You bought AI. Nothing much changed?
PromptPartner deploys AI in your company. We take the work nobody should do off your team’s desk, and we teach your people to use what we build.
30 minutes with Lukas. You leave with at least one recommendation you can use, whether or not we ever work together.
Your rollout partner for 
AI that does the work
“Look at your profit and loss. There is a line for AI. It’s a cost. But there is no line for what AI produced.”Lukas, in the film
Companies we’ve built, scaled, or advised
Proof
Three of our recent examples. Anonymised where a client has not cleared naming.
€2.07M–€3.0M
value created a year, floor to all-in
We shipped five working tools into the systems the team already used. One of them turns a week of collateral work into minutes.
11 discovery sessions · 36 opportunities scored
30+
deliverables, all built and running
We rebuilt its go-to-market AI-first: strategy, marketing, partner programme, sales and operations.
Weekly
senior-buyer meetings booked, running in production
AI outbound to hard-to-reach senior buyers, with 75+ data points per prospect, EU-hosted.
Our engineers have also built data and AI systems in manufacturing, energy, transport, finance, healthcare, the public sector, real estate and security.
Why PromptPartner
Superpowers, not replacements
Your people keep the work only people can do. Research before every call, the Monday report, the copy and paste: we hand that to AI.
Training on real work
Every week while we build, your team brings real work to office hours and leaves with a better way to do it.
Value you can check
The four-week audit puts a number on each use case, with the maths visible. You decide with numbers, not with hope.
How the audit works→Safe from day one
They are right to worry. So they decide at the start, and everything we build follows those rules. Your data stays where it is.
We build, not only advise
Not slides. An engineer builds the AI inside the tools your team already uses, the CRM, email, your documents, and it goes live.
What we build→Claude or Codex skill
A skill is a recipe for work that comes back every week. It collects what it needs from your tools, prepares the work, and stops for your colleague to check it. Click through three examples.
How it works
Four weeks · the audit
We sit with your team, find the work AI should take over, and put a euro figure on each use case. You get a working prototype on your real systems.
You can stop here.Then · you choose
Our ready-made programme: Claude or ChatGPT Enterprise for one department, with use cases and training. Or a custom AI project, also on local AI.
Ongoing · your team runs it
Your team runs it. We keep it running and add the next use cases, team by team.
Our method · Audit · Secure · Launch · Scale · Own
The audit has a fixed price, set by the size of your company and by whether it covers one department or several.
The honest comparison
Most companies try one of these first. Each has its strengths.
| Question | Waiting | A strategy consultancy | Doing it yourself | PromptPartner |
|---|---|---|---|---|
| Does something go live? | Waiting: No | A strategy consultancy: Often slides, not running tools | Doing it yourself: Sometimes, when your power users find the time | PromptPartner: Yes, in your systems |
| Who trains your people? | Waiting: Nobody | A strategy consultancy: A workshop | Doing it yourself: Your power users, on top of their job | PromptPartner: We do, every week while we build |
| Are IT and legal on board? | Waiting: People paste data into any tool | A strategy consultancy: A policy paper | Doing it yourself: It depends | PromptPartner: They set the rules on day one |
| Do you know the value first? | Waiting: No | A strategy consultancy: A business case | Doing it yourself: Rarely | PromptPartner: A euro figure per use case |
| Who keeps control? | Waiting: Nobody decides | A strategy consultancy: The consultancy, until it leaves | Doing it yourself: You do | PromptPartner: You do: it is built in your systems |
Change begins with your people
Some people are curious. Others are unsure where to begin. We give them a place to ask questions and to try AI on their real work.
We start with the work people know: what AI can do, where it needs checking, and how people stay in control.
We take one task that comes back every week and work through it together. A small win people can feel starts the next conversation.
Shared learning, useful experiments, mistakes talked about openly. Your teams help shape their new routines.
Who you work with
A forward-deployed engineer builds the AI inside your tools. A business engineer trains your people while we build.
“The value was never in the tool. It was in how the work ran.”
I spent twenty years building and selling automation software: first for web hosting, then for the cloud, then platforms sold through partners around the world, from €600K to €240M ARR. I had consultancies deliver 750 slides. We used nothing. So we build instead.
I take the first call myself.
Your core team
Extended team for larger or custom projects
Questions
We deploy AI in mid-sized and larger companies. We start with a four-week audit that finds the use cases that pay off, puts a euro figure on each one and builds one of them as a working prototype. Then the use cases go live, team by team, and your people learn to use them.
The four-week audit has a fixed price, set by the size of your company and by whether the audit covers one department or several. It is never billed by the hour. What comes after is a separate decision, made once you have the audit's numbers.
Legal, IT and your brand team set the rules once. Your data stays where it is. Agents start with read-only access, and you control what they can reach.
We lead with Claude Enterprise and ChatGPT Enterprise, with the rules set once. You keep the licence contracts. We advise.
What the 30-minute call gives you:
No pitch, no preparation needed. I look forward to it. Lukas