COLUMBUS, Ohio--(BUSINESS WIRE)-- Today, TeamDynamix introduced AI Service Assist, a powerful extension of its core IT Service Management (ITSM) platform that leverages AI agents with native integration and automation for faster resolution, lower overhead, and enterprise-wide agility. AI Service Assist rapidly delivers value by expanding the core ITSM capabilities without the baggage of legacy, AI-washed, developer-heavy approaches. Built on Microsoft Azure AI services, the solution pairs enterprise-grade data protection with scalable intelligence. Microsoft Azure AI services provide access to a variety of prebuilt models, fine-tuning, and vector search capabilities with deployment governed by Microsoft's cloud security protocols, including role-based access control (RBAC).
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Erica MAanning
Rod Mathews, CEO, TeamDynamix
“We’re not just sprinkling AI onto ITSM,†explains Rod Mathews, CEO of TeamDynamix. “We’re building and delivering an integrated ecosystem of AI service management agents that work together to drive results.†Technicians gain contextual insights, suggested resolutions, and automated knowledge creation while enabling end users to get better, faster service across the enterprise. With AI Service Assist, technicians can and spend less time triaging, while end users experience faster, more personalized responses. Initial customer testing resulted in substantial cost and time savings: 40-90% faster response times, 4-7 minutes saved per ticket and a reported accuracy hit rate of 80% for AI-resolved tickets.
“This is what modern IT Service Management looks like,†adds Mathews. “A few years ago, we went to market with our , bringing AI together with and to help end users get service faster. This , with many seeing ticket deflection rates of 30-60%. AI Service Assist is focused on the technician experience, helping them expedite resolution, increase customer satisfaction, and reduce operational toil.â€
AI-Powered ITSM Offers High Quality Technician Assistance
AI Suggested Response: Leverage multiple data sources to suggest resolutions
Intelligent Triage & Routing: Auto-classification and dispatching of requests based on context
Case Summarization: Automatic summaries of tickets and incidents for faster triage
Knowledge Suggestions: Surfacing related KB content and similar tickets instantly
Dynamic Content Creation: Using case insights, internal or external content
Reporting and Operations: Building reports, gaining insights, and identifying knowledge gaps
“W¾±³Ù³ó and working together, we’re giving technicians and end users access to an ecosystem of AI agents that not only deflect and but also improve the quality of service,†explains Andrew Graf, Chief Product Officer of TeamDynamix. “Our layer and AI agent ecosystem lay the groundwork to accelerate agentic AI with autonomous orchestration.â€
About TeamDynamix
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