Three ways in, each scoped to your stage. The spine of all of them is the same: people on judgment, agents on production. Better-aimed people, with a governed system doing the volume.
Most teams bought AI and got noise. Tools everywhere, output nobody trusts, no way to prove it’s working. This closes the gap between “we have the tools” and “we get on-brand, trustworthy, measurable work out of them.”
Adoption was the easy part. Almost no one has operationalized it. We build the marketing engine that is part human and part AI, and we lead with the part most providers skip: the brand voice, the guardrails, the judgment that keeps the work trustworthy at scale.
A focused pilot runs roughly four to six weeks, fixed fee, and leaves your team owning the system. Here is the method.
Map how the work gets done today, break priority workflows into their real steps, and score AI use cases on value versus readiness. Stop the scattershot and pick the few worth doing first.
Prioritized Use-Case CatalogTeach the AI who the brand is before it writes a word in the brand’s name. We codify your voice into constraints a model can follow and build a governed, reusable prompt library. This is the answer to the real fear: off-brand, hallucinated, risky output.
Machine-usable Brand Voice Guide · Prompt Library · GuardrailsTurn a one-off good result into a workflow anyone on the team can run and get the same quality. One documented, end-to-end play per priority use case: inputs, prompts, tools, review gates, quality bar.
Repeatable Plays LibraryProve it in your stack. We stand up one play live in your existing tools, write the SOP, and capture a before-and-after you can feel. Deeper technical builds are scoped with a named build partner.
One live workflow · SOP · Before/after metricsMake it stick without us in the room. We train the team, set the governance cadence, and leave living documentation and a measurement frame running. Adoption is where most AI investments die; this is where they take.
Trained team · Governance cadence · Living playbookPositioning, messaging, and go-to-market, built to move the number. The discipline behind launches at Peloton, One Medical, Pinterest, and tonies, brought to your stage.
The work is making complex ideas land in human language, then building the engine that carries them to market. That means sharp positioning, an ideal-customer profile you can actually act on, and a go-to-market plan with the story and the math both in place.
Typical scope: a positioning and messaging foundation, ICP development, and a go-to-market plan your team can run, with creative direction where it earns its place. Built to be shipped, not to sit in a deck.
Good fit if you are launching, repositioning, or entering a new market and need the strategy and the story to arrive together.
CMO-level thinking without the full-time hire. Embedded leadership and demand-engine builds for growth-stage teams.
For teams that need a senior operator in the room, scoped to where they are. The engagement holds the brand as the unifying story while building the revenue engine beneath it: the team, the motion, and the messaging that delivers.
This is the same work that built Peloton’s first B2B line from zero and restructured One Medical’s enterprise marketing through an IPO. Delivered fractionally, on a cadence that fits your stage and your runway.
Good fit if you need senior marketing leadership now, want a clear-eyed plan for where AI helps instead of adds noise, and are not ready for a full-time CMO.
A 30-minute working session to find the one move worth making first.