Gerold Utsch
Core Competences
Gerold has more than 25 years of experience in technology consulting, business transformation and complex program delivery. He started his career with Andersen Consulting and Accenture and has worked independently since 2006, supporting major organizations across financial services, insurance, automotive and other industries. His work spans the full transformation lifecycle, from strategy and operating models to implementation, governance and rollout.
Today, his primary focus is helping organizations move from experimenting with AI to using it productively at scale. He works at the intersection of AI strategy, transformation, knowledge and data management, governance and delivery, with a particular interest in Generative AI, RAG-based knowledge systems and AI agents. He combines a management perspective with enough technical depth to bridge the gap between business objectives, architecture and implementation teams.
Gerold has led large-scale transformation, migration and technology programs and has extensive experience in product ownership, agile delivery, quality engineering and stakeholder management at senior management level. Alongside his consulting work, he develops and evaluates new AI-based products and business models. He completed executive education at MIT's CSAIL (Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory) and holds certifications including Professional Scrum Master, Professional Scrum Product Owner and LeSS.
His particular strength is turning complex technology into a clear decision: where AI creates real value, what is required to make it work, and how to move from an idea to a sustainable implementation.
Featured Projects
AI & Robotics Use Cases – MIT Sloan / CSAIL
Developed and assessed AI and robotics use cases for a global facilities management company within the MIT Sloan/CSAIL program.
read more…RAG-Based Enterprise Knowledge Assistant
Designed RAG-based AI assistants that turn fragmented documents and expert knowledge into accessible, context-aware enterprise knowledge.
read more…Global Test Center of Excellence & AI-Assisted Testing
Established a global Test Center of Excellence and introduced AI-assisted testing, including AI-generated software test cases.
read more…As part of the MIT Sloan School of Management and MIT CSAIL Executive Program “Artificial Intelligence: Implications for Business Strategy”, Gerold developed and evaluated AI and robotics use cases for a global facilities management company.
The work focused on translating emerging AI capabilities into concrete enterprise applications: identifying suitable business and operational processes, assessing potential value and feasibility, and considering the organizational implications of introducing AI, automation and robotics at enterprise scale.
Rather than starting with technology in search of a problem, the approach focused on where AI and robotics could address real operational challenges and create measurable business value. The project laid the foundation for Gerold’s continuing focus on bridging AI strategy, business requirements and practical implementation.
AI Strategy & Use Case Development, AI opportunity assessment, business value analysis, Robotics & Automation
Gerold designed and developed concepts and prototypes for RAG-based AI assistants that make fragmented organizational knowledge accessible through natural-language interaction.
The solutions combine internal documents, structured information and expert knowledge with Large Language Models, semantic search and retrieval-augmented generation. The focus is not only on the underlying technology, but on creating a reliable end-to-end solution: from identifying and structuring relevant knowledge sources to retrieval architecture, user experience, access concepts and governance.
The work demonstrates how Generative AI can transform static document repositories into practical knowledge systems that support employees in finding information faster, preserving expert knowledge and making better-informed decisions.
AI Strategy & Solution Design, Generative AI, LLMs, RAG, Prompt Design, Knowledge Management
Gerold established and led a global Test Center of Excellence for a global corporation, creating a scalable quality engineering framework across projects, teams and delivery environments.
The initiative covered test strategy, governance, KPIs, test automation, regression testing, Shift Left and Continuous Testing, as well as the integration of quality engineering into agile and DevOps delivery models.
As part of the further evolution of the testing approach, Gerold introduced AI-assisted testing and explored the practical use of Generative AI for creating software test cases. This connected established enterprise quality engineering with emerging AI capabilities and provided a concrete application of Generative AI within the software delivery lifecycle.
The project demonstrates his ability to introduce new technologies within the governance, processes and operating model required for enterprise-scale adoption.
Global Test Lead, Generative AI, AI-assisted testing, test case generation, Test Automation, DevOps, CI/CD, SAFe, Continuous Testing, Quality Governance