AI Agents in the Occupational health services

An AI Agent only truly becomes valuable when it draws from the systems you work in every day. Conversed.ai can be connected to the occupational health physician's file or EHR, the absenteeism system, and the ERP or CRM environment where contracts, service packages, and clients are recorded. From that moment on, the agent answers questions based on the actual situation: which package an employer has purchased, which consultation hours are scheduled, in which phase of the absenteeism process a file is located. We build such integrations in phases and always within the boundaries you set yourselves, because you determine which fields are unlocked and which are explicitly not. This way, the agent grows along from general information provision to concrete, file-specific support.

In occupational health services, the right answer depends on who is asking the question. An employer is allowed to know *that* an appointment has been scheduled, but not what was discussed during the consultation with the occupational physician. In certain situations, an employee is not allowed to reschedule an appointment themselves while the employer can, or vice versa. In practice, this nuance leads to inconsistencies: one customer service team member gives a different answer than another, which leads to frustration and sometimes discussions about privacy. As soon as the AI Agent is connected to your source and authorization systems, these rules of the game can be defined once and then applied consistently. The agent determines which role it is dealing with and adheres to what that role is allowed to view or modify. What may and may not be shared thus becomes a property of the system instead of an assessment per conversation.

Health data of workers is among the most sensitive data in existence, and the separation between what an employer is allowed to know and what remains with the occupational health physician is established by law. Conversed.ai is ISO 9001 and ISO 27001 certified and operates in accordance with the requirements of the GDPR and the European AI Act. Personal data is pseudonymized before being processed, and we operate on the principle that directly identifiable data is kept out of the language model as much as possible. Names, citizen service numbers (BSN), dates of birth, and medical details are replaced with references wherever possible or handled within the source systems themselves, so that the model only sees what it truly needs in order to help. Data minimization is therefore not an afterthought, but the starting point of the design.

The shortage of occupational health physicians is the sector's bottleneck: waiting times are increasing, while rapid intervention makes all the difference in an absenteeism process. Scarce specialist time must therefore go toward the consultation rather than peripheral work. An AI Agent can ask intake questions in advance and prepare the answers in a structured format, allowing the consultation to start on substantive matters. Afterward, the agent handles standard questions that would otherwise end up back with the physician, and helps with following up on advice and appointments. Simple triage is also possible: which reports can be handled by a case manager or practice assistant and which truly belong with the occupational health physician. In this way, available capacity is deployed more targetedly without changing the quality of the assessment.

A large part of the telephone traffic at an occupational health and safety service is not about content, but about scheduling: confirming or rescheduling an appointment, providing a location, or asking what time the consultation was again. Our AI agents take over these requests via chat, email, and voice, even outside office hours, and handle them immediately within the rules you have set. Automated reminders reduce the number of no-shows, which directly saves lost consultation time. Requests that cannot be handled automatically are forwarded to the appropriate employee with full context, so no one has to start a conversation all over again.

Occupational health services rarely have a clear picture of what is truly on the minds of the employers and employees they serve. Signals come in as isolated complaints, or they do not reach you at all. The Customer Intelligence dashboard from Conversed.ai turns this into a single, cohesive overview. Every conversation conducted by the AI Agent is classified by topic and sentiment, allowing you to see at a glance what people are satisfied with and where the friction lies. Think of persistent irritation regarding logging into the employer portal, appreciation for the accessibility of the occupational physician, or a clear increase in dissatisfaction surrounding reporting absenteeism since a procedural change. You can see which topics are emerging, how they develop week over week, and where they are concentrated. The analysis is performed in an aggregated and anonymized manner, allowing you to steer based on patterns without touching individual files or persons. This is how the AI Agent also becomes a permanently listening ear for your entire service delivery.

An AI Agent is not just for employees and employers. Within the occupational health and safety service itself, it answers colleagues' questions about employment conditions, schedules, IT issues, and internal work instructions. New case managers and customer service team members can be deployed faster because they have a conversation partner who knows the procedures, protocols, and systems and can guide them through a file step by step. This relieves the pressure on HR, IT, and experienced colleagues, and shortens the onboarding period in a market where good people are scarce and staff retention matters greatly.

Launching an AI Agent is the starting point, not the end point. With the AI Optimization Studio from Conversed.ai, your organization stays in control of the agent's behavior and performance. You can see in real-time which questions are coming in, how often they are handled correctly, and at which points a conversation is still transferred to a human agent. With Train AI, your own specialists can fine-tune the agent with precision: they review answers, make corrections where necessary, and those corrections are immediately incorporated into the agent's behavior. This way, accuracy is built step-by-step by the people who know the field, and quality remains measurable rather than an assumption.

An AI agent is only as good as the knowledge it draws from, and in occupational health and safety services, that knowledge is constantly changing: legislation is updated, protocols are revised, and every client has their own specific agreements. Conversed.ai helps build and maintain a structured knowledge base that serves as the foundation. Thanks to Retrieval-Augmented Generation (RAG), the agent responds exclusively based on your approved and up-to-date documentation, without fabricated or outdated information. With our AI Trainer Certification Program, we train employees within your organization to manage content themselves, adjust answers, and allow the agent to evolve with changing regulations. The knowledge thus remains in-house.

Regarding long-term absenteeism, occupational health services constantly receive the same questions. When must the problem analysis be ready? Who draws up the plan of action and how often must it be evaluated? What happens during the first-year evaluation and when does the WIA application start? Our AI Agents answer these types of questions about the Gatekeeper Improvement Act in understandable language, tailored to the person asking: an employee receives an explanation of what is expected of them, an employer about their own obligations and the risk of a wage sanction. In addition, they explain your own internal processes, such as reporting absence, requesting an occupational expert assessment, or submitting an expert opinion, including references to the correct forms and portals.