Accelerating IT Service Excellence Through Optimized ServiceNow Operations

A global leader in rare disease medicines operating across more than 100 countries struggled with manual ticketing, multiple incident handoffs, and underused self-service. Myridius delivered managed ServiceNow operations across ITSM and HR Service Delivery, cutting effort by 40 percent, accelerating SLA resolution, and establishing proactive monitoring at scale.

Key Outcomes

  • 40 percent reduction in operational effort through optimized workflows.
  • Accelerated SLA resolution with minimized incident hops.
  • Higher end-user satisfaction through proactive monitoring and insights.

Overview

A global leader in rare disease medicines, operating across more than 100 countries, relied on time-intensive manual ticketing, multiple incident handoffs that delayed SLA resolution, and underutilized self-service capabilities. Managing 550 to 650 monthly support tickets across its ServiceNow environment, the organization needed a more efficient, proactive operating model. Myridius delivered a managed services engagement spanning ITSM and HR Service Delivery, combining a dedicated support model, structured governance, and proactive operations. As a result, the organization achieved a 40 percent reduction in operational effort, accelerated SLA resolution through minimized incident hops, and improved end-user satisfaction through precise routing, transparency, and data-driven insights.

Client Context

The client is a global biotechnology leader focused on medicines for rare diseases, operating across more than 100 countries. Its ServiceNow environment underpins both IT service management and HR service delivery for a globally distributed workforce.

Reliable, responsive internal service mattered here because manual ticketing and repeated incident handoffs directly slowed SLA resolution and frustrated employees. What was at stake operationally was workforce productivity and experience, both of which influence the organization's ability to focus on its core mission of developing and delivering rare disease therapies.

The Challenge

The organization struggled with time-intensive manual ticketing, multiple incident handoffs that delayed SLA resolution, and underutilized self-service capabilities. Limited HR portal accessibility and inefficient administrative processes created operational bottlenecks that affected employee experience across a global footprint.

Consider a routine support request. It often passed through several hands before reaching the right resolver, each hop adding delay and eroding SLA performance. Employees who might have self-served instead opened tickets, and HR processes that could have been digital remained manual. Across 550 to 650 monthly tickets, these inefficiencies compounded into a meaningful drag on productivity and satisfaction.

Status Quo and Desired State

Before: Time-intensive manual ticketing
After: Optimized, automated ticketing workflows

Before: Multiple incident handoffs delaying SLA resolution
After: Minimized incident hops with accurate routing

Before: Underutilized self-service capabilities
After: Higher portal adoption and expanded HR self-service

Before: Limited HR portal accessibility
After: Accessible, digital HR service delivery

Before: Reactive issue handling
After: Proactive monitoring and trend analysis

Transformation Goals

The engagement focused on north stars that connected operational velocity to employee experience and proactive excellence.

  • Operational Velocity: Optimize ticketing workflows and minimize incident hops to accelerate SLA resolution while reducing manual effort by 40 percent.
  • Self-Service Enablement: Increase portal adoption and expand HR accessibility to reduce email traffic and administrative backlogs.
  • Proactive Excellence: Establish monitoring capabilities and data-driven decision-making through enhanced reporting and dashboards.

The Solution

Myridius executed a comprehensive managed services engagement combining operational excellence, proactive monitoring, and continuous improvement across ITSM and HR service delivery. The team orchestrated a dedicated support model, embedded governance and monitoring into daily operations, and reimagined how the organization prevented issues rather than reacting to them. The progression moved from deploying a dependable support and governance foundation, to embedding proactive monitoring and analytics, to reimagining a scalable, continuously improving service operation.

  • Orchestrated the foundation: Delivered a dedicated 16x5 support model with 24/7 on-call availability, handling 550 to 650 monthly tickets with guaranteed SLA compliance and accurate routing.
  • Embedded governance and monitoring: Implemented daily operational oversight, monthly performance reviews, and quarterly strategic planning, alongside trend analysis and system monitoring to catch issues before they reached users.
  • Reimagined the operating model: Used performance analytics and dashboards to drive continuous improvement, expand self-service, and establish a scalable foundation for future AI-driven automation and intelligent routing.

Governance and Trust

Because this engagement managed critical internal services for a global life sciences organization, governance and operational control were central. A structured cadence of daily oversight, monthly performance reviews, and quarterly strategic planning kept service delivery accountable and aligned to business priorities.

Guaranteed SLA compliance, accurate routing, and proactive monitoring built trust in the service operation, while reporting and dashboards gave leadership transparent, real-time visibility into performance. Delivered as a managed service with 16x5 support and 24/7 on-call availability, the engagement maintained continuous accountability for the organization's ITSM and HR service delivery environment.

Results

The managed services engagement transformed a manual, handoff-heavy support operation into a proactive, governed, and scalable service model. Employees experienced faster, more accurate resolution while leadership gained data-driven visibility into service delivery.

The result:

  • 40 percent reduction in operational effort through optimized workflows and automation, enabling swift query resolution with accurate routing.
  • Enhanced end-user satisfaction through precise ticket assignment, greater transparency, and faster resolution times.
  • Strategic enablement through enhanced reports and dashboards providing real-time insight into service delivery and a baseline for continuous improvement.

Before and After

The following shifts show how the engagement moved the organization toward embedded, proactive, and unified ways of working.

Ticketing

Before: Time-intensive and manual
After: Optimized and automated workflows

Incident Routing

Before: Multiple handoffs delaying resolution
After: Minimized hops with accurate assignment

Self-Service

Before: Underutilized portal and limited HR access
After: Higher adoption and expanded HR self-service

Monitoring

Before: Reactive issue handling
After: Proactive trend analysis and system monitoring

Decision-Making

Before: Limited service visibility
After: Real-time reporting and dashboards

Technology Stack

Core Platform

ServiceNow ITSM, ServiceNow HR Service Delivery
Manage IT and HR service requests on a unified platform

User Experience

ServiceNow Self-Service Portal
Enables employee self-service and reduces email and ticket volume

Analytics and Monitoring

ServiceNow Performance Analytics, Reporting and Dashboards
Provide proactive monitoring and data-driven service insights

Operating Model

Dedicated 16x5 support with 24/7 on-call
Delivers guaranteed SLA compliance and continuous coverage

 

In a global life sciences organization, every hour lost to manual ticketing and handoffs is an hour taken from the core mission. This case shows how a governed, proactive managed services model turns internal support into a source of productivity. This was not simply outsourced support. It was a shift to a proactive, continuously improving service operating model.

 

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