Industry Insight
AI is not replacing IT support engineers. It is, however, making the ones who ignore it completely obsolete. Here's what the shift looks like from where we sit — and how we're adapting our 24×7 support operations.
Traditional IT support is fundamentally a queue system. A user raises a ticket → it's assigned → an engineer reads it → they ask 3 clarifying questions → they fix it. For simple issues, this is a 2–4 hour process. For anything cross-system, it can take days. And because humans handle it linearly, the 3AM P1 alert wakes up someone who spent 12 hours on calls the day before.
ML models on log streams catch performance degradation, error rate spikes, and unusual traffic patterns 10–30 minutes before a user notices something is wrong. This is the biggest shift — moving from reactive to predictive.
LLM-backed chatbots now reliably handle password resets, access requests, common error explanations, and runbook lookups — resolving 35–60% of L1 tickets without human involvement.
AI-generated incident summaries mean shift handovers take 5 minutes instead of 30. Context is never lost. The incoming engineer knows exactly what was tried, what failed, and what the working theory is.
For issues we've seen before, automated runbooks now trigger on detection — restarting services, scaling resources, clearing caches — resolving them in seconds rather than waiting for human intervention.
What We're Building Into Our Support Stack
The engineers aren't going anywhere. But the ones doing only ticket-reading and copy-paste remediation — that work is disappearing. What remains is diagnosis, architecture decisions, client communication, and the truly novel problems. That's where human expertise still wins, and where we're investing.
Interested in AI-augmented IT support for your organisation? Our managed support team now runs AI-assisted operations across 40+ client environments.
Talk to our support team →
— Team Dristi Technologies
www.dristitech.com
