Make AI show up in your revenue, not just your output.

I ran the marketing at a company that went from about $5M to $125M in ARR. No traditional sales team, no outside capital. I’m not going to pretend that was all marketing.

But I know what the constraint was, because I lived inside it for years. It was never that we couldn't write fast enough. More content never grew the business. Better campaigns did.

This spring, Boathouse asked 150 CEOs about their marketing leaders.¹ CMOs were held four times more accountable for AI return than any other executive. And 46% of those same CEOs graded their CMO’s AI capability a C or lower.

Most accountable, least trusted. That’s a grade on a result the marketing leader doesn’t fully control. Whether a campaign works gets decided in what sales hears from customers, what product and the exec team agree the company stands for, and whether anyone has been given the job of pointing AI there. I think both sides of the conversation are reasonable, and I think both are pointed at the wrong cause.

¹ Boathouse Fifth Annual CEO Study, April 2026. US CEOs at companies above $250M in revenue.

What each of you is wondering

You were each hired for the job as it looked a few years ago. Since then a technology arrived that changes how most of marketing’s work gets done, and nobody has been leading that change for long. No one has a bench of CMOs who’ve run three AI transformations. The marketing leader is being asked to redesign the department while running it, and the CEO is being asked to judge progress with no benchmark for what good looks like.

That’s a gap in experience and in hours, and it closes with the right help.

Why it looks like a people problem when it isn’t

The team produces more than it did two years ago. Pipeline looks about the same. Campaigns perform about the way they always did.

From the CEO’s office, that looks like a team that hasn’t figured it out. From inside marketing, it looks like doing everything asked and getting no credit for it. Here’s what’s actually happening, mechanically.

AI took the cost of producing a first draft to roughly zero. So that’s where it got pointed, because drafting is where the demo is. But a campaign’s result was never decided in the draft.

It’s decided earlier: in what you know about why your best customers bought, in whether there’s one clear reason to choose you, and in a brief that says what the campaign has to do, in a number. And it’s decided afterward, in whether anyone learns from the results before the next campaign starts.

Look at who owns those stages. Customer insight sits with sales and customer success, who hear it every day. Positioning needs product and the exec team. The brief needs whoever will judge the result. Most of what decides a campaign happens outside marketing. A head of marketing can ask four other departments to change how they hand work over, and most have. Getting it done takes the CEO in the room too, because the way campaigns get made belongs to the whole company and nobody has ever been given the job of redesigning it.

The team is also further along than the reports show. They’re already using AI, and under-reporting how much, because the question underneath is "what will you do with the time you save," and nobody likes where that goes. That’s FOBO, fear of becoming obsolete. People are being careful about what happens if they show how much they can do.

It still costs you. When six people each have their own private prompt, you end up with six brand voices. By month six the newsletter doesn’t sound like the website, and nobody can point at the day it started.

The sentence that’s costing you the year

The one I hear most often is "we need to get our marketing team using AI."

Usage is already near total. It’s invisible, unmanaged, and pointed at the wrong step. A usage goal on top of that gets you more of the same, faster, with better reporting on it.

Meanwhile buyers are getting more of their answers from AI systems before they reach your site, so marketing is being asked to mass-produce more of the exact thing AI search is making worth less.

The real work is redesigning how your campaigns get made, and putting AI at the stages that decide whether they work: the customer insight, the positioning, the brief, and what you learn from results. That means people working differently, which is why buying tools doesn’t make it happen.

What both of you will be able to see in 90 days

A CEO who is told “trust us, it’s going well” stays worried, and a marketing leader who has to say it gets tired of saying it. So we build the evidence into the work from the first week:

• A map of where AI is pointed in your campaigns today, and where it should be. The CEO and the marketing leader look at the same picture.
• One workflow redesigned and measured, the one closest to revenue, against a baseline we take before we change anything.
• A written voice specification and claim library, so what goes out under the company’s name gets checked before it ships.
• Two to ten AI Champions from the people who do the work, trained to run the next redesign without us.
• One measure, chosen together and reported to the exec team every month. That includes the months it doesn’t move.

The marketing leader runs all of it, and reports progress to the exec team with us alongside.

If you lead marketing

You finish with a redesigned system you can defend with a number, champions who own it, and a backlog of what to do next with your name on it. You’re the person who led this, and the measure shows it.

If you’re the CEO

By month three you’ll have watched your team do the work, against a measure you helped pick. One request: bring us in as backing for your marketing leader. In week five the novelty is gone, the old process still works well enough, and someone has to keep the change going. That’s them, and they’ll do it far more readily if they know you’re behind them.

The method, written out so you could run it yourself

What this needs from leadership: product, sales and legal in scope. The thinking that decides a campaign sits across departments, so the redesign has to reach them.

1. Map where AI is pointed today.

   Not the process document. The real thing: who uses AI, on which stage of a campaign, and what each stage is actually built on. Usually the answer is drafting, and nobody has looked at the rest, because everyone is measured on output instead.

2. Start at the workflow closest to revenue.

   Not the easiest one. The one where a better campaign is worth money you can name. Usually that’s campaign brief to launch, or the pipeline of work that feeds sales directly. Teams almost always want to start with something safe, like social scheduling. Safe workflows produce safe results and nobody defends the budget in quarter two.

3. Set the brand guardrails before you add any volume.

   A written voice specification, a claim library of what you’re allowed to say and what you have evidence for, and a defined review gate that stays human on purpose. Do this first. Volume on top of undefined voice is how brands drift, and drift is expensive to reverse.

4. Redesign the workflow, then put the tool into it.

   In that order. Every failed marketing AI project I have seen did it the other way around.

1. Train the people who will still be there after we leave.

   Two to ten AI Champions, drawn from the people who actually do the work. Not executives. Executives sponsor this. They do not run it. The marketing leader owns the result.

2. Measure the thing your CFO cares about.

   Not hours saved. Hours saved is a number nobody can spend. We agree one measure with you at the start, and it’s the one you already report on. For a marketing department that’s usually pipeline contribution, conversion, or cost per qualified opportunity. You pick it. We take a baseline before we change anything and track it in front of your exec team every month.

3. Keep a backlog so it doesn’t end when we do.

   A live, ranked list of workflows still worth redesigning, owned internally, so the next one starts without us.

One campaign, three ways

Take one campaign from start to finish, because every marketing team runs them and every team’s version leans on the same single step.

A typical pattern, not a client result. Your own version is what we map in week one.

That’s the entire trick. There’s nothing proprietary in it.

The reason most teams don’t do it themselves isn’t that it’s secret. It’s that it needs someone to sit with the department for three months and hold the line in week five, when the novelty is gone, the old process is still sitting there working well enough, and everybody is busy. That’s the part that’s hard, and it’s the part we’re actually selling.

What clients say after

The NoW of Work has been doing organizational transformation since 2016, on the back of twenty years before that. Cedarglen Homes, Discovery Co-op, Heart & Stroke, National Bank, Providence Healthcare, MacKay CEO Forums, Nootka Marine Adventures.

Who this is not for

Where to start

There are two ways in. If you’re not sure which, start with the Clinic. Four hours, and you’ll know whether the three months are worth it.

Pricing shown reflects 2026 rates. Final pricing is confirmed through a formal proposal and may vary based on scope, complexity, and client requirements.