LERNEN

Process optimization: Understand, simplify, automate.

Training, workshops and analyses for companies that want to use AI safely, make their data usable and improve processes with precision.

The starting point is your real workflow: What should become faster, better or more profitable?

Offers

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.

Understand first, then simplify, then automate.

Name the process. Choose the target. Find the constraint. Select the intervention.

Do we need prior AI knowledge?: No. We start with the real workflow and clarify terms where they are needed for a decision.
We already use AI. Is LERNEN still relevant?: Yes. Existing use is examined against the real process, human responsibility and documented boundaries.
Does this fit our industry?: Your concrete workflow is the starting point. Industry terms enter where they change the process, target or constraint.
Is this about specific AI tools?: No. The core path begins with the process, target and constraint. A tool becomes relevant only when the appropriate intervention is clear.
What does Article 4 of the EU AI Act require?: Providers and deployers of AI systems must take measures to ensure a sufficient level of AI literacy. No certificate or uniform course format is prescribed; the measures taken can be documented internally.
“Our processes are too complex for that.”: Most processes are not complex but complicated: many steps, yet each one can be traced. A complicated process can be mapped, simplified and then automated with precision. The size of your company is no reason to stop — it is the reason to start by understanding.
What remains after an engagement?: You retain the artifact named for the relevant offer as a working and decision basis.

Understand first, then simplify, then automate.

Write to us with the process or situation you want to clarify.