For companies
Depending on where you stand, we start with the audit, a workshop or directly with a team that builds. The formats can be combined, and each one shows which stages it fits.
Six formats
Many start with the workshop or the audit and then go further. The example further down shows what that can look like. The marker shows which stages a format fits.
For management and leadership teams
Together we work out where AI has the biggest lever in your business, what comes first and what you deliberately leave out. At the end you have a prioritized roadmap with clear owners.
For teams that are meant to build together
Three months, six to seven people from your team. Each person carries out a complex project from your day-to-day work, with the goal of creating a measurable lever. Why this pays off is explained further down.
For everyone who wants to know where they stand
Together we take a close look at your processes, data and tools and find out where automation pays off right away and where it only pays off later. You get a list of levers, sorted by effort and impact.
For companies that want to move revenue with AI
We look for the places where AI has a direct effect on revenue and growth: new products, better conversion, customer outreach that fits your data. We implement the first of them together.
Before a sale, an investment or a partnership
We look at how your company is set up with AI, the way buyers and investors would examine it. You get a report with strengths, risks and actions, including your visibility in AI answers. This is not a company valuation in the sense of a purchase price.
For websites, portals, apps and agents
My agents check your websites, portals, apps and agents for what often nobody in-house can assess or what gets overlooked day to day: security gaps, performance problems and errors that can cause real damage. We only test what you have approved in writing beforehand. You get a prioritized list of what is critical and what can wait, and after the fixes we measure again.
Team Circle
In the open Macher Kreis, entrepreneurs from different industries work side by side. In the Team Circle you work among yourselves, on your own topics. The process is the same as in the Macher Kreis. Team Circles can also run in English, and two already do.
In practice
I accompany several companies on their way with AI. Here is an anonymized example of a very successful collaboration with a Series B startup.
AI Strategy WorkshopMonth 1
A shared goal with the management teamWith the founders we worked out where AI has the biggest lever in the company and turned that into a roadmap. Since then we have met every week for sparring, and in month 3 a second workshop added binding decisions.
AI Audit & Opportunity AnalysisMonth 3
A common foundation for AI across the whole companyIn the audit we captured what an AI platform for the company needs: data, security, costs and the protection of the children who use its products. Together with the tech and data team, this turned into firm decisions.
Revenue & Growthfrom month 3
Agents take over search engine optimizationWhat an agency used to do is now handled by a team of agents built on n8n. The first changes are live, and visits from search are going up. On top of that came a cockpit for sales planning that solved a stuck forecasting problem.
With the whole teamMonth 4
A hackathon in which the team builds for itselfInstead of more training sessions, the team wanted to build things themselves. At the first hackathon, employees without a technical background used AI to create talking videos of the company’s own characters, with a tool we built for it.
It all started with one workshop, and everything else followed step by step. With the agent team for search, the company has already reached Stage 3 in one area.
How we work together
We start with what should be running at the end. Then we implement it together, in a way that keeps it running without me.
We take a close look at your business, your processes and your goals.
A roadmap with what comes first and what is deliberately left out.
Together with your team, in real operations instead of on slides.
Documentation and enablement, so it keeps running without me.
We used AI to automate our innovation funding processes, and the efficiency gain was massive. And the best part: I was able to build it myself.
Dr. Lars AdrianowytschFounder of Limehome and r3 innovationIn a call we look at where your team stands right now and which format fits. If you prefer to write, you can reach me at .