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AdmireTech developed a production-grade LLM chatbot for a leading cloud solutions company — eliminating manual IT support queues, enabling instant query resolution, and transforming internal helpdesk operations at scale.
The Requirement
Our client — a leading provider of multi-cloud solutions — faced a critical challenge: their internal IT support desk was overwhelmed. Employees submitted repetitive tickets for password resets, software access, VPN issues, and system troubleshooting.
The support team was spending the majority of their time on low-complexity, high-frequency queries — leaving no capacity for complex infrastructure work.
The Solution
AdmireTech designed and deployed a production-grade LLM chatbot that integrates natively with the client's IT knowledge base, ticketing system, and Microsoft Teams environment.
Using Retrieval-Augmented Generation (RAG), the chatbot retrieves contextually accurate answers from internal documentation — not generic internet data.
How It Works
Employee types a question in Microsoft Teams or the web portal. The chatbot identifies intent using fine-tuned NLP classification.
The RAG pipeline searches internal IT knowledge base, policy documents, and previous resolved tickets for relevant context.
The LLM generates a clear, step-by-step response grounded in retrieved documents — no hallucinations, no generic answers.
If resolved, the ticket is auto-closed. If not, an ITSM ticket is created and routed to the right agent with full context.
Features
Deployed directly in Microsoft Teams and as a web widget — where employees already work. No new tools to learn.
When an issue cannot be resolved autonomously, the chatbot auto-generates a structured ITSM ticket with full conversation context.
Fully embedded in the Teams environment, enabling collaborative troubleshooting and real-time IT admin monitoring.
Leveraging RAG, the chatbot retrieves contextually relevant information from verified internal sources — accurate, policy-aligned responses every time.
Walks employees through step-by-step solutions for common IT issues — VPN, software, hardware, and account access — using branched dialogue flows.
IT managers access real-time insights on ticket categories, resolution rates, unhandled queries, and chatbot performance.
The Outcome
The chatbot autonomously resolved the majority of incoming queries — password resets, access requests, software troubleshooting — eliminating the manual burden entirely for routine issues.
Employees receive consistent, policy-accurate responses in under 3 seconds — whether first query or hundredth. No more waiting in queue, no more inconsistent answers.
Efficient, always-available support transformed the employee service experience. 9 in 10 staff said it improved their daily productivity.
The chatbot operates continuously — delivering the same quality at 3am on Sunday as 9am Monday. Global teams finally had equal access to instant IT support.
Final Product
Tech Stack
AdmireTech builds production-grade AI products that solve real business problems — not demos that never ship.