Marketing AI Transformation · Single department · 3 months
Make marketing the team that leads your company on AI.
Marketing got the AI tools before anyone else, so your team has had the longest run at them and the least direction. Three months inside the department changes that, on live campaigns. What you get back is a team that makes each campaign better than the last, without the brand drifting or the work losing its aim at revenue.
Why marketing goes first
Marketing has had the longest run at this of any department in the company.
The work is words and pictures, so marketing got the tools before anyone else and has been using them for three years. That makes it the department with the most evidence about what AI actually changed, and the one where the honest answer is usually “we produce more, and I’m not sure it’s better.”
Which is useful, because the reason is legible here in a way it isn’t elsewhere. Drafting was never what decided a campaign. The customer insight sits with sales, the positioning needs product and the exec team, and the brief needs whoever will judge the result. A tool that writes in forty seconds does nothing to any of that.
Marketing is where the AI pressure landed first. It’s also where you can see most clearly what the pressure did and didn’t fix.
Want the longer argument? Read Ashleah’s field note on why the tools haven’t moved the number.

The behaviour we change
Each campaign gets better than the last, and the brand holds while it does.
The voice holds when six different people are drafting, because the people doing the work wrote the guardrails themselves. AI goes to the thinking behind each campaign, not just the drafting. And when the exec team asks what AI did for the number, your people can answer with the campaign rather than the tool count.
- The briefBuilt on what customers actually say
- The voiceHolds when six people are drafting
- The numberWhat the work is actually aimed at
What that actually takes
Most AI use in marketing is enhancement. The three above need redesign.
Enhancement puts AI on the drafting and leaves the rest alone: a quicker machine in the same corner of the same factory. Redesign is the work changing shape. On each of the three, the gap between them is the whole difference between more output and a better number.
- The briefEnhancementThe draft arrives in forty seconds.RedesignThe brief starts from what customers said and what the last campaign taught, before anyone drafts.
- BrandEnhancementEach writer’s output is a little more polished.RedesignThe voice holds across everyone drafting, because it’s written down.
- RevenueEnhancementMore assets, against the same pipeline.RedesignYou can name which campaign moved the number, and why.
Your campaigns are the training material.
We work through the department’s real workflows one at a time, starting with the ones closest to revenue. Nothing runs in a sandbox, because a sandbox only teaches your team how the sandbox works. What’s left is an AI backlog your people keep adding to, and the AI Champions who own it.

- 01 Campaign brief to first draftredesigned
- 02 Competitor & market scanin pilot
- 03 Post-campaign reportingnext up


Marketing is where the AI pressure lands first. Show what AI did for the number, with the same team and the same brand standard to hold. The common answer is more tools, which is how you end up with volume going up and quality going sideways. So we work on your own campaigns instead. Over three months we map what the team actually does, redesign the handful of workflows closest to revenue, and write the guardrails that hold the voice when six different people are drafting. Some of your team finish as AI Champions and keep it running after we go.
- Audit of how the team actually works
- Brand voice & data guardrails
- Tooling set up in your stack
- Training for writers, demand gen and ops
- A live AI backlog for the department
- Pilots on live campaigns
- AI Champions inside marketing
- Monthly reporting to the exec team
- A revenue measure you already report on
The measure is yours to define. Pipeline contribution, conversion rate, cost per acquisition, revenue from campaigns. We agree it before we start, and it’s the one you already report on. We take a baseline before we change anything, and report against it every month, including the months it doesn’t move.
How the three months actually run
Three months in, the department has assets that carry every campaign after.
The order matters more than the tooling. Redesign the workflow, then put the tool into it. The marketing AI projects that fail almost always run that sequence backwards.
The assets built once
A voice specification, a claim library of what you can say and where the evidence sits, and your past campaigns with their results, so every brief starts from what worked. Built once, then carrying every campaign after.
The workflow closest to revenue
Usually the campaign brief, because what goes into it decides how the campaign performs. Teams want to start with social scheduling, and safe workflows produce safe results.
The people who stay
Two to ten AI Champions drawn from the people actually doing the work, plus a ranked backlog they own, so the next redesign starts without us.
Who leads it. Your marketing leader runs the engagement and reports progress to the exec team, with us alongside. Over three months they build the capability, the system and the results that show it.
The shifts, inside marketing
- Output up, campaigns no betterEach campaign better than the last
- Brand voice drifts by authorThe voice holds, whoever drafts it
- AI pointed at the easy workAI pointed at what moves revenue
- Volume as the only proofA revenue measure you already report on
- Prompts kept in private tabsOne shared, sanctioned way of working
- Capability leaves when people doChampions who teach the next hire

What you leave with
- A team that has worked this way for three months
- AI working on the insight and the brief, not just the draft
- Guardrails that hold your brand voice as volume goes up
- AI Champions inside marketing who keep it moving after we leave
- A live AI backlog the team keeps adding to
- A revenue measure you chose, tracked from a baseline, reported honestly
Best fit
CMOs and VPs of Marketing carrying a revenue number with a team already at capacity. Also CEOs with marketing reporting to them directly. It works best where leadership will let the work itself change. The waiting in a marketing workflow mostly sits between departments, so product, sales and legal need to be in scope for the parts that touch them.
Investment
One department, start to finish. The entry point into Human-Centered AI Transformation.
This is the single-department option of our Human-Centered AI Transformation program, scoped to marketing. When it works and you want the rest of the company, the multi-team engagement picks up where this leaves off.
Our commitment: measurable impact within 90 days. Steady momentum every month after.
Pricing shown reflects 2026 rates. Final pricing is confirmed through a formal proposal and may vary based on scope, complexity, and client requirements.
Updated
Where this fits
Start where you are.
Start hereFind where AI pays
AI Transformation Readiness Assessment Free. See where the company stands.AI Boardroom Clinic Four hours with your leadership team, leaving with three workable use-cases.01Prove it in a day
1-Day AI Sprint A team builds working prototypes on its own problems.02Make it how one department works
Departmental AI Transformation Three months inside one department, on its own workflows.You are hereMarketing AI TransformationBuilt around your campaigns.HR AI Transformation For the team writing the AI policy.03Make it how the company works
Company-wide AI Transformation Every team, with AI Champions in each one.
Let’s have the conversation.
Book a call, and we’ll show you exactly where Marketing AI Transformation fits your business.
Not ready for a call? Tell us about your last campaign, and we’ll show you where AI could have changed it.
