deliverables. The freedom to explore—with no pressure—leads to the insights that fuel better campaigns.
Designers who explore creatively with AI tend to become its strongest advocates.
Step 4: Celebrate Wins, No Matter How Small
When an experiment leads to a new idea or an improved process, spotlight it. Give visibility to those who find value in AI and let their success stories circulate.
From prompt hacks to visual breakthroughs—highlight the progress.
Step 5: Make AI a Step in the Process
Don’t just recommend AI. Embed it. Whether it's in prototyping, campaign ideation, or brand testing—build tasks that require AI use into the team’s workflow.
Start with lightweight asks. For example:
"Use AI to generate 3 rough visual directions"
or
"Create 3 tagline variations using generative text tools"
This avoids AI becoming a siloed experiment.
Step 6: Simplify the Stack
There are hundreds of AI tools. That’s part of the problem.
“The paralysis is real—especially when teams feel pressure to pick the ‘perfect’ tool.”
— Eliott Wahba, CEO at DolFinContent
Our advice? Don’t overthink it. Start with one or two tools your team can get hands-on with. Keep the goal simple: test, learn, and adjust. Forward motion beats analysis paralysis every time.
Step 7: Add Structure for Long-Term Success
Creative teams thrive in freedom—but AI adoption needs boundaries.
Define:
- What tools are approved
- Where in the workflow AI adds value
- How to evaluate outcomes
This structure encourages responsible experimentation—without compromising quality or trust.
Limitations of AI That Teams Should Know
AI isn't perfect—and creative leaders need to be up front about that.
Bias:
AI models reflect biases in their training data. Designers need to be vigilant about the inclusivity of AI-generated imagery.
Ethics:
Many generative tools don't credit the artists or works that influenced their results. Legal grey areas exist. Consider limiting outputs to owned or royalty-free datasets where possible.
Originality:
AI may produce results like others on the internet. Train your team to build on these foundations—not just accept them as final.
Data Use:
Make informed decisions about which tools to trust with personal, brand, or customer data.
AI Is Not Just a Tool. It’s a Creative Force Multiplier
AI isn’t a creative department replacement—it’s a creative amplifier. With structure, trust, and room to experiment, it can unlock faster iterations, bolder ideas, and a more confident path to scaling design.
“There’s no perfect moment to start adopting AI. But there is a perfect way to start—by making room for your team to learn, try, and shape the future together.”
— Eliott Wahba, CEO at DolFinContent
Ready to Bring AI Into Your Creative Process?
We help global creative teams adopt AI the smart way—without sacrificing their soul, brand, or sanity.
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