How to Be a Support Analyst in the Age of AI

The role of the support analyst is changing with generative AI. See how to adapt, which skills to develop and how to use AI on a daily basis with tools like GLPI + AI Assist.

AI won't replace the support analyst – but the analyst who uses AI will replace the one who doesn't. The role is changing: less repetitive typing, more analysis and decision-making.

What AI already does in support

  • Summarize tickets: threads with 50 interactions become a 3-paragraph summary
  • Suggest responses: based on history and knowledge base
  • Automatic triage: classify tickets by category and priority
  • Chatbots: resolve simple questions without involving a technician

In GLPI, the AI Assist module integrates OpenAI GPT and Google Gemini directly in the ticket.

What AI doesn't do (yet)

  • Diagnose complex problems with undocumented variables
  • Negotiate with frustrated users who need empathy
  • Decide when to escalate vs when to resolve with a workaround
  • Understand political/organizational context that affects the real priority

Skills to develop

Technical

  • Learn to use AI tools as assistants (effective prompts)
  • Specialize in niche areas (cloud, security, automation)
  • Understand ITIL and service management processes

Human

  • Clear and empathetic communication
  • Analytical thinking (root cause, not symptom)
  • Time management and prioritization

The analyst of the future

Less: copy/pasting standard responses, filling in fields manually, reading long threads.

More: analyzing patterns, proposing process improvements, using AI as a tool, solving what AI can't.

Frequently Asked Questions

No. AI will replace repetitive tasks (standard responses, triage, summaries), but the analyst will remain essential for complex diagnostics, human relationships and decisions that require context.

Tools like the AI Assist module from NexTool already allow you to summarize long tickets, suggest responses and analyze sentiment directly within GLPI, saving the analyst's time.

Analytical thinking, clear communication, process management (ITIL), the ability to use AI tools as assistants and automation, and technical specialization in niche areas.

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