How an Oil & Gas Enterprise Reduced IT Service Desk Tickets by 45% Through AI Automation

How an Oil & Gas Enterprise Reduced IT Service Desk Tickets by 45% Through AI Automation

An oil and gas enterprise cuts IT service desk volume by 45% and speeds resolution for employees by deploying AI automation to handle routine support requests.

At a glance

Success Highlights

  • 45% reduction in IT service desk tickets
  • 70% of routine requests resolved without human intervention

Related Services and Solutions

  • AI Roadmap
  • AI Adoption
Challenge

An oil and gas enterprise ran an IT service desk that was overwhelmed by routine, repetitive requests. Password resets, access requests, and common how-to questions consumed the bulk of the team’s capacity, leaving little room for the complex, higher-value work that actually needed human expertise.

The strain showed across the operation:

  • High ticket volume drove up costs and stretched the support team thin.
  • Employees waited in queues for simple issues that should have been resolved in minutes.
  • Skilled IT staff spent their time on repetitive tickets rather than complex, strategic work.

Looking to relieve the burden on its support team and give employees faster help, the client sought to automate the routine work flooding its service desk.

Solution

AIHugger partnered with the client to design and deploy AI automation for IT support, targeting the high-volume requests that consumed the most service desk capacity. Our approach centered on four pillars:

Ticket Analysis

  • Analyzed historical ticket data to identify the most common, repeatable request types.
  • Prioritized the requests best suited to safe, reliable automation.
  • Established a baseline of volume, cost, and resolution time to measure against.

Automation & Self-Service

  • Deployed an AI assistant to handle routine requests conversationally and around the clock.
  • Automated common resolutions such as access and password workflows end to end.
  • Connected the assistant to existing IT systems and knowledge sources.

Safe Escalation

  • Defined clear rules for when issues route to a human agent.
  • Preserved context on handoff so employees never had to repeat themselves.
  • Applied appropriate controls for sensitive and security-related requests.

Adoption & Improvement

  • Guided employees to the new self-service experience and built trust in it.
  • Monitored resolution quality and expanded automation to new request types over time.
  • Transferred the tools and methods so the team could grow the capability on its own.

By automating the routine and escalating the rest cleanly, the solution gave employees faster help while freeing the support team to focus where human expertise mattered most.

Outcomes

The automation reshaped IT support across the enterprise, turning a strained service desk into a faster, leaner operation:

45% fewer service desk tickets: Automating high-volume routine requests sharply reduced the load reaching human agents.

70% of routine requests self-resolved: The large majority of common issues were handled end to end without human intervention.

Faster help for employees: Around-the-clock self-service resolved simple issues in minutes instead of leaving employees waiting in a queue.

IT refocused on high-value work: With routine tickets handled, skilled staff redirected their time to complex, strategic support.

By automating the work that no longer needed a human touch, the organization made IT support faster and more efficient, setting a new standard for employee experience in the energy sector.

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