AI Consulting & Workflow Automation | Munich
AI consulting and workflow automation services in Munich, Germany and remote. Proof of concept projects, machine learning expertise, and hands-on AI integration.
Unlock Efficiency with AI Consulting & Workflow Automation
I provide AI consulting and workflow automation services from Munich, Germany to clients worldwide. With a background as a machine learning engineer and hands-on experience in LLMs, computer vision, and energy optimization, I help companies reduce costs, automate repetitive tasks, and make smarter data-driven decisions.
Whether you’re exploring AI consulting in Munich, looking for a proof of concept project, or need temporary machine learning support, I offer flexible services tailored to your business goals.
AI/ML Consulting & Advisory
AI Consulting & Workflow Automation – What I Do
Artificial Intelligence is no longer a futuristic idea – it is already transforming the way businesses work. Yet many small and medium-sized companies in Germany and internationally still struggle to identify where AI can bring the most value. That’s where I come in.
I work with companies to analyze their business processes, identify bottlenecks, and design AI-powered solutions that reduce manual work, increase efficiency, and unlock new opportunities for growth. My role as an AI consultant in Munich is not only to deliver the technical side, but also to translate complex technology into practical business value.
What AI Consulting Means in Practice
When I say “AI consulting,” I don’t just mean building models. I help companies answer questions like:
- Which of my workflows can be automated with AI?
- How can I integrate AI into my existing tools and systems?
- What are realistic outcomes and ROI for my business?
From there, I design and build tailored prototypes or end-to-end solutions that solve those problems.
Automating Processes Using AI
AI-powered process automation can take many forms, depending on the company’s needs. For example:
- Large Language Models (LLMs) like GPT can read, understand, and structure documents such as invoices, contracts, or delivery notes – eliminating repetitive data entry. But they can also be used for more advanced tasks such as analyzing customer emails and automatically routing them to the right department, or generating detailed reports from raw company data.
- Computer Vision models can extract information from images – for instance, digitalizing analog electricity meters or recognizing handwritten notes, making data collection faster and more reliable.
- Forecasting and Optimization models can predict demand, optimize scheduling, or improve energy management. For example, an energy company could use AI to forecast electricity consumption and automatically optimize how much power to buy in advance.
In each case, I don’t just deliver the technology — I work with you to integrate it into your workflow, ensuring it is reliable, user-friendly, and delivers measurable results.
Why AI Now – and Why SMEs Have Huge Potential
AI-powered process automation can take many forms, depending on the company’s needs. For example:
Large corporations already use AI to optimize costs and gain a competitive edge. But in my experience, SMEs often have even more to gain, because they face tight budgets and limited staff resources. AI offers them a way to do more with less: reduce repetitive manual work, speed up decision-making, and improve accuracy — all without massive IT investments.
This is why I’m passionate about helping small and mid-sized companies in Germany and abroad tap into AI’s potential. Many processes that were too expensive to automate just a few years ago are now feasible with today’s models, APIs, and cloud services.
By combining my background in machine learning, LLMs, computer vision, and optimization, I can design solutions that are not only technically advanced, but also practical, affordable, and tailored to your business goals.
Proof of Concept (PoC) Projects – Testing AI With Low Risk
For many companies, the biggest barrier to adopting Artificial Intelligence is uncertainty: Will this really work for us? Will it be worth the investment? That’s why I offer AI Proof of Concept (PoC) projects.
A PoC project is a small-scale implementation of an AI solution that demonstrates its feasibility and value — without requiring a large upfront investment. It allows companies to see results quickly, test assumptions, and decide whether scaling up makes sense.
How I Run a PoC
1. Identify the opportunity – Together we select a workflow or problem in your company where AI could deliver measurable impact.
2. Design a focused solution – I develop a prototype that uses the right AI models (e.g., LLMs for document automation, computer vision for image analysis, or forecasting models for planning).
3. Integrate with real data – The prototype is tested on your actual documents, images, or datasets so you can evaluate it in a real-world setting.
4. Measure and evaluate – We assess performance, costs saved, and potential ROI. Based on this, you can confidently decide whether to move forward with a full deployment.
Examples of PoC Projects
Here are some concrete examples of the types of PoC projects I can deliver:
- Invoice Automation PoC – Automatically extract data from invoices, validate entries, and feed them into your accounting system.
- Customer Email Routing PoC – Use an AI assistant to read incoming customer emails, classify them, and forward them to the right team — reducing response times.
- Analog Meter Reading PoC – Use computer vision to digitalize data from analog electricity meters, making real-time energy monitoring possible without replacing hardware.
- Report Generation PoC – Take raw data (e.g., sales numbers or project updates) and automatically generate structured reports or executive summaries with LLMs.
Why a PoC Matters
A Proof of Concept helps your company minimize risk and maximize learning. Instead of committing to a large project upfront, you can:
- Test the feasibility of AI for your specific use case.
- See a working demo tailored to your business.
- Build internal confidence in AI adoption.
- Have a concrete foundation to present to management or stakeholders.
PoC projects typically take only a few weeks, and they are the fastest way to get hands-on experience with AI in your company.
Staff Augmentation – On-Demand AI & Machine Learning Expertise
Not every company is ready to hire a full-time AI engineer or data scientist. But many organizations urgently need temporary, specialized support to accelerate projects, test new ideas, or fill knowledge gaps. That’s where I come in.
I offer AI staff augmentation services: stepping in as part of your team for a defined period of time. This gives you the expertise of a senior Machine Learning Engineer without the cost and commitment of a permanent hire.
How It Works
- Flexible Engagements – I can join your team for a few weeks or months, depending on your project’s scope.
- Seamless Integration – I work directly with your engineers, product managers, or business leads, fitting into your workflows and tools.
- Hands-On Execution – From building AI prototypes to optimizing existing models, I deliver results quickly.
- Knowledge Transfer – I document everything and train your team so you’re not dependent on me after the project ends.
What I Can Help With
- AI & LLM Integration – Embedding GPT-powered assistants into your customer service, internal tools, or data pipelines.
- Computer Vision – Building models for object detection, quality control, or analog-to-digital data extraction.
- Predictive Analytics – Forecasting demand, energy usage, or financial trends with custom ML models.
- Optimization & Automation – Streamlining workflows to save time and reduce manual effort.
Why Choose Temporary AI Expertise?
- Faster Time-to-Value – Bring in expertise immediately instead of spending months recruiting.
- Cost-Effective – Access top AI talent without a permanent headcount.
- Low Risk – Scale up or down as needed; only commit to the duration you require.
- Proven Experience – I’ve worked on projects across industries, from document automation to energy system optimization, and can adapt quickly to your domain.
Staff augmentation is the ideal option for companies that want to experiment with AI, deliver a critical project, or strengthen their team without hiring full-time staff.
Interested
Ready to Explore What AI Can Do for Your Business?
Whether you want to explore opportunities with an AI consultation, test a solution through a proof-of-concept, or bring in temporary AI expertise to accelerate your team — I provide the flexibility and know-how to move your business forward.
I believe that AI is not about hype — it’s about practical solutions that save time, reduce costs, and open new revenue streams. From document automation to energy optimization and predictive analytics, the possibilities are real and within reach.
Let’s turn your ideas into measurable results.
What can you do with AI
AI Use Cases for SMEs – Practical Applications to Boost Efficiency and Profitability
Artificial Intelligence (AI) is no longer reserved for big tech companies. Small and medium-sized enterprises (SMEs) in Germany, Europe, and worldwide can now take advantage of affordable AI solutions to save time, cut costs, and unlock new opportunities. From automating document workflows and improving customer support to forecasting demand and optimizing energy usage, AI can be integrated into everyday business processes with measurable results.
On this page, you’ll find a comprehensive list of practical AI applications for SMEs — including concrete examples of how AI can create real business value. Whether you run a manufacturing company, a service provider, or a family business, these use cases will show you how AI consulting and workflow automation can be applied in your company today.
Document & Data Processing
AI can read, extract, and process information from large volumes of text, images, and even video — reducing manual work and minimizing errors.
Examples:
- Automatically extract key information from invoices, contracts, tax forms, and emails.
- Turn scanned PDFs or images into structured, searchable data.
- Summarize long compliance documents or translate legal text into plain language for decision-makers.
- Detect missing clauses or risky terms in contracts and agreements.
- Translate any document to another language.
Customer Communication & Support
AI-powered assistants can improve customer service while saving staff resources.
Examples:
- Build a custom AI chatbot for your company website that answers FAQs 24/7.
- Automatically draft and send personalized responses to customer emails.
- Analyze customer feedback sentiment from surveys or social media.
- Generate tailored marketing copy, ads, and newsletters.
Business Automation & Productivity
AI helps automate repetitive processes and supports employees in their daily work.
Examples:
- Draft contracts, business reports, or presentations automatically.
- Generate professional website content or product descriptions in seconds.
- Use speech-to-text for meeting notes, or generate slides from internal documents.
- Teach employees how to use tools like ChatGPT effectively to save time in research, reporting, or documentation.
Forecasting & Optimization
By analyzing historical and real-time data, AI provides predictions and recommendations that improve decision-making.
Examples:
- Demand forecasting to reduce storage costs and optimize supply chain planning.
- Predict seasonal trends for better resource allocation and workforce planning.
- Optimize energy usage and electricity purchases to cut costs.
- Suggest optimal machine settings in production to increase yield and reduce waste.
Search & Knowledge Management
AI makes company knowledge accessible and usable — even across unstructured documents.
Examples:
- Make thousands of internal documents, images, and videos fully searchable.
- Build an AI-powered knowledge assistant that answers employee questions based on company policies, manuals, or technical guides.
- Classify incoming emails, tickets, or documents into the right categories automatically.
Data Transformation & Synthetic Data
AI bridges different data formats and creates synthetic data where real data is limited.
Examples:
- Convert speech or video into text for analysis.
- Generate realistic synthetic time series data for testing business scenarios.
- Create synthetic energy consumption profiles to simulate PV/battery sizing before investment.
- Produce synthetic customer behavior data for marketing experiments.
Quality Control & Monitoring
AI can detect errors, anomalies, or risks earlier and more reliably than manual checks.
Examples:
- Computer vision models for detecting defects in production lines.
- Automatic classification of quality inspection images or sensor data.
- Monitor operations and raise alerts when patterns indicate maintenance needs.
AI in Finance & Strategy
AI supports better financial decisions and opens up new opportunities in markets.
Examples:
- Analyze company performance data to spot new business opportunities.
- Use AI for cashflow forecasting and risk assessment.
- Apply predictive models to stock or commodity market data for investment insights.
- Automate reporting for tax or compliance purposes.
Takeaway for SMEs:
AI is not just for large corporations. With today’s technology, small and medium-sized businesses can also automate tasks, gain deeper insights, and improve profitability without huge upfront investments.