Artificial Intelligence Experts in Vienna

• Consulting and interim management at the intersection of IT operations and regulation
• Impact assessment and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
• Training for governing bodies and employees on regulatory obligations
• Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
• Supervision of Master's theses and participation on examination boards
• Industry talks for businesses and educational institutions
• Design and development of data and AI products, platforms and pipelines
• Privacy-first architectures and Zero-Knowledge encryption, cloud-native on EU infrastructure
• Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
• MLOps and AIOps in live operations
• Own applications under my own brand: shared codebase, separate deployment for each target device
• AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
• Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
• Professional publications on data sovereignty, cloud economics and industrial image processing
• AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics

Organizational Change Management for the strategic setup of a hybrid GBS rollout as part of a global, AI-driven Finance Transformation. End-to-end management of the OCM architecture in a highly complex on-, near-, and offshore partner setup [IN, PL, RO]. Successful completion of Phase 1 (Initial Strategy) and strategic pausing by the Executive Board after the early disclosure of critical vendor-side OPEX risks

• Systemic Baseline Assessment & Stakeholder Diagnostics: Evaluation of the global organization and analysis of the process landscape across 21 countries [AT, DE, CH, FR, UK, SI, RO, UA, RU, US, CD, CN, AR, MX, ZA, IN, JP] to precisely determine change requirements

• Architecting the OCM Strategy & Master Roadmap: Independent development of a comprehensive, AI-centered Change Roadmap for end-to-end management of all change initiatives across every project phase

• Data Quality & AI Agent Risk Mitigation: Auditing of Process Data Repositories (Celonis analysis); prevention of the ingestion of 58% synthetic training data to safeguard AI model reliability amid geopolitical supply chain tensions

• GBS Vendor BAFO Triage & Contractual Commitment: Critical review of Tier-1 vendor pitches and contractual commitment to a reduced Non-STP rate (from 7% to 4%) to avoid extreme manual rework with a planned FTE reduction (-63%)

• Executive Enablement & Board Alignment: Design of the GBS Transformation Executive Board Deck to strategically enable C-level executives and transparently present completely overlooked AI tokenization costs

• Targeted Change Communications & Engagement: Design and development of audience-specific communication measures to align the highly diverse, globally distributed stakeholder network

• Adoption Velocity & Resistance Measurement: Engineering of quantitative measurement tools (Pulse Check Survey) using Behavioral Dyads to identify resistance based on data and ensure sustainable success measurement

Results:

• Avoidance of disruptive misallocations: Stopping the ingestion of 58% synthetic AI-agent training data after discovering only 42% compatibility with existing processes, preventing critical GBS cascade errors
• Significant OPEX & effort reduction: Reduction of the Non-STP rate in Tier-1 vendor BAFOs from 7% to 4% alongside an impending 63% Finance-FTE reduction; avoidance of thousands of time-consuming manual correction processes
• 100% Delivery of the OCM architecture & ROI protection: Delivery of all OCM artifacts (Change Roadmap, Comms Plan, Executive Board Deck, Pulse Check Survey) and protection of ROI by identifying incalculable LLM runtime token costs

Independent practice serving clients in SAC-P and AI-enabled FP&A transformation, including financial model development for PE firm engagements, data cleansing with PowerQuery, workflow automation Claude Cowork, SAC-P scoping task-based assignments (Micro1.ai & Mercor.ai), and SAP partner network development.

• 2026 – Completed significant upgrade training for Positioning Business AI and SAP Cloud ALM Workshop (In-Person). Live Demos • SAC-P & Excel-Based Reports • Claude Partner • SAP Partner#: 1961209 (OE – Build)
• Fall 2026 – New effort to re-train/update past FI/CO, SAP BPC, SAP Platform to S/4 Finance & Core G/L Accounting
• 2026 – Upskilling for Transformation Toolchain. In-Person Workshops: Cloud ALM & SAP BTP • Joule Demo(s)
• 2025 – FP&A processes • Datasphere & Business Data Cloud • Team Workshops for AI • Toolchain & SAP Cloud ALM
• 2024 – Built key credentials on Deloitte S4 Experience • Group Reporting and SAC-P

Datacenter audit and subsequent transformation program

• Initial situation: Following a critical outage, the datacenter was considered the cause. A traditional audit was to be put out to tender.
• My diagnosis: The technical architecture was not the core problem. The key issues were the incident, diagnosis, and recovery processes, as well as a lack of transparency regarding costs and dependencies.
• Impact: The audit was implemented pragmatically in-house. The results and budget foundations became the basis for a multi-year international transformation program. I was then retained as the preferred candidate for a central transformation stream.

• Project management in the PMO
• Further development of PMO and operational processes
• Development of templates and project documentation
• Management of a DACH/SOE-wide rollout project

I build. I advise. I think in systems. After years leading digital transformation at scale — Accenture, BP, Lidl — I made a deliberate choice: trade platform dependency for structural independence. My focus is at the intersection of AI systems, product strategy, and venture thinking. I work with operators and founders who want to move fast without losing control — of their data, their stack, their direction.

• Analysis of existing work, information and decision-making processes.

• Identification and prioritization of suitable use cases for AI agents.

• Elicitation of functional and non-functional requirements.

• Design of collaboration between users and AI agents, including control and escalation mechanisms.

• Support for the implementation of the AI agents and adapted keyboard hardware.

• Business target vision for the AI-first transformation.

• Structured and prioritized requirements for implementation.

• Defined roles, interactions and control points between people and AI agents.

• Preparation for the gradual automation of productive work processes.

Techstack: AI agents, LLMs, agent orchestration, RAG, APIs, automation, hardware

Technologies: Azure DevOps, Jira, Confluence, Office 365 (Teams, PowerPoint, Copilot, Excel, SharePoint, Forms, OneNote, PowerAutomate, Word), DataDog, Conceptboard, Python, AWS, Claude, Perplexity Methodology: Scrum

• Steering and supporting the organization in introducing Scrum and a SAFe-inspired quarterly roadmap and portfolio planning at program level.
• Servant leadership for Scrum teams and managers to achieve quarterly goals and measurably increase value creation for internal and external customers.
• Designing and building efficient communication and collaboration structures between multiple development teams and central stakeholders in the organization.
• Moderating and facilitating cross-functional workshops and management meetings to align on shared goals.
• Coaching leaders, Product Owners, and development teams on agile values, role understanding, and scaled ways of working (Scrum, SAFe, Business Agility).
• Removing structural obstacles at team and organizational level through targeted impediment management and escalation processes.
• Enabling teams to become more self-organized, accountable, and end-to-end responsible along the value streams.
• Individual coaching of key people (Product Owners, Chapter Leads, Scrum Masters) to strengthen their impact in the transformation program.
• Organization-wide identification, planning, and implementation of process, structure, and tool improvements to sustainably increase efficiency, throughput, and value creation.
• Close support for Product Owners in stakeholder management, business value prioritization, product strategy, roadmap planning, and effective collaboration with development teams.
• Introducing, governing, and scaling Azure DevOps as the central project and product management tool, including coaching the organization on usage, reporting, and alignment at all levels.

Achievements:

• Clear increase in visibility, transparency, and perceived value creation of the development teams within the overall organization.
• Noticeable improvement in communication between development, business, and other stakeholders.
• Optimization of work processes, workflow, and backlog structures, which reduced lead times, sharpened priorities, and sustainably increased team effectiveness.

Cyber Trust Austria Silver Certification

• Led application and implementation of the Cyber Trust Austria Silver label (KSV1870 Cyber Risk A-Rating; 25 validated controls)
• Mapped and fulfilled requirements covering risk management, incident response, access control, vulnerability and penetration testing, BCM, and supply-chain security, aligned with ISO/IEC 27001/27002 control themes and NIS 2 / NISG 2026 expectations
• Coordinated stakeholders, compiled audit evidence, and completed KSV1870 validation

• Built Enterprise Architecture practice covering business, application, data, and integration layers
• Created a multi-year Integration Strategy, delivering annual cost savings of several hundred thousand euros
• Defined portfolio simplification roadmap, identifying redundant systems and cost reduction opportunities
• Designed target-state enterprise architecture around D365 FSCM, enabling a best-of-breed future landscape
• Developed Master Data Management (MDM) strategy and roadmap to improve data quality and operational efficiency
• Provided enterprise-wide architectural direction ensuring alignment and eliminating redundant initiatives
• Established reusable architecture patterns adopted by delivery teams
• Facilitated cross-functional architecture forums to align product and delivery teams
• Translated enterprise architecture guidance into practical delivery decisions
• Drove practical adoption of architecture guidance across initiatives rather than acting as a gatekeeper
• Identified redundant systems enabling substantial cost reduction potential
• Enabled cost transparency in integration landscape
• Enabled fact-based investment prioritization decisions

• Support for the introduction of new digital exchange and communication structures as part of an organization-wide transformation project
• Conception, setup, and operational management of Viva Engage communities within the intranet as part of the rollout of new digital exchange and communication formats
• Planning and support of the pilot phase and the initial operational phase, including feedback and optimization loops
• Onboarding and enablement of employees and leaders in the use of new digital exchange formats
• Development of change management and activation measures to drive participation and adoption
• Moderation of discussions and creation of guidelines, FAQs, and netiquette
• Editorial and content strategy, including leadership communication
• Adaptation and implementation of central concepts and communication guidelines to organization-specific requirements
• Monitoring, reporting, and derivation of optimization measures
• Coordination with IT, data protection, communications, and business units

• Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
• Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
• Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
• Optimized LLM based data extraction and classification with context engineering.
• Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.

• Focus on digital transformation in the energy and mobility sector, including SAP R3 transition to S/4HANA
• Project management and requirements engineering in the energy sector (workshops, requirement specification creation, process development)
• Advice on the mobility strategy for public transport/transport of Stadtwerke Wien
• Development of digital strategies for after-sales program at Daimler-Benz

• Business analysis
• Requirements engineering
• System design
• Various insurance projects
• Technology stack: msg.Billing (InExkasso)
• Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI