We surface real use cases, deliver proven blueprints and workflows, and enable your teams to anchor them in day-to-day work – for measurable results with a clear ROI.
The trainers' high level of flexibility is particularly noteworthy, as it made it much easier to get started with the topic of AI. The goal was to provide an overview of the world of AI, and that was achieved: I learned a lot and, above all, I now have a good understanding of what is currently important for my everyday work and what is not.
Haufe / Lexware
The course was extremely helpful and practical. Despite already using AI, I lacked a clear understanding of how AI can be meaningfully applied in the daily work of a Product Owner, for example, to better derive insights or to implement them more efficiently in daily tasks. Now, even my friends regularly ask me for my perspective and recommendations on AI.
Head of Product & Delivery | Mobilezone Deutschland
The workshop offered me great added value. We started at a high level, and the participants and their individual questions were addressed very well. Since then, my work with Microsoft Copilot has become significantly more efficient. The deeper understanding of prompting and communication with AI was particularly valuable. As a result, I have been able to noticeably and sustainably increase my productivity.
IT Assistant and Administrator | Magdeburg Municipal Works GmbH
A workshop that truly stuck in my memory: individual, practical, interactive and absolutely solution-oriented. No standard slides, but real work on my own use cases. The additional coaching afterwards was a real added value.
IT Director Global Supply Chain
The workshop was very practical and valuable. I learned how to use Copilot efficiently and developed a good basic understanding of AI, prompting, and relevant frameworks. The insights into Microsoft 365, the comparison of different AI models, and Andreas's clear explanation of the big picture and concrete use cases were particularly helpful.
Global Employer Branding & Talent Attraction Expert
Why training alone isn’t enough, what the Squad brings through the door on day one, how the ROI promise works, which roles make up the Squad, and three phases to full independence.
The AI Squad is our well-coordinated project team of up to six specialized roles – AI Coach and AI Product Manager are always on board, complemented as needed by AI Developer, AI Community Manager, AI Interim Manager, or AI Innovations Manager. Whether as a direct entry point into your AI transformation or following an AI training: we build real use cases with your teams, prioritize by leverage, and anchor AI in everyday work for the long term.
Because training alone is rarely enough: without consistent follow-through, momentum fades quickly. That’s exactly what the AI Squad prevents – in three phases to full independence, with proven blueprints and a clear ROI promise.
Training alone fades – the AI Squad keeps the momentum.
We can make this promise because we start with proven blueprints – not with experiments. The proven foundation and the promise are two sides of the same coin.
At the start, we jointly agree on the success metric – hours saved, euros or similar – and a clear baseline to measure against later.
If the agreed positive ROI isn’t reached, we keep working at no extra cost until the impact is there. No money-back, but real results.
We share the risk – based on a methodology that is proven to work. You go into every use case with a clear plan and a calculable risk. The promise holds when we stick to the agreed plan together.
One fair condition: the promise holds when we stick to the agreed plan together – decisions made on time, availability of data, access, information and the agreed people. Impact only happens when both sides deliver.
Drives adoption and quick wins, leads the ambassador program, keeps the organization moving.
Owns the use case backlog, prioritizes by value, effort and risk, and keeps an eye on ROI.
Builds MVPs, agents and automations, and ensures secure tech operations and quality in ongoing use.
Temporarily leads AI initiatives, closes capacity gaps, and drives decisions forward operationally.
Identifies new business models, products and growth opportunities enabled by AI, and brings them strategically into execution.
In an enterprise context, typically over 12 to 18 months, drawn down in project phases.
AI Coach, AI Product Owner & AI Developer maintain pace and quality across all phases – the team that holds the three steps together in the first place.
Proven for organizations with 2,000 to 10,000 employees: 20–25 ambassadors as a starting point, monthly decisions, a quarterly council.
Gathers needs, supports adoption, brings feedback from practice.
Prioritizes use cases, clarifies governance and risk, prepares decisions.
Owns roadmap, budget and strategic scaling.
Many providers say they want to make themselves redundant. We make it measurable. From day one, the handover to your organization is part of the plan – with criteria by which you measure us.
Internal roles filled and onboarded, an agreed number of productive use cases run in-house, a functioning use case funnel without our involvement.
An AI operations handbook with blueprints, playbooks, governance rules and backlog – that stays in your house.
The point at which your internal AI organization stands on its own and our role ends as planned.
Beyond the first wave of training – now it’s about impact instead of more training.
Integrated into your existing landscape – but free to choose the model and platform.
We develop real use cases and anchor the capability across the organization. Not just tech, not just training.
You benefit from what has already worked for others – backed by our ROI promise.
⚠︎ Placeholder – fill with real, approved cases (industry/size · starting point · what was built · measurable result).
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[Starting point → use case built → measurable result.]
A ready-to-deploy team of specialized AI roles (AI Coach, AI Product Manager, AI Developer and more as needed) that we bring into your organization to anchor AI sustainably in everyday work. Depending on your maturity, we fill the roles and at the same time enable your internal people to take them over.
Training builds competence – the Squad makes sure competence turns into lasting impact. It builds real use cases, guides adoption and keeps the organization moving. It’s the next step once the fundamentals are in place.
For each use case, we agree on a success metric and a baseline at the start. If a use case doesn’t reach the agreed positive ROI, we keep working at no extra cost until it does – provided we stick to the agreed plan together. We can commit to this because we start with proven blueprints.
No. We’re deeply at home in the Microsoft world (Copilot, Copilot Studio, Azure AI), but technology-independent. We also use Claude, ChatGPT or automations with n8n and other platforms – whatever solves the use case best.
Both, depending on your maturity. We always provide the roles ready to go, so you don’t have to recruit for months – and at the same time we enable your employees to take them over step by step.
In an enterprise context, typically 12 to 18 months across the three phases of fundamentals, integrating and adopting – drawn down in project phases. The result is a self-sustaining internal AI organization: with defined handover criteria, a documented operations handbook and a named handover milestone.
Let’s use a no-obligation intro call to figure out where you stand and what an AI Squad would concretely look like for you.
