Digitalization Manager with AI Focus

Course overview

Digitalization managers with an AI focus plan and control the digitalization of processes and workflows - with AI as a central, but not the only component. The training combines traditional digitalization skills with the targeted use of AI where it contributes the most. The scope is broader than just the introduction of AI: it is about the interplay of processes, systems, data, and AI. Thinking Holistically About Digitalization - Process recording: capturing workflows, media breaks, and weaknesses - Differentiating digitalization levers: standardization, automation, AI - Target image and sequence: what gets digitalized first and why Using AI as a Component Effectively Not every gap needs AI - but some can only be closed by AI. - Suitability assessment: where language models and AI services provide real added value - Interaction of AI with workflow automation and specialized applications - Cost-benefit evaluation for each application case Planning and Controlling Projects - Digitalization roadmap with stages and measurable results - Responsibilities between departments, IT, and external partners - Managing budget, timeline, and dependencies realistically - Reporting progress and justifying course corrections Engaging People Digitalization rarely fails due to technology, often due to participation. - Involve affected parties early and take workplace concerns seriously - Organize training and support throughout the implementation - Make successes visible and anchor routines Data, Law, and Sustainability of the Solution - Data quality and data flows as prerequisites for effective digitalization - Incorporate data protection and internal rules into solution decisions - Operational and maintenance concepts to ensure solutions are sustainable Overview of the Tool Landscape The manager selects rather than builds everything themselves. - Classifying standard software, workflow platforms, and AI services - Combining existing systems with AI components like ChatGPT and Copilot - Leading selection processes with requirements, testing, and decision-making - Including licensing and contractual issues in tool decisions - Designing pilot-to-rollout transitions with clear criteria - Identifying duplicate solutions and consolidating the tool landscape - Demonstrating economic viability: making savings and quality gains verifiable - Completing the handover to regular operations with clear responsibilities The offering supports the structured planning, implementation, and anchoring of digitalization projects with an AI focus within the company.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Herzogenrath · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Virtuelles Klassenzimmer