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AI Strategy & Enablement for SMEs Management consulting – SMEs (e.g. marketing boutique, IT & office services)

Concept and delivery of structured AI introduction and strategy workshops for small and medium-sized businesses. Result: Practical AI status assessment, prioritized use case list, and management decision template as the basis for the next steps in the company’s AI development.

Activities

• Needs analysis and individual preparation of the consulting formats
• Facilitation of a structured AI status assessment including vision, mission, and target picture
• Identification and prioritization of relevant AI use cases and action fields
• Creation of management decision templates and roadmaps
• Raising awareness for opportunities, risks, and success factors of AI introduction
• Support for first customers with AI-supported automation scenarios
• Supporting people and teams through the change process of AI introduction (CM)

Methods / Tools / Technologies

Methods:

• AI status assessment & use case analysis
• Workshop moderation / facilitation
• Requirement Management
• Change Management (PROSCI)

Tools:

• Generative AI tools (e.g. ChatGPT, Claude)
• Automation/AI coding tools (e.g. n8n, Claude Code, Visual Studio, Antigravity)

Technologies:

• Prompt engineering
• AI workflow automation

• Strategic consulting on AI implementation and innovation for companies in high-end sectors such as fashion, beauty, retail, and hospitality.
• Developing strategic roadmaps and decision support for AI implementation in product-related and creative domains.
• Supporting internal storytelling to foster team and leadership buy-in.
• Structured evaluation of potential AI use cases based on maturity, impact, and technical feasibility.
• Simplifying complex AI concepts, LLM structures, and agentic workflows for decision-makers.
• Applying a clear evaluation model for rapid value realization (Build–Buy–Vibe decision framework).
• Identifying common pitfalls in AI implementation and deriving sustainable deployment patterns.
• Developing curated trend radars and positioning AI within high-end brands and regulated environments.

• Engineered and maintained backend systems and APIs for scalable AI-powered applications, integrating LLM-based functionality and MCP integrations for marketing tools into production environments with a focus on reliability, performance, and maintainability.
• Built and deployed LLM-driven workflows, retrieval-enhanced application features, and n8n-based automations, enabling intelligent automation and AI-assisted functionality across backend systems.
• Developed an automated AI content publishing pipeline using n8n, LLM-based content generation, AI image generation, HTML processing, WordPress API integration, and Supabase/Postgres for end-to-end workflow execution.
• Optimized AI workflows and n8n automations by replacing manual steps with webhook-based and API-driven processes, improving scalability, consistency, speed, and production readiness.
• Partnered with cross-functional teams to troubleshoot issues, improve existing software, and deliver new AI-enabled product features in a fast-paced startup environment, while leveraging ChatGPT and Claude to accelerate prototyping, testing, and debugging.

• Partnered with senior stakeholders across AWS EMEA to drive talent strategy, partner development, and business growth in the cloud ecosystem.
• Focus areas:
• Collaboration with Sales & Partner Management on Go-to-Market initiatives
• Advisory on long-term resource strategy for Cloud, Data, and Security Divisions
• Supporting internal innovation teams in scaling AI and automation projects
• Result: Contributed to AWS’s expansion in Central Europe by aligning business, technology, and people strategy.

• Certified AI Expertise: As a AI Manager and Consultant, I understand the mechanics of LLMs and autonomous agentic workflows.
• Decades of Delivery: Over 30 years of experience heading complex, multi-million Euro infrastructure and telecom programs across Europe, Africa, and the Middle East.
• Proven Track Record: Successfully leading international teams of up to 150 members for Tier-1 operators like Vodafone and T-Mobile.
• Clarity: Applying PMP and Agile methodologies to ensure AI programs deliver measurable business results instead of just "tech-hype".
• I help telecom and infrastructure organizations to execute AI-enabled programs with precision, governance, and a "get-it-done" attitude.

• Operating Model Design: Designed and rolled out a 3-tier AI Governance Operating Model, defining organizational structures, roles, tooling, guidelines and processes across Corporate, Business Units, and Implementation layers to manage compliance for 200,000+ employees.
• EU AI Act Compliance: Led the strategic screening and risk classification of 3,800+ AI applications, implementing automated assessments for prohibited practices and General Purpose AI (GPAI) requirements.
• Enterprise Roll-out: Orchestrated the deployment of an internal GPT platform and Generative AI tools, defining the value proposition and adoption strategies for 10,000+ users.
• AI Literacy Architecture: Designed a modular AI training framework to transition the workforce from legacy manual workflows to AI-assisted processes.
• Executive Storylining: Developed strategic narratives for the CIO and Board to secure buy-in for AI investments, translating technical model performance into business-value summaries.
• PMO Infrastructure: Built the end-to-end PMO infrastructure using Jira, Confluence, and Azure Boards to track transformation progress and cross-entity dependencies.

• Delivered AI and data science solutions, including LLM-based chatbots and data pipelines, improving operational efficiency.
• Collaborated on product features, achieving measurable impact and maintaining strong client relationships.

Over 35 years in the midmarket. Client advising, marketing, sales, financial management – always where decisions are pragmatic, not theoretical. Always looking at the big picture, across department boundaries.

When AI came up, I was like many: fascinated but also overwhelmed. Instead of waiting, I dove in with training to become

• AI Consultant and AI Manager (IHK) – for a solid base
• AI Compliance Manager (IHK) – for security
• AI Design Sprint® Facilitator – for strategy

It became clear to me: Most CEOs in mid-sized companies don't need a tech guy selling them the next automation. They need someone who speaks their language, understands their processes, and can place AI – soberly, structured, without hype. They need clarity!

That's exactly me: a business professional meets AI know-how. Not a developer, not a tool seller – but someone who knows how mid-sized companies tick and who now brings the expertise to give SMEs a well-founded start to AI transformation.

AI clarity comes from the AI fixer in 4 modules:

• Assessment (check AI maturity)
• Compliance (AI Act)
• Strategy (AI Design Sprint®)
• Support

• Local AI and agentic systems for SMEs and corporations from use case to production
• Co-founded with Dr. Artur Hahn
• First engagement: AI use case workshop at a corporation, leading to a rollout replacing around 1,200 point-of-sale systems to prioritize 15 AI use cases
• Developed three technical modules: OmniExtract (invoice-delivery note matching), WING (voice-to-CRM), OmniConnect (AI middleware + chat)
• Designed a 12-month learning architecture for an AI consulting firm
• Operational deployment of AI-driven knowledge management

• Governed multi-agent orchestration for regulated, EU-based companies – self-hostable, compliant with the EU AI Act and GDPR („by design“), BYOM (own models/GPU).
• Two-gate governance: agent deliberation + mandatory human approval, full signed audit trail; graduated autonomy model („internal → autonomous per skill“).
• Verified knowledge graph („Company Brain“) with source evidence for every answer; own orchestration framework (Virtual Team Framework).
• Industry solutions for financial services: compliance monitoring, invoice and contract review; hands-on development with LLMs (including Anthropic/Claude), agentic workflows, RAG.
• Building the governance-focused multi-agent platform TeamIntel (see AI reference projects).

Loom and Bloom

Python · TypeScript · n8n · Claude Code · Whisper · Gemini · Supabase · Notion · HubSpot · Digital Ocean

• Built an end-to-end content pipeline: one Loom video → marketing images, bilingual LinkedIn posts, newsletter and Help Center updates.
• n8n webhook → SSH → Claude Code session on a Digital Ocean VPS; three MCP servers (video, Notion, Supabase).
• Whisper word-level transcription, ffmpeg screenshots, Gemini UI annotation, PIL device mockups.
• Next.js upload UI plus a bilingual newsletter composer with HubSpot push.

Consulting and prototype work on AI voice and multilingual agent systems, using AI-assisted delivery across realtime translation prototypes, call-centre automation, and voice-to-voice consultation workflows.

• Built and advised on AI voice / agentic conversation prototypes, including realtime translation and consumer-facing consultation experiences.
• Worked across call-centre automation, voice UX, product architecture, implementation tradeoffs, and prototype development.

• 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.

• Improve and properly define internal processes
• Requirements management and selection of an ERP system
• Consulting on selecting, implementing and using AI to optimize processes
• Systems and technology: ERPnext