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No retainers. No lock-ins. Sprint by sprint, we earn the renewal.

4-week sprints, fixed scope, fixed price, cancel any time, you own everything. Foundation Sprint from £1,500.

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20 minutes. No pitch. No slide deck.

32 plugins shipped in the last 30 days for clients such as ContentForge

Department, not project.

We run your marketing function, sprint by sprint. Content, ads, attribution, AI search — all in one system, on your infrastructure, not handed off as one-time deliverables.

Run it, or hand it over.

Implementation is the easy part. We run the system day to day — or train your team to. Either way, agents in production, reviewed by humans, output shipping every week.

Compounding capability.

Each sprint stacks on the last — your data, voice, and feedback loops baked into the system. Self-enhancing every week. Compounding every sprint.

Most agencies sell the implementation and walk away. We sell the operation, on your infrastructure, one sprint at a time. Each sprint sharpens the system, ships more, costs the same. Month six is materially more capable than month one. Each sprint earns the next.

Xander Sebastian, Founder

How we build

The system we hand you.

Your data, your stack.

Every client system runs on infrastructure you own — your cloud account, your CRM, your Notion, your database. We get access to build, iterate, and run. We never host your system on ours. Stop buying sprints and we lose access — the system stays with you, on your terms.

§ 05 · How we work together

Build Sprint

One major system shipped per sprint — attribution, content engine, reporting, lifecycle.

~40–50 architect hours across 4 weeks. Hours focused on one system shipped end-to-end — server-side tracking, AI content engine, reporting layer, or lifecycle automation.

£5,000–£8,000 per sprint · no minimum

See what's covered in the Build Sprint

Embed Sprint

Multiple systems running in parallel — the fastest path to a full AI marketing function.

~60–80 architect hours across 4 weeks. Every function running simultaneously — content, paid, attribution, lifecycle — plus a fractional AI lead and quarterly strategic review.

£9,000–£14,000 per sprint · no minimum

See the full scope of the Embed Sprint

Marketing Operations.

Implementation, infrastructure, workflows, economics. The hub for an AI-operated marketing function — what it covers, what it costs, where it breaks, and how we operate it for them on their stack.

Explore AI Marketing Operations

Content Operations.

Production at scale with brand voice as a constraint. Research, draft, edit, publish, distribute — all on one operating layer. Output that compounds without diluting the voice it was built on.

Explore AI Content Strategy

Attribution.

Server-side tracking, multi-touch models, and the analytics infrastructure that survives iOS, GA4, and ad-blocker churn. Real CAC, real LTV, real ROAS — measured per channel, not estimated by a vendor.

Explore Attribution & Analytics

AI Search.

Be visible where buyers ask AI. Citation in ChatGPT, Perplexity, and Claude. Ranking in Google AI Overviews. Plus the SEO discipline that still feeds them all.

Explore LLM Visibility

AI Models.

Multi-model architecture in production. Comparing Claude, ChatGPT, Gemini, and others — and picking the right one for each marketing job. We switch models when the economics or the output quality change.

Explore AI Models
§ 07 · Before you ask

Common questions.

Five things buyers ask before their first sprint.

What does an AI marketing department actually do?
It runs the marketing functions you would otherwise hire for: content production, social, email, paid acquisition, attribution, and AI search. Most of the daily output ships from AI agents in production. Our AI architects direct the agents, review the output, and run a monthly strategy session with you with catch-up calls in between. You see weekly output, not a slide deck of recommendations. Three tier sizes, all hours-based: Steady (£3,000 / 15 hours), Compound (£5,000 / 30 hours), Velocity (£8,000 / 50 hours). All three run on your infrastructure, no minimum commitment, hours spent however your function needs them that month.
How is this different from a fractional CMO or a regular agency?
A fractional CMO is one person with a narrow scope. An agency is a project-based pipeline of human deliverables. We are a marketing function that runs continuously on your infrastructure under our direction — closer to outsourcing the department than hiring a contractor. The cost is lower than a head of marketing (£80–120k plus benefits), the output is wider than a freelancer, and there is no minimum commitment — buy one sprint at a time. The other operational difference: every month, the system gets sharper, because it has another month of context on your business baked into it.
Why monthly sprints, not a one-off project?
Because the value compounds. An AI marketing system with three months of your data, voice, customer transcripts, and feedback loops produces output that is specific to your business in a way no one-off build can. The first sprint sets the foundation. The second tightens it. By the third, the system knows your customers, your tone, and your numbers well enough that the work stops looking generic. A one-off project hands you a finished build and ends there. Sprints suit teams who want the system to keep getting better, sharper, and more specific to them month after month. Each sprint earns the next.
Can I take it in-house — or just stop?
Everything we build sits on your infrastructure from day one — your cloud account, your CRM, your Notion, your stack. We get access to build, iterate, and run it for you. We never host your system on ours, so nothing is held hostage to a contract. Stop buying sprints and we lose access. You keep the published content, the analytics setup, the workflows, the custom agents, the prompts, the evals, and our internal runbooks for them. If you want to take operation in-house, spend a sprint on training instead of building. Your team takes over, and we step back. No notice period. No clawback. We don't keep clients on lock-in clauses. We keep them by being faster and sharper than running it in-house — and when we stop being that, you stop buying. That's the contract — that there is no contract.
Which AI models do you actually use?
Claude, ChatGPT, Gemini, and others depending on the job. Claude for long-form writing and structured reasoning. ChatGPT for fast, cheap, high-volume drafting. Gemini for some retrieval and grounding tasks. Smaller open models for narrow, repeatable jobs where token cost matters. We do not commit to one vendor — we run a multi-model stack and switch when the economics or output quality change. The /ai-models/ pillar on this site documents which model we pick for which marketing job, and why. Sprint pricing covers the model bill; you do not get a separate API invoice.

Pick a sprint.
Start compounding.

Book a Fit Call