Nearly half of IT support requests now happen after hours

2026-04-30 · Source: Dataconomy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Fundamental Awareness, quick

Summary

A Freshworks report indicates that nearly half, specifically 47%, of all IT support requests are submitted outside standard business hours, a phenomenon termed the "ghost shift." This trend is driven by hybrid work models, with weekend submissions alone accounting for 35% of weekday volumes. Most after-hours requests are routine, such as password resets and MFA unlocks, with escalation rates consistent at 6-8%. Despite similar request volumes, IT staffing levels decrease during these periods, leading to a 2-5 percentage point drop in SLA resolution rates. This creates vulnerability windows for critical issues and increases pressure on IT staff, who often manage informal channels like Slack in addition to formal tickets. Companies are exploring AI-powered self-service solutions to address this demand without substantial personnel increases.

Key takeaway

For IT Directors managing hybrid workforces, the significant volume of after-hours support requests necessitates a strategic shift. Your team faces increased pressure and potential security vulnerabilities due to reduced staffing during these "ghost shifts." Consider deploying AI-powered self-service solutions to handle routine tasks like password resets, ensuring faster resolution times and freeing up your personnel for critical issues during peak demand.

Key insights

Nearly half of IT support requests occur after hours, driven by hybrid work, impacting SLAs and increasing vulnerability.

Principles

• Hybrid work shifts IT demand.
• Routine tasks dominate after-hours requests.

In practice

• Implement AI for self-service IT.
• Monitor informal support channels.

Topics

• IT Support Requests
• After-Hours Support
• Hybrid Work
• Service Level Agreements
• AI Self-Service

Best for: CTO, VP of Engineering/Data, Director of AI/ML, IT Professional, Operations Professional, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.