01
What shapes the company becomes usable.
Roles, rules, language, routines and experiential knowledge are captured so AI does not start from zero.
Field: Companies
AI should work in context, not just write text.
For that, a company needs to provide more than documents. NSC makes roles, rules and experiential knowledge usable, so AI can support work in the spirit of the organisation.
Foundation
Before AI can act, it needs to know what to follow.
Knowledge
Experience lives in people's heads, conversations, decisions, documents and established workflows.
Rules
What AI may do, where people decide and what must be documented is described clearly.
Tasks
Recurring work becomes clear processes that AI can carry out, returning the results to the organisation.
Working method
Organisational knowledge becomes work that AI can carry out.
NSC does not begin with the tool, but with the task: What should AI take on, which rules must it follow and what needs to flow back into the organisation?
02
Tasks get clear boundaries.
For each task, it is visible which sources count, which rules apply and when a person must decide.
03
AI works within a clarified frame.
AI can prepare and carry out tasks, check results and return them to the work.
04
The company learns with it.
What works, what is missing and where people intervene flows back into material, rules and the next tasks.
Foundation for task handover
RolesWho may decide what?
RulesWhat always applies?
SourcesWhat does the work rely on?
TasksWhat may AI take on?
AI prepares, carries out and returns results.
Possibilities
Where companies can begin.
Internal work
Recurring tasks are framed so AI can reliably prepare and carry them out.
Development
Roles, responsibility and collaboration become tangible, so AI can be embedded meaningfully into the work.
Decisions
Customer knowledge, product knowledge and experience become the foundation for better preparation and clearer handovers.
From our research and practice
Collaboration with AI needs deliberate design.
How do roles and responsibilities change when AI takes on tasks? Our research in higher education offers ideas that we help organisations translate into their own practice.
Conceptual contribution · 2025
How does AI change collaboration?
This article explores how universities can shape collaboration with AI through anticipatory governance. Questions of participation, responsibility and adaptable rules also inform our work with other organisations.
Partners or Tools? Anticipatory Governance for Human-AI Complementarity in Higher Education
Daniel Autenrieth, Jan-René Schluchter
Read publication
Zeitschrift für Hochschulentwicklung · 20(4) · 2025
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