Case Study

AI IT Support Chatbot & Helpdesk Ticketing Automation

A rapidly expanding mid-sized enterprise was buckling under a mounting volume of IT support requests that their internal team could no longer manage efficiently. Troubleshooting lacked structure, tickets piled up without tracking, and repetitive queries buried the support staff, causing extended downtime and plummeting productivity. To resolve these operational bottlenecks, they partnered with Artesian Software Technologies to engineer an intelligent virtual agent capable of automating everyday IT support.

We developed an AI-powered Virtual IT Support Agent using Microsoft Copilot Studio. This intelligent chatbot guides employees through self-service troubleshooting, automatically escalating unresolved issues into structured support tickets. Powered by Power Automate, SharePoint, and Office 365 Outlook, the system routes tickets by priority and delivers real-time status updates, drastically reducing manual IT workloads and ensuring a smarter, faster support experience.

AI Platform

Microsoft Copilot Studio

Automation

Power Automate

Document Storage

SharePoint

Notifications

Office 365 Outlook

AI Engine

Generative AI (NLP)

The Challenge

  • Frequent IT Disruptions: Unstructured reporting for hardware and software failures caused severe business workflow disruptions and extended downtime.

  • No Self-Service Troubleshooting: Employees lacked guided resolution paths, forcing direct IT intervention for even the simplest technical issues.

  • Overwhelmed IT Staff: The support team was buried under repetitive, low-level queries, delaying responses for genuinely critical outages.

  • Manual Ticket Tracking: The absence of automated ticket prioritization and routing left the resolution process chaotic and disorganized.

  • Zero Ticket Visibility: Employees had no real-time way to track their support requests, leading to constant, time-wasting follow-up emails.

Our Solution

  • Copilot Studio AI Chatbot: Deployed a conversational AI agent utilizing Natural Language Processing (NLP) for automated Tier-1 self-service troubleshooting.

  • Automated Ticket Generation: Engineered fallback logic to programmatically generate structured support tickets in SharePoint when issue resolution fails.

  • Priority-Based Ticket Routing: Implemented algorithmic categorization rules to automatically assign severity levels and route payloads to specific IT queues.

  • Power Automate Workflow Integration: Configured background Cloud Flows to synchronize SharePoint ticket states and dispatch asynchronous real-time updates.

  • Office 365 Outlook Notifications: Utilized the Outlook API to push automated SMTP status alerts directly to users, ensuring full lifecycle transparency.

Business Impact

  • 50% Reduction in IT Workload: Guided self-service troubleshooting intercepted minor issues, cutting support ticket volumes reaching the IT team by half.

  • 30% Faster Resolution Times: Automated routing and prioritization workflows enabled the IT team to resolve escalated issues noticeably faster.

  • Increased Employee Productivity: Faster issue resolution minimized system downtime, instantly boosting workflow efficiency across the enterprise.

  • High IT Support Transparency: Automated real-time Outlook notifications eliminated manual follow-ups and significantly improved employee satisfaction.

  • Scalable ITSM Foundation: The Copilot Studio and Power Automate architecture provides a robust foundation capable of scaling alongside workforce growth.

Client Testimonial

Whenever our staff had a tech issue, they’d send an email and just wait around, never knowing when it would get fixed. It was terrible for productivity. Now, they just chat with the AI assistant. Half the time, it helps them fix the issue right then and there. If not, it logs a ticket and sends them email updates automatically so they are never left in the dark. It’s made getting IT support completely painless for our whole company. — VP of Operations (Financial Services Firm)

Project Screenshots

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