From the first idea to your own AI agent.

Clear priorities instead of AI sprawl

For leadership and innovation teams that want to turn a pile of loose AI ideas into real prioritisation: in a one-day interactive workshop (on-site or remote) we first analyse your existing tools and processes, assess possible use cases by business value and feasibility, and work out a concrete action plan together.

The result: instead of isolated one-off initiatives, your team focuses on the 3 use cases with the biggest leverage — with a clear, prioritised roadmap for the next 90 days.

Services at a glance:

• Preparatory analysis of your existing tools & processes
• 1-day interactive workshop
• Use-case scouting & assessment (impact vs. complexity)
• Concrete action plan with effort estimates

Realistic effort: approx. 12–16 hrs.

How to systematically find growth areas is covered in our article on the Ansoff matrix with AI tools.

Legal certainty and clear guardrails for your team

For management, CISOs and HR leads who want to prevent shadow IT and stay on top of regulatory requirements (EU AI Act, data protection). We review your current tool stack, draw up tailored AI guidelines, classify your use cases by risk and support the rollout across the team.

That's how you reduce the risk of data leaks, avoid fines and meet your duty of care towards employees and customers.

Services at a glance:

• Audit of the current tool stack & shadow IT check
• Tailored AI guidelines (governance & policy)
• Risk classification of your use cases
• Rollout communication & training concept for the team

Realistic effort: approx. 16–20 hrs.

Structured continuing education instead of theoretical ballast

For educational organisations as well as companies that want to offer their employees a structured, multi-level AI training programme. Benefit from a proven, modular course structure built over years of lecturing in AI continuing education — understandable modules from the fundamentals through prompting to law, ethics and industry use cases.

Services at a glance:

• Design of 3 to 8 lessons/sessions (in person or online)
• Teaching materials, exercises, quizzes and slides
• Delivered by an experienced lecturer in AI continuing education (Michael Schranz)
• Optional: creation of graded assessments

Realistic effort: approx. 12–24 hrs. (depending on number of lessons & preparation)

What good prompting looks like in day-to-day work is written up in our article on prompt engineering for SMEs.

Show, don't tell — real prototypes instead of pure theory

For universities and corporate innovation teams that want to prototype real AI products in the shortest possible time. Teams of 2–5 people build working digital prototypes (web apps, agents, automations) — including pre-work, kick-off, two execution blocks and a big demo day with pitches.

Services at a glance:

• Pre-phase: skill check, topic selection, differentiated pre-work
• Kick-off: 2-hour online setup & team building
• Block 1 (2 days): tool setups, prompting, requirement engineering, UX/UI & prototype architecture
• Block 2 (2 days): build phase via vibe coding, testing & demo day with pitches
• Evaluation & feedback scheme

Realistic effort: approx. 45–60 hrs.

How fast an idea turns into a working application is something we show with our own example: Building a web app in days — with AI and no-code.

Learning on real tasks instead of textbook examples

For business functions (marketing, HR, sales, operations) that want to use AI tools productively in their daily work. In two practical live sessions we work with your own, real tasks — that lowers the barriers to entry and noticeably improves the quality of results.

Services at a glance:

• 2 × 3 hours of practical live sessions (remote or on-site)
• Prompt engineering frameworks for complex tasks
• Setup of custom GPTs / Claude Projects for routine tasks
• Training materials & prompt library included

Realistic effort: approx. 10–12 hrs.

We wrote up the fundamentals in prompt engineering for SMEs.

AI-assisted development, set up properly

For software teams and tech startups that want to master the transition to AI-assisted development — with noticeably shorter development cycles and automated code reviews.

Services at a glance:

• Setup and configuration of modern IDEs (Cursor, Windsurf, Claude Code)
• Integration of AI agents into existing Git / CI-CD pipelines
• Hands-on coaching on context files & prompt-driven development
• Best practices for reducing AI hallucinations in the codebase

Realistic effort: approx. 16–24 hrs.

We documented our own setup — including the pitfalls — in Building a web app in days.

Source-backed answers from your own documents

For SMEs with scattered knowledge (PDFs, intranet, SharePoint, Confluence) that lose a lot of time searching for internal information. We build you a secure RAG architecture that delivers answers in seconds, with sources — and without public model training.

Services at a glance:

• Setup of a secure RAG architecture (retrieval-augmented generation)
• Connection of up to 3 data sources
• Hallucination guardrails & role/permission concept
• Handover & onboarding of the core team

Realistic effort: approx. 30–40 hrs. (sprint over 2 weeks)

Seamless data flow instead of manual copy-paste work

For companies with recurring, manual processes between different software systems (CRM, ERP, mail, ticketing systems). We automate your processes error-free, available 24/7 and scalable — including monitoring and defined human intervention whenever things get uncertain.

Services at a glance:

• Process analysis & technical workflow graph
• Integration of AI models into n8n/Zapier/Make or custom API pipelines
• Automated data extraction (e.g. invoices, contracts, emails)
• Monitoring dashboard & exception handling

Realistic effort: approx. 24–36 hrs.

A concrete example, step by step: AI agent for your inbox. The bigger picture comes from our hands-on series on AI agents for SMEs.

One idea, an entire multi-channel package

For marketing & growth teams that want more output at consistently high quality — while keeping your own brand voice intact.

Services at a glance:

• Setup of a tailored "brand voice & knowledge base" for AI tools
• Automated content pipelines (e.g. blog-to-social-media workflow)
• Integration of image and text generation into the CMS
• Training the marketing team to verify the output

Realistic effort: approx. 18–25 hrs.

On tool selection we wrote finding the right marketing automation tool, on measurement tracking marketing performance with a multi-agent system and on forecasting predictive analytics without a data scientist.

Specialised agents for complex business problems

For innovators and digital front-runners who want to hand over complex, multi-step tasks to specialised, collaborating AI agents — agents independently take on roles such as researcher, writer, reviewer or coder.

Services at a glance:

• Potential analysis: identifying use cases for collaborating agents
• Architecture design (e.g. with CrewAI, AutoGen or LangGraph)
• Development of specialised agent roles and tool setups
• Human-in-the-loop interfaces and deployment in a secure cloud environment

Realistic effort: approx. 45–60 hrs.

What such systems look like in practice is shown in our hands-on series on AI agents for SMEs.