AI consulting for marketing teams — Cohort Q2/2026

The 5 AI levers your marketing team is missing — to double output without adding headcount or piling up tools.

How to build an AI-native marketing team in 90 days — one that ships faster, thinks sharper and generates measurably more pipeline, even if your team is still opening ChatGPT tabs to reword emails.

30 min · No pitch · You walk away with the 3 biggest levers either way.

Trusted by marketing teams at scale-ups, DTC brands and B2B SaaS

SaaSE-CommerceB2BDTCHealthFintech

The uncomfortable truth

It's not your team's fault.

Your team has seen more new tools in the last 18 months than in the previous 10 years. Most marketers are experimenting in tabs — not in systems.

  • Briefs take longer, not shorter

    Because AI doesn't know your context — and nobody gives it context in a structured way.

  • 3 people, 7 tools, 0 repeatability

    Everyone has their own workflow. Nobody knows what worked yesterday.

  • Output sounds like LinkedIn slop

    Because nobody treats prompts as an asset and makes the brand voice machine-readable.

  • Nobody measures real impact

    You track who "uses" AI. Not what it actually saves or earns.

  • Leadership asks for use cases — team delivers demos

    Between "that's cool" and "it's running in the stack" lie 6 months of work that nobody does.

The problem isn't the tool. The problem is the operating system around it.

What changes

Three levers. Felt within 30 days.

01

Faster from idea to live

Campaigns production-ready in 2 days instead of 2 weeks — because your team uses AI as a production asset, not a toy.

02

Less generic. More voice.

Prompts, agents and custom models that make your brand voice repeatable — instead of producing mediocre content that sounds like everyone else.

03

Measurably more pipeline

AI workflows wired directly into your performance stack. Attribution, lift, hours saved. No hope metrics.

The system

The AI marketing operating system — the one that turns your team into a compound factor in 90 days.

Five domains. Each usable on its own. Together: a marketing team that thinks faster than the competition can type.

01

Positioning & Voice

We distill your brand into an AI brand book: tone, POV, no-gos, proof points — machine-readable. So every output sounds like you, not GPT.

02

Prompt & Agent Library

The 30 prompts that cover 80 % of your marketing work — versioned, tested, documented. Plus agents for research, briefing, repurposing.

03

Content Engine

A repeatable process: hypothesis → brief → rough draft → human edit → distribution. AI writes 70 %, human edits 30 %. Speed ×4, quality equal or higher.

04

Performance Loop

We wire AI directly into your analytics stack: hypotheses get tested in a structured way, winners get fed back into the prompt system. Compound learning.

05

Team Enablement

No tool trainings. We build playbooks with you — every role (brand, growth, content, lifecycle) knows exactly where AI changes their job and where it stays away.

Tangible, not fluffy

What changes in the first 90 days.

30–50 %

less time per content piece — at the same or higher quality bar.

2–5×

more experiments per quarter — without additional headcount.

1 voice

one consistent brand voice, even with 8 people writing in parallel.

∑ ROI

clear math per workflow — defensible in front of the CFO, not just the team.

Who this works for

This is for you if:

  • You are a marketing lead, CMO or founder — with a team of 3 to 30 people.

  • You already use AI, but nobody can seriously say what it's actually delivering.

  • You want to work on the output — not talk about AI.

  • Measurable results matter more to you than the 500th tool demo.

Not for you if you're looking for the one magic prompt that solves everything. It doesn't exist. What exists: a system that gives your team leverage.

Who you sit across from

Dominic Thimm.

I've spent the last 10+ years at the edge of marketing, data and technology. In the last 24 months I've helped marketing teams in SaaS, e-commerce and B2B set up AI operating systems that doubled output — without a single extra hire.

I don't build hype decks. I build systems your team actually uses on a Tuesday morning.

  • 10+ years marketing, growth & data
  • Consulting for marketing teams across DACH, UK, US
  • Background: Candoro Digital — Berlin
  • Operator mindset. No agency theatre.

How we work together

Three steps. Not more. Not less.

Step 1

Audit & hypotheses

Week 1–2

We dissect your current marketing workflow, tool stack, output quality and goals. Result: 10–15 prioritized AI levers with effort/impact rating.

Step 2

System build

Week 3–8

Together we build the first 3 workflows, the brand voice matrix and the prompt library. By week 5 your team ships measurably faster.

Step 3

Compound & handover

Week 9–12

The system rolls out to more roles. Review, enablement, clear metrics. At the end of the quarter: you own the system, not me.

Next step

Book a free strategy call.

30 minutes. No pitch. We look at your setup, I name the 3 biggest levers — and you decide whether to run with it yourself or with me.

Book your intro call

I take on 4–6 teams per quarter. Currently open: Cohort Q2/2026.

Common questions

Before you book.

How long does the engagement run?
The core program runs 90 days. After that there is an optional light retainer — most teams don't need it, because by then they can drive the system themselves.
We already have ChatGPT Enterprise or Copilot. Isn't that enough?
The tool is the smallest part of the bill. 80 % of the leverage sits in prompts, playbooks, brand voice matrix and workflow design. The tool alone gets you a few percent — the system gets you the multiplier.
What does it cost?
We discuss pricing once it's clear there's a fit. No pitch — the intro call is a clean assessment, not a sales call.
We are only 4 people in marketing. Is it worth it?
Especially then. Small teams with an AI operating system beat bigger teams without one. If you had 4 people 2 years ago and still have 4 people today — this is exactly your leverage point.
We are 40+ in marketing. Does this work?
Yes, with an adjusted rollout. Instead of "everyone at once" we start with 2–3 pilot squads, measure, then roll out. Clean adoption instead of change chaos.
What if AI shifts completely again next year?
That's exactly why we don't build a tool — we build a system. Prompts, workflows and voice matrix are portable. If the underlying model gets swapped — GPT-5, Claude or something new — your operating system survives.