AI & Digitalization Manager with a Focus on AI and Automation

Course overview

An AI & Digitalization Manager plans and controls the digitalization of processes and workflows - with Artificial Intelligence and automation as central, but not the only components. The training combines classic digitalization skills with the targeted use of AI and workflow automation where they contribute the most. The scope is broader than just the introduction of AI: it is about the interplay of processes, systems, data, automation, and AI. Thinking Digitalization Holistically - Process recording: capturing workflows, media breaks, and weaknesses - Differentiating digitalization levers: standardization, automation, AI - Target image and sequence: what is digitalized first and why Using AI and Automation Components Correctly Not every gap needs AI - some can be closed with simple automation, some only with AI. - Suitability assessment: where language models and AI services provide real added value - Classifying workflow automation with platforms like n8n, Make, or Power Automate - Shaping the interplay 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 Involving People Digitalization rarely fails due to technology, often due to participation. - Involve those affected early and take concerns about jobs and roles 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 and automation - Incorporating data protection, EU AI regulations, and internal rules into solution decisions - Operational and maintenance concepts to ensure solutions are sustainable Overview of the Tool Landscape The manager selects instead of building 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 From Pilot to Regular Operation - 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 a focus on AI and automation within the company.

Upcoming dates

• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Herzogenrath · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-01-05T23:00:00.000Z · Aachen · Hybrid Learning

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