n8n Experts

• Redesign of the company’s BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment using a unified data model as the company-wide single source of truth
• Consolidation of previously isolated reporting logic in a central semantic model – elimination of redundant files, manual data transfers and inconsistent metrics across departments
• Forecasting & Planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enabling rolling forecasts and continuously up-to-date cash flow transparency for management
• Optimization of existing Power BI dashboards in terms of performance, structure and analytical value using an AI-native approach
• Analysis and improvement of the data model, including data quality analyses, data cleansing and consistent modeling using Star Schema, DAX and Power Query
• Incident & Anomaly Analysis: Identification, investigation and explanation of data anomalies, including root-cause analysis and specific recommendations for action
• AI Solution Architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
• Development of a historical data layer as a basis for trend and time-series analyses
• AI-supported automation: Design and development of AI skills, agents, loops and processes for the automated analysis and interpretation of reports
• Automated reporting workflow: Setup of scheduled, automated email delivery of AI-generated analyses and recommendations to stakeholders
• Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
• Breaking down overall requirements into clearly defined work packages and tasks
• Definition, prioritization and management of milestones throughout the entire project lifecycle

Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code

• Fixed a broken “ScrumBan” process, then established a pure Kanban system; increased output in the Kanban flow by 22 % in four weeks

• Increased team autonomy and decision-making ability by implementing new decision-making strategies, resulting in up to 25 % better outcomes

• Redesigned retrospectives (including through one-on-one coaching and workshops), leading to consistent implementation of the resulting action items

• Intensive coaching of Product Owners (POs) to develop and promote “Empowered Teams,” alongside leadership development to provide a realistic perspective (“disillusionment”) on agile frameworks and methods

• Supported change management processes to promote an agile company culture among management and teams, while improving internal communication to increase transparency and effectiveness in agile processes

• Founder of CheironX: AI-supported GRC management (ISO 27001, BSI IT-Grundschutz, TISAX, DORA)
• Strategic focus on Agentic AI and GenAI for modern IT Governance, Risk & Compliance Management
• IT interim management and strategic consulting

• Instructor for an AZAV-certified AI training program for working professionals; designed in February 2026, with five cohorts each running for one month from March 2026
• Designed and created all modules and learning materials
• Topics: AI fundamentals, prompting, use cases in communication, analysis, and processes, agents and workflows, the EU AI Act, and GDPR
• Taught small groups of 3 to 9 participants from different professional fields and levels of seniority
• Provided individual learning support throughout each course
• Result: completed five cohorts with around 500 hours of live instruction

• Expansion of the competence portfolio to include AI-driven marketing & chatbot integration
• Design and development of several intelligent chatbots (Steno, UChat, ManyChat, GHL) for MeditationSoul.org and Physio Point for automated promotion of workshops, retreats, and online courses
• Experience with social media automation tools and AI content tools (e.g., ChatGPT, Gamma, HeyGen)
• Creation of automations with n8n for marketing and CRM processes (lead nurturing, event promotion, funnel flows)
• Combining creative brand communication and AI-supported automation to increase efficiency and personalization in digital marketing campaigns

Developed the product vision and outcome strategy for a new registry platform, designed a management workshop for strategic alignment, conducted BPMN process mapping across systems and roles, analyzed user story practices and further developed them on an outcome basis, and brought together stakeholders from business departments, management and the external development partner.

Skills: Product Strategy, Outcome Roadmapping, Stakeholder Workshops, BPMN/Process Analysis, Miro, Linear

• Established a cyber resilience framework for AI-accelerated threats in the Frontier AI Threat Endurance (FATE) program: capability assessments, maturity assessments and gap analyses covering cyber security, operational resilience, incident response, recovery and governance, followed by target concepts and improvement measures
• Supported action owners from specification through implementation: implementation roadmaps, decision papers, management presentations and governance reporting, as well as audit- and supervision-ready documentation; managed stakeholders from IT, Information Security, Risk Management, Operational Resilience, Business Continuity and the business units

• Wrote the book chapter “Entwicklung eines digitalen Geschäftsmodells” for the Springer Gabler collection “Praxishandbuch Digitales Management”.

• Documented complex financial reporting processes in deep-dive sessions with subject matter experts
• Analyzed and mapped the 3-tier data flow SAP – Essbase – HQ (984 account entries, triple chart of accounts)
• Identified the biggest time drains (40 % of close time)
• Evaluated technologies (AWS, Microsoft Fabric, Custom/Hybrid) with cost-benefit analysis
• Created a validation rule catalog with 351 rules as the basis for pre-submission automation
• Business case: estimated savings potential of 480–960 T€/year for the EAR region
• Hands-on implementation with Microsoft Fabric, RAG, AI agents/Tool Calling and n8n; productive use of Microsoft Copilot and Copilot Studio
• AI-supported project management workflows (minutes, tasks, knowledge synchronization)
• Stakeholder management at senior management level (EAR Accounting, IEA IT, TFSC Japan), workshops and training on AI tools

Technologies: Microsoft Fabric, Copilot Studio, Claude AI, Python, Power BI, SAP, Essbase/SmartView, Excel (VBA), Notion, SharePoint

• Advising on and selecting voice systems based on requirements, integration, data protection and cost
• Designing call guides, knowledge bases and handover to employees
• Test planning, call analysis and optimization of existing solutions

The client operates a SaaS platform for managing rail and intermodal transport (Rail-Flow Transport Management Platform).

For two of its customers, it was looking for a 3-month project management replacement. Both customers offer rail and intermodal transport services. Implementation progress differs: one customer is already live and wanted its Phase 2 enhancements implemented; the other customer is implementing its MVP and entering an intensive testing phase.

As part of the assignment, project management was taken over, including management of the internal development team (offshore Turkey).

• Took over complete project management for 2 customer projects, including the roles of Product Owner and Co-Scrum Master
• Managed agile implementation teams consisting of business analysts, implementation consultants, developers (offshore) and QA staff
• Ensured compliance with and further development of project governance
• Planning and rollout management: creation and maintenance of project and rollout plans as well as coordination of role assignments with the client’s management
• Requirements and change management: management of contractual requirements, bugs and changes
• Customer and project communication: organization and moderation of status meetings and steering committees
• Identification of project risks, initiation of countermeasures and escalation
• Ensured correct and timely invoicing for project services together with Finance

Methods: Scheduling (forward- and backward-based), including milestone planning, structured interviews, multi-project management (in English)

Tools / Technologies: Jira, Confluence / Atlas, Claude (Skills, Artifacts), MS Outlook

The consultancy is developing AI agents for managers for a client. The underlying logic is built in GPTs, while the client works with Microsoft.

In progress:

• Designing and implementing agents for people management and leadership development in Copilot Studio
• Transferring the GPT logic to the end client's Microsoft environment

Reporting and controlling using Power BI for a production ERP system

• Analysis of ERP data and interfaces for use in Power BI dashboards
• Evaluation and migration of existing reports (e.g. Excel) to Power BI
• Development of an authorization concept for selective data access
• Documentation and training on the use and customization of Power BI dashboards

Label: Power BI, Excel, SelectLine ERP, Microsoft SQL, SQL Server Management Studio

AI-supported document processing and inventory management integration

Design and development of an AI-supported application for the automated processing of delivery and invoice documents, connected to SelectLine ERP. Documents are analyzed using AI, matched with orders and line items, and prepared for posting goods receipts.

IMPACT:

• Automated extraction of structured order, delivery and invoice data from PDF and image documents
• Automatic and manual mapping of documents to orders and order line items
• Integration with SelectLine ERP for order import, status synchronization and goods receipt postings
• Traceable processing through separate analysis, mapping and posting processes as well as technical logging
• Development of a containerized end-to-end architecture with AI analysis, workflow automation and relational data storage

KEYWORDS: AI, document analysis, OpenAI, n8n, SelectLine ERP, FastAPI, Python, JavaScript, MariaDB, Docker, REST API, PDF, OCR, mapping, inventory management, goods receipt, workflow automation