LERNEN

Offers

Situation, content, format, retained artifact and boundary are directly comparable for every offer.

AI literacy

Situation: AI is already in use or planned, but the team lacks a shared operating standard.
Content: Foundations, safe use, hallucinations and other limits, human responsibility, and documentation of the measures taken.
Format: In-house training for teams
Retained artifact: Documented training measure
Boundary: Training and internal documentation; no system implementation, individual legal advice, certification or compliance guarantee.

Situation: Relevant data and operational knowledge exist, but there is no shared view of sources, quality, gaps and ownership.
Content: Data quality and knowledge documentation as prerequisites for dependable AI use.
Format: facilitated workshop
Retained artifact: Data map and knowledge inventory
Boundary: Shared inventory and decision basis; no prototype or system implementation.

Situation: There is no reliable view of the current process, making work, waiting, handoffs and information loss difficult to see.
Content: Make the work sequence visible, identify bottlenecks and establish decision criteria for prioritization.
Format: facilitated on-site workshop
Retained artifact: Process landscape, bottlenecks and prioritization matrix
Boundary: Visibility and prioritization; no implementation roadmap or system build.

Situation: A usable process map and target exist, but the binding constraint and sensible implementation order are unclear.
Content: Structured analysis of the constraint, its operational effects and the order of possible interventions.
Format: structured analysis
Retained artifact: Prioritized roadmap
Boundary: Prioritization and implementation order; no process capture or implementation.