Building AI Assistants and Agents Without Coding training in Geneva · canton of GenèveDesigning an AI Assistant: What Level of Autonomy Should You Target?

Designing an AI Assistant: What Level of Autonomy Should You Target? — SHR, Geneva
Designing an AI Assistant: What Level of Autonomy Should You Target? — SHR, Geneva

Should an AI agent propose, decide, or execute? The question is not new: research on automation levels offers a proven decision grid.

A Delegation Scale

Raja Parasuraman, Thomas Sheridan and Christopher Wickens (2000, IEEE Transactions on Systems, Man, and Cybernetics) proposed a ten-level scale, ranging from minimal assistance to full autonomy, applied to four functions: acquiring information, analyzing it, deciding, and acting. Parasuraman, Sheridan & Wickens, 2000

The Right Level Depends on Consequences

The authors emphasize that the appropriate level varies according to task criticality: the more costly or irreversible an error is, the more decision-making and action must remain under direct human control. Complete automation is justified primarily for reversible and well-defined tasks.

Designing an AI Assistant: What Level of Autonomy Should You Target? — Geneva, Genève
Designing an AI Assistant: What Level of Autonomy Should You Target? — Geneva, Genève

What This Changes for a No-Code Agent

An assistant configured by a non-technical collaborator inherits the same trade-offs. Defining an agent's mission means explicitly choosing its levels for each function: searching and summarizing, yes; validating and sending, not necessarily. (our executive and employee training programmes)

The Limit of Enthusiastic Prototypes

A prototype that 'works' in a demonstration has not yet encountered edge cases. Without a testing phase on difficult examples — missing information, ambiguous instructions — deployment turns users into involuntary testers.

A Practical Implication, Verifiable in Geneva

In a team spanning international organizations, private banking, and trading firms, describe the first agent on a one-page sheet: mission, authorized sources, autonomy level per function, person who validates before sending. Then test on ten real cases, three of them intentionally difficult, before any deployment. An AI Training in Geneva structures this no-code framework. To go further: explore the Building AI Assistants and Agents Without Coding training in Geneva in the canton of Geneva, or browse our executive and employee training programmes in Switzerland. AI training in the canton of Geneva.

In pictures: Building AI Assistants and Agents Without Coding in Geneva

Building AI Assistants and Agents Without Coding training in Geneva — in practice
Building AI Assistants and Agents Without Coding training in Geneva — in practice
Building AI Assistants and Agents Without Coding training in Geneva — hands-on workshop
Building AI Assistants and Agents Without Coding training in Geneva — hands-on workshop
Building AI Assistants and Agents Without Coding training in Geneva — on the ground
Building AI Assistants and Agents Without Coding training in Geneva — on the ground