An organisational role for digital work
The term describes one or more agents handling a bounded assignment. Role, knowledge, tools, handovers and escalation are explicitly defined.
Names such as Invoice Agent or Research Agent describe digital functions, not natural persons or employment relationships.
Suitable work and explicit boundaries
Routine work, research, documentation, preparation and coordination are common areas. Leadership, empathy, strategy and critical decisions remain human responsibilities.
- specific objective
- reviewable outcomes
- necessary information
- named exceptions
- human approvals
The role needs a sound assignment before deployment
A digital role becomes productive through a defined business process, not through its name. Business owners set the input, expected output, permitted information sources, tools and handover points.
Both normal work and typical exceptions need to be testable with representative examples.
- business owner
- unambiguous scope
- minimum necessary rights
- quality and stop criteria
- escalation path to people
Control remains part of ongoing operation
Normal, difficult and undesirable cases are tested before launch. Outcomes, exceptions and changes to the process are then reviewed regularly by the relevant experts.
People need sufficient context and authority to reject an outcome, adjust rights or stop the digital role.
When a digital role is not the right solution
Without a clear process, dependable sources or a viable expert review, the role label would merely hide uncertainty. Stable, unambiguous rules may also be simpler and more controllable with conventional automation.
The choice should therefore follow the task, variability, consequences, data access and controllability, not a desire for maximum autonomy.
Source note
‘AI employee’ is used here as WIESCHER Consulting GmbH's organisational term for bounded digital roles. The risk guidance is based on NIST and BSI primary sources reviewed on 11 August 2026.
Primary sources
Official sources, editorially checked on 11 August 2026.
- AI Risk Management FrameworkNational Institute of Standards and Technology (NIST)
- Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1)National Institute of Standards and Technology (NIST)
- Generative AI Models: Opportunities and Risks for Industry and AuthoritiesBundesamt für Sicherheit in der Informationstechnik (BSI)