Human supervision, AI governance, complete audit trail and human-in-the-loop on every agent. The question every business manager asks before adopting AI isn't "does it work?" — it's "if it does something wrong, will I notice? can I stop it? can I understand why?". The answer must always be yes.
Supervision features are already operational within individual active agents (step approval in Outreach, conflict detection in Knowledge Base, transparent scoring in Lead Generation). A dedicated agent — Orchestrator — that centralizes proactive monitoring, unified supervision and control of all client agents in a single interface is currently in development and is part of the AI Evolution roadmap.
Companies don't fail at AI adoption due to lack of technology — they fail due to lack of AI oversight and operational control. Those who must sign off on internal adoption cannot do so without knowing exactly what the agent does, how it does it, and what happens when it makes a mistake. AI accountability is not a technical topic: it is an organizational prerequisite.
Not all processes require the same level of human supervision. A standard follow-up can run automatically; a high-value commercial proposal requires your eye. AI Evolution's human-in-the-loop model adapts to every operational context.
A supervision system that requires continuous manual checking doesn't scale. The correct model is the reverse: the system monitors in the background and notifies you only when your intervention is needed.
AI compliance is not added after — it is designed from the start. Every deployment is born with requirements built in: human supervision, AI risk management, technical documentation and registration of automated decisions.
Yes. Every agent can be paused or stopped from the dashboard at any time, without losing context. Planned actions not yet executed are blocked. Actions already executed remain in the viewable log.
Every agent operates within defined perimeters. In case of anomalous output, the system generates an alert and escalates to human supervision before proceeding. The complete log allows identifying the cause, correcting the behavior and updating operational rules. Errors do not repeat silently.
Yes. The audit trail records not only what the agent did, but also what data it was based on and what reasoning it applied. It's not a black box: every decision is traceable and explainable.
Yes, in "review" and "suggestion" modes. Content generated by the agent is presented in the approval queue where you can freely modify it before approving it. The final version sent is always the one you approved.
AI Evolution agents generally fall into the limited or minimal risk category. For high-risk systems we apply the required measures: technical documentation, mandatory human supervision, registration of automated decisions. We follow regulatory developments and update deployments accordingly.
Operational responsibility remains with the client: the agent acts on behalf of the company, not autonomously. AI Evolution is responsible for the technical correctness of the system. The contract clearly defines perimeters, operational limits and escalation procedures.
Yes, by law. Anyone interacting with an automated system must be informed. For AI customer care, this translates into a clear statement in the interface. We support you in drafting all necessary documentation — privacy notices, DPA, DPIA.
Log retention is configurable based on client compliance requirements and applicable regulatory requirements. By default, operational logs are retained for 12 months. For sectors with specific longer retention obligations, the configuration is adapted during setup.
Supervision is not an on/off switch — it's a journey. Some features are already operational in individual agents. Centralized monitoring and unified kill switch functions will arrive with the Orchestrator, the coordination agent currently in development.
We show the audit trail and controls on a real case. No commitment.