Belgium's National Employment Office, known as ONEM in French and RVA in Dutch, operates the Ori chatbot as part of its unemployment insurance information services. ONEM/RVA is a federal public social security institution responsible for determining eligibility for unemployment benefits, calculating benefit amounts, administering career break and time credit arrangements, supporting jobseeker reintegration, and maintaining nationwide service delivery through a distributed office network. The institution's organisational profile is documented by the European Social Insurance Platform, which describes ONEM/RVA as operating through 30 offices organised into 16 districts and governed through a federal public management structure.
Within that administrative context, Ori functions as a public-facing digital information channel rather than an automated decision-making system. ONEM's own 2025 service page describes the chatbot as a virtual assistant available continuously, twenty-four hours a day and seven days a week, to help users navigate information related to unemployment benefits and career break arrangements. The service is available in both French and Dutch, reflecting Belgium's bilingual administrative environment for this institution. Users can either type questions directly or move through guided prompts and suggested topics. That design indicates a conversational interface intended to reduce friction for citizens who need quick information outside office hours or before escalating to a staff member.
The verified source material supports several operational details that are important for classification. First, Ori is clearly deployed in production on ONEM's live service channels rather than being described as a pilot or internal prototype. Second, the chatbot is positioned as an information and communication tool, not as a mechanism for adjudicating claims, calculating entitlements, or issuing legally binding decisions. Third, ONEM has established a clear escalation path from automated assistance to human support. When the chatbot cannot resolve a user's question, it offers access to live chat with a staff member during business hours. This confirms that human support remains embedded in the service design and that the chatbot is used to triage and answer routine information requests rather than replace civil servants entirely.
The same ONEM source also documents important guardrails around the live escalation workflow. To connect to a live agent, users must provide identifying details through a form, but the staff member assisting through chat cannot make decisions online, cannot share sensitive case-specific information through that channel, and cannot access authenticated transactional services on behalf of the user in that interaction. In practice, this means the chatbot and related live chat function sit on the informational side of service delivery. They help explain procedures, point users toward the right next step, and reduce contact-centre pressure, while sensitive or determinative actions remain separated into other channels with stronger authentication and procedural controls.
The available evidence also supports a cautious interpretation of privacy safeguards. ONEM states that the chatbot itself does not collect personal data during ordinary interactions. The service therefore appears structured around low-risk informational exchanges, with personal data collection limited to the separate live-chat escalation form when a user chooses to contact a staff member. That separation is relevant because it shows how the institution distinguishes between general guidance and case-specific engagement. The service also promotes use of Belgium's secure e-box communication channel for authenticated exchanges with government authorities, reinforcing the division between public information access and protected official correspondence.
This case is therefore retained as a verified example of AI-enabled user communication in social insurance administration. Earlier coding combined Ori with a separate ONEM fraud-detection application described in inaccessible ISSA pages, but those unsupported claims have been removed from the case narrative, programme framing, and coded fields. What remains is the part of the case that can be substantiated from locally available source material: a bilingual, always-available chatbot with human escalation, explicit service limitations, and a clear role in improving citizen access to information about unemployment and career break rules.