Most businesses are being sold AI strategies by consultants who learned about it last quarter. We've been building with AI tools, including Claude Code, across live marketing operations for real clients. We'll teach you to do the same.
No theory decks. No 'AI readiness assessments' that gather dust. We embed with your team and build real workflows you'll still be using six months after we leave.
Custom automation workflows using AI tools your team can maintain, extend, and actually understand.
Teach your team to use AI for drafting, editing, and repurposing content without sacrificing your brand voice.
Turn raw data into decisions faster using AI-assisted analysis that your team controls, not a black box dashboard.
We build genuine AI capability inside your business. Not a presentation about what's possible. The actual skills to do it.
The goal is the same as everything we do: you graduate. You'll understand AI well enough to make your own decisions about where to use it and, just as importantly, where not to.
Every number here is earned. No inflated metrics, no vanity stats.
Real businesses. Real AI integration. Measurable improvements in speed, quality, and team confidence. No hypotheticals.
The typical approach to AI adoption goes like this: a consultancy runs a two-day workshop, hands over a slide deck full of 'use cases,' and leaves. Your team nods politely, goes back to their desks, and nothing changes. The problem isn't motivation. It's that nobody taught them how to actually do the work. We take the opposite approach. We embed with your team for months, build AI workflows alongside them using tools like Claude Code, and make sure every process is something they can run, modify, and improve without us.
A capable team doesn't just 'use AI.' They know when to use it and when not to. They can write prompts that produce consistent output. They can build simple automations that save hours every week. They can evaluate new AI tools critically instead of chasing every product launch. That's what we build.
By the end of an engagement, your team will have working AI workflows for content production, data analysis, and campaign management. They'll have a prompt library specific to your brand. And they'll have the judgement to know when AI is the right tool and when it's a distraction. That's the difference between a team that 'does AI' and a team that's actually good at it.
AI is new territory for most teams. These are the questions we hear most often from founders and marketing leaders considering an engagement.
No. We tailor the programme to your team's current skill level. Some of our clients have developers on staff; others don't. The workflows we build are designed to be maintained by marketers, not engineers. If something requires code, we use tools like Claude Code that make it accessible to non-technical users.
We're tool-agnostic but opinionated. Right now we work heavily with Claude (including Claude Code for agentic development), plus a range of automation and analytics tools depending on the client's stack. We don't push a single platform. We teach your team to evaluate and choose the right tool for each job.
Most AI consultancies deliver a strategy document and a proof of concept, then leave. We deliver working capability. Your team finishes the engagement able to build, run, and improve AI workflows on their own. We teach by doing, not by presenting.
That's not what this is about, and anyone telling you otherwise is selling fear. AI makes your existing team faster, more consistent, and more capable. The businesses that win will be the ones that augment their people, not the ones that try to replace them with chatbots.
The typical engagement runs six months, though some clients move faster. The timeline depends on your team's starting point, the complexity of your marketing operation, and how many channels we're covering. We'll scope it honestly during the discovery call.
