Job Title

We are seeking an experiencedAutomation Engineerto design and build acomprehensive, AI-driven customer support systemthat delivers 360° assistance to customers, subsidiaries, distributors, and internal teams — achieving amaximum 2-hour response timeandexceptional satisfactionacross all support channels. Objective Develop an intelligent support structure that ensures every inquiry — clinical, technical, sales, IT, or general — is efficiently managed, tracked, and resolved throughautomated or semi-automated AI solutions , utilizing existing human resources to minimize additional hiring. Current Challenges Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database). Lack of centralizedtechnical, digital, and lab supportcovering case planning, design, and validation. Delayed or missing responses togeneral, sales, and subsidiary inquiries . Distributors and partnersoften remain unsupported. IT-related issuesandpatient inquiries(e.g., seeking doctors while abroad) remain unresolved efficiently. Absence of data analytics , trend tracking, or AI-driven insights to guide sales, service, and product improvement. Support data arenot systematically stored or accessiblethrough Odoo or a unified platform. Project Goals Create afully integrated customer care ecosystemcombining automated, AI, and human-assisted support. Implementintelligent agentsfor self-learning FAQs, trend analysis, and monthly performance recommendations. Centralize all support data inOdoo , ensuring smooth coordination across departments and subsidiaries. Providereal-time support channels(messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists. Includecase planning assistanceandprosthetic solution guidancefor clinicians using the ROOTT Dental Implant System. Candidate Responsibilities Design, implement, and maintain anAI-powered automated support frameworkthat handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance). Build and manage acentralized knowledge baseenriched with dynamic, self-learning FAQ modules. Analyze support trends to generatedata-driven insights and corrective actions . Optimize existing workflows to deliver a2-hour or less response rateand ensure100% customer satisfaction . This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy — fast.