How an Oil & Gas Enterprise Automated IT Service Delivery With Motadata ServiceOps

IT service delivery automation is the practice of using technology to handle repetitive ITSM tasks -- ticket routing, asset discovery, change approvals, SLA tracking -- without manual intervention. It reduces human error, speeds up resolution, and frees IT teams to focus on work that requires judgment.

A 30,000-person oil and gas enterprise contributing to 75% of India's domestic production had a problem that wasn't coming from the ground. It was coming from their IT operations. Manual processes, disconnected legacy systems, and a complete lack of standardized service delivery were eating into the productivity of teams spread across dozens of offices and remote locations. Here's how they fixed it and what other large enterprises can learn from their approach.

Key Takeaways

• Legacy ITSM systems that rely on manual processes can't scale with growing enterprise operations. This oil and gas organization hit that limit across 30,000+ employees and multiple geographies.

• Motadata ServiceOps provided a unified, ITIL-compliant platform that replaced fragmented legacy tools with a single service desk and asset management solution.

• Automated ticket routing with a built-in load balancer eliminated manual assignment, distributing work based on expertise, priority, and technician availability.

• IT asset discovery through Active Directory and IP Range scanning replaced manual inventory tracking, giving the enterprise full visibility into hardware and software assets.

• Self-service knowledge management reduced L1 ticket volume by enabling employees to find answers independently.

• Centralized reporting and automated SLA tracking gave management real-time visibility into IT performance without requiring manual reports from technicians.

• The organization is on track to exceed the 50% reduction in service delivery time that previous Motadata implementations have achieved.

The Challenge: Manual IT Operations at Enterprise Scale

The oil and gas corporation had been operating for over 60 years. With that kind of growth comes complexity -- ancillary companies, global expansion, offices and branches spread across geographies, and teams working in some of the most challenging physical locations in the industry.

Their IT service operations reflected that complexity in the worst possible way:

Fragmented, manual processes: The enterprise platform hadn't kept pace with modern ITSM requirements. Technicians were completing repetitive tasks by hand -- tasks that should've been automated years ago. Resource allocation was bottlenecked because there was no intelligent routing.

No early issue detection: Without proactive monitoring or automated alerting, the IT team had no way to detect problems before they impacted operations. By the time an issue surfaced, it had already caused damage. Avoidable incidents were escalating into systemic problems.

Scale amplified every gap: In a smaller organization, manual processes are inconvenient. In an enterprise with 30,000 employees across multiple countries, they're operationally dangerous. Even minor IT issues -- a delayed ticket assignment, a missed SLA, an untracked asset -- compounded into significant productivity losses.

Security and hosting constraints: Due to the sensitive nature of their operations, the corporation required an on-premise solution accessible via web browser over LAN and WAN. Cloud-only tools were off the table.

The Solution: Motadata ServiceOps as the Unified ITSM Platform

The organization needed a platform that could handle their scale, meet their security requirements, and replace their patchwork of legacy tools with something that actually worked together. Motadata ServiceOps was selected for three reasons: ITIL compliance (PinkVERIFY certified for 6 processes), enterprise scalability, and the ability to deploy on-premise as a lightweight web application.

The implementation focused on two core modules: Service Desk and IT Asset Management.

Intelligent Ticket Routing and Workload Distribution

The first operational change was eliminating manual ticket assignment. ServiceOps' built-in smart load balancer automatically assigns tickets based on:

• Technician expertise -- matching the issue to the right skill set

• Priority level -- ensuring high-impact issues get immediate attention

• Availability -- routing to technicians who are actually available

• Current workload -- preventing overload and ensuring even distribution

The platform handles anywhere from 100 to 100,000 tickets. For an organization processing thousands of requests across dozens of locations, this capability alone removed a major bottleneck.

Location Scoping and Department Classification

With operations spread across the country, the corporation needed granular control over who sees what. ServiceOps' location scoping and department classification features let the IT team:

• Offer the ITSM platform to geographically distributed branches

• Control access by department, role, and location

• Maintain separate workflows where needed while keeping everything on one platform

User information from multiple branches was imported and synced through built-in Active Directory integration via LDAP -- no manual data entry, no duplicate records.

On-Premise Deployment With Mobile Access

ServiceOps was installed as a lightweight web application on the corporation's internal servers, accessible via LAN and WAN. For field workers and employees in remote locations, a mobile app provided the ability to raise requests, track status, and communicate with technicians without needing a desktop.

IT Asset Management: Gaining Visibility Across the Enterprise

With operations spread nationally, the corporation had no reliable way to track its IT assets. Hardware and software were scattered across offices, branches, and field locations. The result: license compliance risks, underutilized assets, uncontrolled costs, and security gaps.

Automated Asset Discovery

Using ServiceOps' Asset Management module, the team discovered and identified all active and inactive assets using two methods:

• Auto-discovery through Microsoft Active Directory and IP Range Networks -- for assets connected to the corporate network

• Agent-based discovery -- for assets outside the network perimeter

Centralized CMDB

Once discovered, every asset was cataloged in ServiceOps' built-in CMDB (Configuration Management Database). The CMDB provided:

• Complete asset details: ownership, location, configuration, warranty status, maintenance history

• Visibility into relationships and dependencies between assets

• A single source of truth for hardware, software licenses, and configuration items

By the end of implementation, the organization could answer questions they'd never been able to answer before: What do we own? Where is it? What's its configuration? When does it need updating? Is it being fully utilized?

The service desk was deeply integrated with asset management, so technicians could relate tickets directly to specific assets for better tracking and root cause analysis.

Change Management: Bringing Structure to IT Changes

Before ServiceOps, the corporation had no standardized method for capturing and managing IT change requests -- application updates, patches, OS upgrades, firewall rules, configuration changes. Changes happened ad hoc, with no formal approval process and no rollback plan.

ServiceOps' change management module gave the organization:

• Structured change models for planning, tracking, and implementing changes

• Defined approval workflows based on rules, historical data, and organizational hierarchy

• Rollback processes that could be triggered if a change caused unexpected issues

• Impact assessment that helped teams develop patches and solutions with minimal disruption

The shift from uncontrolled to managed change meant fewer change-related incidents, faster approval cycles, and a clear audit trail for compliance.

Self-Service and Knowledge Management: Reducing Ticket Volume

Many of the corporation's 30,000 employees worked in remote or challenging locations. The organization wanted to make sure those employees could solve common, low-level IT issues on their own without submitting a formal ITSM request.

Motadata's knowledge management module became the go-to resource:

• Employees accessed a self-service portal to search for solutions to common issues

• A search-first approach (modeled on familiar search engine patterns) made finding relevant articles fast and intuitive

• Support technicians published detailed step-by-step resolution guides and linked articles to common ticket categories

The result: fewer L1 tickets, faster self-resolution for routine issues, and technicians freed up to focus on problems that genuinely required their expertise.

Reporting and SLA Management: Data-Driven Decision Making

Before ServiceOps, generating a performance report was a manual exercise. Technicians had to create reports by hand and send status updates on top of their daily workload. Management had no standardized KPIs and no way to measure service delivery trends.

ServiceOps changed that with:

• Customizable and built-in reports covering KPIs like SLA adherence, average ticket resolution time, and ticket volume trends

• Role-based report access -- reports were restricted by geography and organizational hierarchy, ensuring the right people saw the right data

• Automated SLA tracking with breach notifications, so management could monitor service performance from the platform itself without chasing technicians for updates

The management team gained what they'd been missing: the ability to oversee operations at scale while maintaining granular visibility into individual technician performance.

Results and Impact

By the end of implementation, the ServiceOps platform had achieved its intended scope. But the real measure of success is operational impact:

Previous Motadata ITSM implementations have helped clients cut service delivery time by 50%. This enterprise, given its scale, is tracking toward exceeding that benchmark.

Lessons for Large Enterprises Considering ITSM Automation

1. Start with the pain points that scale worst. Manual ticket routing and untracked assets cause disproportionate damage in large organizations. Automate those first.

2. On-premise deployment doesn't mean sacrificing capability. ServiceOps delivered the same feature set on internal servers that cloud deployments offer, meeting strict security requirements without compromising functionality.

3. Self-service pays for itself. In organizations with thousands of employees in distributed locations, a knowledge base and self-service portal directly reduce support costs and improve employee satisfaction.

4. Unified platforms beat best-of-breed stacks. Connecting a service desk to asset management, change management, and a CMDB in a single platform eliminates the integration gaps that fragment enterprise IT operations.

Related Questions Teams Ask About IT Service Delivery Automation

How long does an enterprise ITSM implementation typically take?

It depends on scope, but a phased approach is standard. Most enterprises deploy core service desk functionality within 8-12 weeks, then layer in asset management, change management, and advanced automation over the following 3-6 months. The key is starting with high-impact modules and expanding based on adoption.

What makes ITSM automation different for oil and gas companies?

The biggest differentiators are geographic distribution (often including remote and hazardous locations), strict security requirements, and the need for on-premise hosting. Oil and gas enterprises also tend to have large, diverse asset inventories that require automated discovery rather than manual tracking.

How Motadata ServiceOps Supports Enterprise IT Service Delivery

Motadata ServiceOps is an ITIL-compliant, AI-powered platform that unifies service desk operations, IT asset management, and workflow automation. It's built for organizations that need enterprise scalability without enterprise complexity.

• On-premise or cloud deployment to meet security and compliance requirements

• Smart ticket routing with AI-powered load balancing

• Integrated CMDB and asset management for full infrastructure visibility

• Automated SLA tracking and reporting for data-driven operations management

• Self-service portal and knowledge management to reduce ticket volume

If your organization is dealing with the same challenges this oil and gas enterprise faced -- manual processes, fragmented tools, limited visibility -- Motadata ServiceOps can help you make the same shift.

Start a free 30-day trial to test ServiceOps with your own workflows, or request a demo to see how it handles enterprise-scale ITSM.

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