Built by a strategist who has actually done the work.
7+ years as a full-stack Digital Marketing Manager inside agencies serving DTC brands. 10+ years training and facilitating teams. Zero tolerance for AI hype — every engagement ends with a rebuilt marketing strategy, a trained team, and a system they can run without me.
The strategist who saw the shift coming.
Seven years as a full-stack Digital Marketing Manager inside agencies serving DTC brands — leading and training teams on marketing strategy, funnels, and systems. Not advising from a distance. Building the strategy, running the training, making sure teams could actually execute.
That work gave me a view most marketers don't get: I was inside multiple DTC brands' operations at once, seeing exactly how they ran, where they broke down, and what it took to build a system that held when it scaled.
Then AI started showing up in marketing. And I watched most teams do what most teams do — treat it like a novelty. Experiment with it. Move on. Decide it wasn't going to be a big deal.
I saw something different. I saw a shift that wasn't slowing down — so I made a move before most people thought one was necessary.
I shifted my focus entirely to AI marketing consulting and systems strategy. Agentic AI isn't a trend to monitor from the sidelines — it's the operating environment your team is working inside right now, whether they know how to use it or not. The founders who build a real system around it now, not later, are the ones who compound that advantage.
That's what DLaurie AI is built to help you do.
Certified. Not self-declared.
DLaurie AI gave us a marketing strategy that helped us to become visible in AI searches, increase sales and gain new customers plus become an AI native brand, thereby outpacing our competitors.
The gap isn't model quality. It's integration.
Source · McKinsey State of AI, 2025
DLaurie AI doesn't build dependencies.
Every client leaves with a rebuilt marketing strategy, the systems to execute it, and a team that can operate both independently — long after the engagement ends.
DTC-specialized, not generalist
I know the workflows — Klaviyo flows, content production, ad creative, product descriptions, Shopify ops — where AI creates the most leverage for growing DTC brands.
Strategy-led, tool-agnostic
I don't sell a platform — I build the system. The strategy drives the tooling, not the other way around. The right AI for your operation is the one that moves your business forward.
Receipts, not potential
I show up with systems that work — not slide decks about potential. Every engagement is scoped around real workflows, real timelines, results inside 30 days.
Operator register, not consultant voice
I write and think like an operator because I've been one. Short sentences. Specific numbers. Before/after results. Real timelines. No corporate jargon.
Adoption by design
Most AI training fails not because the content is bad, but because it's delivered as slides with no connection to real work. Every session is built around your brand's actual marketing tasks — built live, on real work.
Independence at handoff
Every engagement ends with a working system, a trained team, and metrics you can point to. You're not creating a vendor dependency — you're eliminating them.
Start with a 30-minute discovery call.
No pitch deck. No hard sell. Just a direct conversation about where your DTC brand is with AI — and where it could be in 30, 60, or 90 days.