AI consulting that starts with a pilot project
Experience with AI workflows, hand-in-hand guidance for beginners, and pilot projects as an entry point — without big-bang risk.
Honestly
AI consulting is a new branch for me — and that's good for you.
I've been working intensively with AI for years: for SEO, for content, for workflows in my own business. I know what works, where the hype is, and where there's real efficiency to gain. But: I've only recently started offering AI consulting as its own service.
What this means for you: fair pricing, real attention, pilot projects before the big rollout. Only once we've jointly proven that a workflow actually delivers value do we scale it up. No big-bang risk, no 50-page strategy decks gathering dust.
If you want to introduce AI seriously — without hype, without tool lock-in, without sitting there afterwards wondering what actually happened — talk to me.
What you take away from our work together
Pragmatic, documented, traceable
-
Clear AI baseline
Where do you stand today? Which processes are ripe for AI? Where does it pay off, where doesn't it? An honest assessment, not a marketing workshop.
-
Pilot projects with clear success metrics
We start with 1 – 2 manageable use cases, define upfront how we'll measure success — and then jointly decide whether to scale.
-
Workflows, not just tools
Tools are the easy part. The art is in workflows: When does AI step in, when the human? How does it integrate into your everyday work?
-
Hands-on guidance for beginners
I take you and your team by the hand: first together, then guided, then independent. Nobody is left alone.
-
Documentation that lasts
Every workflow is documented so a newcomer can work with it. No black box living only in the consultant's head.
-
Privacy & compliance built in
We discuss openly which data may go into which tools — and which should stay in-house. GDPR and common sense.
Pilot model
Start small. Prove it. Then scale.
Instead of pushing you into a big contract, we do it the other way around: we find a clearly scoped use case, run it as a pilot — and you see whether the partnership (and the AI) really delivers.
Pick a use case
Together we look for 1 – 2 processes with clear value: content production, customer email, data extraction, research workflows. Small but representative.
Set up the pilot
Build the workflow, briefly onboard the team, define how we measure success upfront (time saved? quality? consistency?). 4 – 8 week runtime.
Evaluate & decide
Together we look at the numbers — and your subjective experience. If it pays off: we expand. If not: you've learned a lot anyway.
Typical use cases I support
From real client work — not from a whitepaper
-
Content production with depth
AI-supported research, drafting, style guides — with full quality control. Saves time without making content interchangeable.
-
Workflows for email & customer communication
Templates, response assistants, triage. More consistency, less effort — but your team stays in control.
-
Research & competitor analysis
Structured AI research that delivers in hours instead of days. Plus: traceable sources, no hallucination roulette.
-
Make internal knowledge searchable
Your own documents, FAQs, manuals — searchable internally via AI. RAG setups with privacy focus.
-
Automate SEO & content briefings
Briefs that used to take days, in minutes — at higher quality. My own workflow, tested across dozens of projects.
-
Team enablement
Training, prompt libraries, best practices — so not just you but your whole team works confidently with AI.
Why now — and why with me
- of practical AI use in my own SEO & content workflows
- Years
- pilot projects before any big contract — you see value before you invest big
- Test-first
- direct collaboration, no junior consultants, no black box
- 1:1
Frequently asked questions
- Fair question. My background is SEO and online marketing for many years — I've been using AI intensively in my own business for years. What's new isn't the experience, but offering it as its own consulting product. That's exactly why I work with pilot projects: you see the value before you invest big. Nobody is talked into a large contract.
- A clearly scoped use case — e.g. an AI-supported content workflow or an email assistant — with a defined success metric and a typical runtime of 4 – 8 weeks. At the end you have numbers and experience. Then you decide whether we continue.
- It depends on the use case. I'm not tied to any vendor — we use what fits your privacy, budget, and workflow. Often ChatGPT/Claude, sometimes local models, plus automation tools like n8n, Zapier, or custom scripts. We deliberately avoid tool lock-in.
- Almost always yes — when done right. We discuss openly which data may go into cloud tools and which must stay in-house. There are many paths today (GDPR-compliant providers, local models, anonymized pipelines). We pick the one that fits you.
- A pilot is manageable — we discuss scope and effort transparently upfront. If a use case is too big for a pilot, I'll say so. If a use case doesn't promise clear value, I'll say that too. No hidden pricing.
- A no-obligation call (30 – 45 minutes). We see whether you actually have meaningful AI use cases, I give honest assessments. If it fits, we plan a pilot together — if not, I'll tell you so.
You say AI consulting is a new branch — can I trust you?
What is a pilot project specifically?
Which tools do you use?
We have data privacy concerns. Can we use AI at all?
How much does it cost?
What's the first step?
Let's start small — and evaluate honestly.
A 30-minute call is enough to see whether you have meaningful AI use cases. No obligation, no sales pressure.