Common questions about production AI in business.

An AI employee is a defined digital role for bounded tasks. It can use approved knowledge and tools, hand work over and escalate exceptions to people. The term does not describe a natural person or an employment relationship.

A conversational system typically responds to input. An agent can derive several steps from an objective, use approved functions and process work until handover. That ability to act requires roles, permissions and stop conditions.

Recurring, information-rich workflows with clear objectives and reviewable outcomes are strong candidates. Unambiguous rules are often better handled conventionally; AI can help with variable language, documents, research and contextual preparation.

Yes, when access is necessary for the task, technically supported and explicitly approved. Curated sources, role-based rights and data minimisation are appropriate. Not every system or document should be available by default.

Through clear roles, minimum permissions, allowed actions, approval gates, escalation paths and expert quality review. Critical steps can be blocked until an accountable person decides.

That is not WIESCHER Consulting's approach. Digital roles should handle routine work, research, documentation and preparation. People retain leadership, accountability, empathy, strategy and critical decisions.

Integration can generally be designed through appropriate approved capabilities in the existing environment. Whether it is viable and permitted depends on the process, licensing, permissions, data and security requirements of the organisation.

Often yes, where suitable interfaces or controlled handovers exist. Required data and actions, permissions, error cases and accountability are assessed first. A blanket integration promise would not be credible.

Cost depends on process scope, systems, data quality, integrations, risk and required approvals. A bounded analysis and pilot create a sound basis. We do not invent a one-size-fits-all figure without that context.

With a concrete business process and a named owner. Current-state analysis, value and risk assessment, solution design, a bounded pilot, expert testing and a deliberate scaling decision follow.

No. RAG can provide relevant sources and ground answers more effectively, but it does not guarantee correctness. Source quality, coverage, the request, permissions and expert review remain decisive.

When a step concerns sensitive data, has material consequences, creates legal or financial effect, evaluates people or touches safety risk. The precise threshold needs to be set for the specific process.