Internal workshops
Sessions aimed at improving day-to-day productivity and helping teams apply AI to recurring or manual tasks. This includes identifying opportunities for internal tools, add-ons, process improvements, and new product ideas.
Beyond individual projects
Workshops, enablement, mentoring, and professional exchange around applied AI, data, enterprise systems, and implementation readiness.
Workshops are used to move from abstract AI interest to concrete use cases. The focus is on understanding systems and processes, assessing data and feasibility, identifying value potential, and defining realistic next steps toward prototypes or implementation.
Sessions aimed at improving day-to-day productivity and helping teams apply AI to recurring or manual tasks. This includes identifying opportunities for internal tools, add-ons, process improvements, and new product ideas.
Customer-facing workshops focused on existing systems and business processes. The goal is to identify optimization potential and design AI solutions with measurable impact, realistic feasibility, and clear implementation responsibility.
Clarifying the problem, expected value, affected process, users, constraints, and success criteria.
Connecting management goals, IT requirements, domain knowledge, development effort, compliance, and project execution.
Supporting teams through mentoring, supervision, feedback, and structured exchange around practical AI work.
Experience with SAP Business AI topics is treated as part of broader enterprise AI implementation work: identifying realistic use cases, understanding system boundaries, connecting AI capabilities with business processes, and preparing organizations for responsible adoption.
Ongoing participation in selected AI, data, and enterprise technology events to exchange practical experience and stay close to emerging patterns in applied systems.
Mentoring and supervision are part of keeping teams effective and building capability over time.
Task planning, feedback, and guidance for team members working on applied AI and data topics.
Support for internships and thesis topics with a focus on data, AI, implementation feasibility, and practical outcomes.