Skip to content
Blog

Insights & Field Notes

Deep dives on infrastructure, security, and delivery.

Back to all articles
  • #ai
  • #service-desk
  • #microsoft

Blueprint for an AI-powered Service Desk

Blueprint for an AI-powered Service Desk

Reinventing employee support

Traditional IT service desks struggle with repetitive requests and long resolution times. AI-assisted support blends virtual agents, knowledge search, and human escalations seamlessly.

Platform building blocks

  • Microsoft Digital Contact Center Platform (DCCP) for omnichannel routing.
  • Power Virtual Agents (now Copilot Studio) to orchestrate conversational flows.
  • Copilot for Service to summarize cases and draft responses inside Dynamics or Salesforce.
  • Azure OpenAI Service hosting custom GPT models fine-tuned on your knowledge base.

Experience blueprint

Journey map from chat initiation to resolution

  1. User submits a request via Teams, email, or portal.
  2. Virtual agent triages, runs diagnostics (device checks via Intune APIs), and offers knowledge answers.
  3. If unresolved, the case escalates to a live agent with AI-generated context.
  4. Post-resolution feedback updates the knowledge base and model prompts.

Swap in a support demo or training clip.

Implementation milestones

  • Data curation: consolidate knowledge articles, SOPs, and device telemetry in a searchable index (Azure Cognitive Search).
  • Security + privacy: configure data loss prevention and redact PII before sending prompts to Azure OpenAI.
  • Adoption: run champions program, publish release notes, and capture satisfaction scores.

Metrics to watch

  • First contact resolution (FCR).
  • Average handle time (AHT) improvement.
  • Self-service deflection rate.

Wrap with a checklist download or service desk transformation workshop.