Our AI policy in one sentence: humans still own creative judgment
Our competitive edge was never the tools. It’s creative judgment, taste and client relationships built over years. AI doesn’t change that. If anything, it raises the price of admission on all three. That’s not a defensive position. It’s the actual plan.
What we believe, plainly
The more time we spend working with AI, a few truths consistently rise to the surface: Strategy, creative expertise, judgment and client context matter more with AI in the picture, not less. When execution gets easier, the thing that separates good work from forgettable work is the thinking behind it. Thinking still has to come from people who understand a client’s business and possess the creative expertise — in brand strategy, storytelling and design — to transform ideas into meaningful, effective work.
Systems and reusable knowledge are becoming real competitive assets. The agencies figuring out how to capture what they’ve learned and reuse it well will move faster than the ones treating every project as a blank page.
Clients will keep expecting AI-enabled speed and stronger thinking at the same time, not one traded for the other. That combination is the actual bar now, not a stretch goal.
And the agencies that hold up over time will be the ones that pair technology with governance, trust and something genuinely their own, not the ones with the most tools in their stack.
What AI is actually good at, and where it isn’t
We’ve found AI is genuinely useful for a specific set of tasks: conducting initial research, organizing information, summarizing, brainstorming, writing first drafts and asking sharper questions earlier in a process than we used to.
We’ve also found where it falls short. It hallucinates. It makes confident mistakes. It misreads context it doesn’t have. It works from outdated information without flagging that it’s outdated. And left alone, it defaults to generic output, the exact thing clients tell us they don’t want from an agency.
AI alone can’t produce the work our clients need. We still apply judgment, verify facts, understand the client’s actual situation and make the calls that matter. Client relationships and the nuances behind them stay human. Strategic recommendations stay human. Decisions on scope, budget and timeline stay human. Legal, compliance and accessibility approvals stay human. Reviewing anything before it reaches a client stays human.
AI can create speed. It can’t apply the experienced creative judgment that makes speed useful.
Why governance isn’t just a compliance exercise
82% of clients say they trust an agency more when its AI use is transparent. 89% expect an agency to own the outcome of AI-assisted work, even when the client’s own team used the tool. As adoption accelerates, how can agencies responsibly move forward when clients have not yet established third-party AI usage policies? We proactively develop a governance framework: the system of policies, processes and controls that we use to ensure AI is used and monitored responsibly.
Ours sits on five pillars:
- Transparency in how decisions get made
- Clear accountability for outcomes
- Protection of sensitive client data
- Fairness across how AI gets applied
- Active management of the risks that come with any new capability
None of that is about slowing down. It’s about making sure speed doesn’t come at the cost of the thing clients are paying for.
What this looks like in practice
The conversation isn’t about whether we use AI. It’s about how we use it. We’re being specific, with our own team and with clients, about exactly where AI supports the work, exactly where a person is making the call and the safeguards in place to ensure client information remains secure. That transparency is the actual differentiator, not the tool itself.
Creative minds. Strategic design. The arrival of AI hasn’t changed this truth. It’s only reinforced the importance of incorporating new technologies responsibly and prioritizing thoughtful integration over rapid adoption. Trust, relationships and human judgment are still at the core.
This is the second in our series on where AI actually stands. Next up: what this looks like from the inside, starting with how our copy team rebuilt its process around AI, one habit at a time.
This article was originally published on LinkedIn on August 24, 2026.
