Robotic Process Automation Experts in Germany

Stabilization of an Azure/.NET landscape in live operation.

• Architecture, DevOps, and operational readiness; technical decisions under time pressure
• Azure DevOps, monitoring, ETL/ELT, cloud security, FinOps, and data-mesh-related topics

Technologies: Azure DevOps, .NET, CI/CD, monitoring, FinOps

• Marketing consulting for the EDL@Home and Commodity (electricity & gas) business areas
• Development of data-driven marketing and sales strategies
• Definition and expansion of key channels (Web, App, Portal, Social, Paid, Sales Partners)
• Target, annual and budget planning for the EDL@Home business area
• Definition of business requirements for marketing platforms
• KPI-based performance management
• Development of dashboards to measure success
• Performance reviews with management
• Management of external service providers
• Stakeholder management between Marketing, Sales, IT, Customer Service and Management

Analysis and optimization of end-to-end processes in various business areas such as sales, procurement, order processing, and logistics. Redesign of the ERP system. Identification of optimization potential, especially in areas with media discontinuities and manual activities, as well as creation of a prioritized transformation roadmap with clear business cases and implementation recommendations. Management of automation initiatives. RPA at the production site in China. Evaluation and introduction of relevant AI use cases, as well as building basic AI capabilities within the organization. Training internal project team members and supporting them throughout the transformation process to develop a culture of continuous improvement. Close collaboration with IT and external implementation partners, with reporting to senior management.

Main responsibilities and achievements:

• Analysis of business processes and design of automated processes
• Training and support for employees in China and Germany
• 20% cost savings in logistics
• Regular status reports to senior management

• Objective/Motivation: PAYONE urgently needs a 360° view of its customers. So far, PAYONE has had no company-wide master data strategy. It is not possible to identify customers across all relevant systems.

The organization is to be enabled to identify customers across all relevant systems. Establishing the basis for master data management at PAYONE

• Challenge: Due to company acquisitions, the system landscape is very heterogeneous. The company is highly dynamic and burdened with many system harmonization and integration projects, meaning that resource bottlenecks and changes in project priorities repeatedly create an almost impossible task.

Due to BaFin findings, the project has a central task and role. The first focus is the migration of all customers, including their AML/KYC data, from the master data backend systems to Salesforce. This is intended to resolve one of the largest findings and establish the corresponding ODD/EDD processes.

In addition, customer data must be harmonized in Salesforce. Previous migrations resulted in duplicate customer records in some cases. The aim is therefore to maintain only one customer in Salesforce and, using the relevant information from the backend systems, also be able to identify which products the customer uses and in which processing systems the customer obtains PAYONE services.

Project: ONE Customer

Budget: €1.5 million

Team: 10/30 employees (full-time/part-time); 4 vendors/providers

Integration: 8 (subsystems/interfaces)

Applications: Salesforce; SAP S4/HANA; in-house developments

Tools: MS Office; Jira, Confluence, SharePoint

Methods: Hands-on; Agile (SAFe); Prince2

Leading public Cloud Projects hands on. Develop the German market for SAP consulting company Inxap focused on edge technologies.

• Built and expanded INXAP's SAP consulting presence in the German market, focusing on AI, automation, IoT, and next-generation financial process technologies.
• Advised CIOs, CFOs, and IT leadership teams on SAP strategy, digital transformation, and Center of Excellence (CoE) operating models.
• Led executive-level engagements, shaping solution roadmaps and driving high-value SAP S/4HANA, SAP Public Cloud and financial process automation initiatives.
• Developed and negotiated strategic deals, ensuring alignment with corporate IT priorities and delivering measurable business outcomes.
• Positioned INXAP as a trusted partner for edge technologies by translating complex innovations into actionable enterprise use cases.
• Built relationships with key stakeholders across corporate IT, enabling long-term partnerships and repeat business.
• Identified market opportunities, crafted go-to-market strategies, and represented INXAP in executive discussions with German enterprises.
• Coordinated cross-border collaboration with Swiss leadership to align offerings, delivery models, and client acquisition strategies.

Tasks & results:

• Developed measures to improve management steering during a restructuring program (approx. 80 participants)
• Set up a PMO to ensure transparency, reporting and data-driven decisions
• Created an integration template to transfer team s...

Independent Consultant

• Advisory focus: E-Commerce, Digitalization, Automation, Pricing, Assortment & Merchandising, Platform Strategy
• Industries: Retail & Consumer Goods
• Subject Matter Expert for leading management consultancies
• Ongoing executi...

• Designed and implemented comprehensive business processes, leading cross-functional teams to increase customer satisfaction and reduce costs
• Provided training and ensured benefits realization through end-to-end workflow development
• Contributed to the “Generate Insights from Hidden Knowledge” initiative by developing and deploying AI-driven workflow automation solutions using Large Language Models (LLMs) and low-code/no-code platforms
• Designed multi-agentic workflows integrating OpenAI, LangChain, Haystack, and n8n to automate document review, data extraction, and knowledge summarization processes
• Led the orchestration of AI and automation frameworks to enhance medical and business review processes, ensuring compliance, explainability, and transparency
• Collaborated cross-functionally to translate complex business requirements into AI-enabled automation prototypes aligned with enterprise compliance and data privacy standards
• Applied Power Automate, UiPath, Nintex, and ServiceNow to deliver rapid, scalable, and secure automation solutions within validated operational environments
• Leveraged Lean Six Sigma, Agile/SAFe, and ITIL principles to structure AI development pipelines ensuring measurable impact, auditability, and sustainable governance
• Managed cross-departmental collaboration to standardize workflows, reducing errors and enhancing task management. Established governance frameworks to ensure the sustainability of automation solutions

Technologies: n8n, Notion, OpenAI API, Claude, MS AI Foundry, MS CoPilot Studio, MS CoPilot, LLM, Node.js, Vercel, LangGraph, PostgreSQL, pgEdge, pgvector, Docker, LangChain, Ollama, Open WebUI

• Continuous evaluation and prioritization of internal automation needs
• ~20 AI agents in active use: research, content pipelines, document processing
• 5 n8n workflows for automated data and process control
• Architecture built on the same principles as in customer projects: state management, event-driven orchestration, API integration
• Ongoing operation and further development

• Structured analysis and evaluation of business processes

• Gathering, documenting, and prioritizing requirements

• Creating business-friendly and technically executable process models

• Use of Camunda tools

• Deriving requirements and interfaces from BPMN diagrams

• Coordination with stakeholders and business units

• Translating business requirements into technical solution designs

• Implementing efficient and tailored applications

• Systematic collection, analysis, and documentation of requirements

• Prioritizing and validating requirements in close collaboration with stakeholders

• Alignment between business and development to ensure shared objectives

• Creating use cases, user stories, and acceptance criteria

• Continuous requirements and change management throughout the project lifecycle

• Define project goals and create project plans

• Delegate tasks and monitor project progress

• Monitor budgets and inform stakeholders

• Mendix: Architecture, development, and maintenance of custom applications (Microflows, Domain Model, Security, XPath)

• Modeling Mendix workflows for process optimization

• Develop scalable apps with Mendix including REST/SOAP integration with SAP, SQL, Azure & SharePoint

• UI design for Mendix using Atlas UI, Fluent UI, HTML, CSS, JavaScript

• Develop web & mobile apps with Mendix using agile methods (Scrum, Kanban)

• Implement business logic with Mendix Microflows and Nanoflows

• Performance optimization and architecture improvements for Mendix applications

• Conduct Mendix training

• Create technical documentation and best practices for Mendix

• Coaching and mentoring for low-code development with Mendix

Evaluation, structuring, and handling of complex tenders for Sogeti as well as as part of larger Capgemini proposals. Focus on analyzing demanding customer requirements, deriving solid solution concepts, and translating technical, functional, and commercial aspects into convincing proposal storylines. In close alignment with delivery, sales, account, and bid teams, scalable and implementable Quality Engineering solutions were designed, evaluated, and prepared for customer decisions. This included selecting suitable role profiles and right-shore staffing options, assessing available skills and capacities, as well as the commercial preparation of reliable price and effort calculations.

A special focus was on bid management and handling service proposals (RfP/RfI analysis), solution design, presentation and management materials, as well as the functional and technical evaluation of customer requirements in the context of Quality Engineering & Testing, agentic AI-supported test automation using modern quality assurance approaches.

SOGETI projects:

• BMW: Development of a test strategy including test management, test automation, and provision of a rightshore delivery model.
• GEA: SAP Business Assurance and Quality Engineering for an SAP rollout including test governance, test automation, AI agent layer, and hypercare concept.
• AIXTRON: SAP S/4HANA Cloud migration explore phase with QA assessment, testable blueprint structure, staffing, and scalable Sogeti delivery approach.
• Deutsche Glasfaser: Quality Engineering & Testing for DG development squads, including ServiceNow and Salesforce, testing automation and governance.
• ERGO: RfP/proposal support for Managed Service Test Data Provisioning as well as a Jira/Atlassian rollout with assessment, target picture, MVP, rollout, and governance.
• Munich Re: Proposal and solution design in the insurance environment with a focus on test data provisioning, process analysis, compliance, and automation.
• BWI: Project/proposal context in the public/IT service environment with reference to Quality Engineering, Test Factory, and digital transformation support.
• Rolls-Royce: Proposal/project support in the Sogeti context with a focus on structured RfP analysis, solution design, and customer-oriented proposal preparation.

• Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
• On-premise AI solutions with high compliance and performance requirements.
• Architecture decisions, operational setup, strategic prioritization & deployment.
• Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
• Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.

• Responsibility for time, budget and quality targets of the sub-project
• Creation and maintenance of the sub-project plan including dependencies to FI, CO, PP, SD
• Definition of work packages, resource planning and progress monitoring
• Risk and change management within module scope
• Analysis of as-is processes in procurement, logistics and warehouse management
• Design of to-be processes according to SAP standard (EWM warehouse processes such as goods receipt, put-away, picking, goods issue)
• Coordination with key users and specialist departments
• Support for interface development with external warehouse systems and supplier portals
• Organization of test data, error tracking and test documentation
• Support for deployment preparation and key user training
• Participation in the cutover plan (data migration, go-live preparation)
• Support of the department during the hypercare phase after go-live
• Assistance in mapping EWM core processes
• Management of external service providers
• Use of Jira, Confluence, Signavio, MS Teams, Aqua ALM

• Gathering, evaluating, and prioritizing strategic demands from the Electronics and Power Systems business units
• Supporting the digitalization of business processes for Electronics and Power Systems
• Process digitalization and IT architecture planning, including network infrastructure
• Reviewing demands with regard to existing solutions in coordination with IT and business departments
• Designing and implementing possible business architectures
• Planning implementation projects, in particular supporting import control through the introduction of SAP GTS
• Acting as the interface between business departments and IT
• Creating and implementing concepts for IT security, compliance, data protection, and the protection of classified information
• Conducting workshops, process analyses, and training sessions
• Stakeholder management and change management
• Technologies used: SAP GTS, SAP MM, SAP SD, MS Office 2016, MS SharePoint, ServiceNow, SharePoint