A global life sciences and manufacturing organization operates highly complex production environments where uptime, quality, and safety are non-negotiable. Like many modern enterprises navigating Industry 4.0, its operational technology (OT) footprint had grown rapidly across plants, lines, and control systems.
With this growth came a new reality: unplanned downtime carried significant risk, cyber threats targeted industrial systems directly, and Mean Time to Resolution (MTTR) was becoming harder to measure and improve. OT data existed across security tools, ERP systems, and plant-level platforms, but not yet within a unified operational system of action.
Leadership made a deliberate decision to change that. The organization set out to establish ServiceNow as the unified system of record and system of action for OT, bringing visibility, governance, and service management into a single enterprise platform.
As the transformation effort began, several structural challenges became clear:
Without a single, authoritative platform for OT, the organization faced:
The problem was not with the tooling, but rather with the orchestration
The organization engaged a specialized ServiceNow OT partner to implement the ServiceNow Operational Technology Management (OTM) suiteusing a structured, release-based delivery model.
This was not positioned as a single deployment. It was designed as a multi-release transformation program anchored in the partner’s OT IGNITE methodology, focused on:
The mission was explicit: create a governed, secure, and measurable OT operating model within ServiceNow, one release at a time.
Rather than pursuing speed at the expense of structure, the program followed a deliberate foundation-first design.
Access controls were architected around hierarchical industrial data, ensuring that site teams, central security groups, and enterprise leaders each saw only what they were authorized to see. Segregation was enforced not just at the record level, but down to attributes and value streams.
Structural victories:
Across all workstreams, the program followed a formal release cadence supported by:
Each major capability, like RBAC, OT CMDB, OT Asset Management, OT Vulnerability Response, and OT Service Management, was designed to be delivered as a distinct, production-ready release for a structured 38-week timeline.
Workshops defined a formal ISA-95 industrial hierarchy for sites, areas, and production lines. OT-specific configuration item (CI) classes, list views, and forms were designed directly into the CMDB.
Service Graph Connectors were configured to ingest OT asset data, establishing the backbone for operational technology.
Structural victories:
The program extended beyond visibility into full OT asset lifecycle governance. Asset states, procurement data, contract associations, stockroom workflows, and disposal processes were mapped and configured.
OT CI records were linked directly to hardware asset records to create a holistic lifecycle view that spanned finance, operations, and service.
Structural victories:
Risk scoring and remediation prioritization were defined based on business criticality , not just technical severity. Vulnerability data from industrial and enterprise scanners was integrated into ServiceNow to correlate threats directly with OT assets.
Custom dashboards and approval workflows were created to support real-world security operations.
Structural victories:
OT incident and change workflows were formally designed to align with manufacturing operations while retaining ITIL rigor. Differentiated SLAs, OT-specific playbooks, and a dedicated OT Service Portal were configured to ensure industrial issues could be tracked with the same discipline as enterprise IT.
Structural victories:
The program also formalized quantified success targets for the post-go-live phase, including:
These metrics now serve as operational truth tests for the platform as it moves from structural readiness into sustained execution.
This was a deliberate construction of an enterprise OT nervous system. Instead of bolting security, service, and asset data together after the fact, the organization chose to design governance, access control, and lifecycle intelligence into the platform from day one. The result is not simply better visibility. It is measurability, accountability, and control at an industrial scale.
The victory here is not yet in the numbers. It is the fact that the numbers can now be proven, trusted, and improved.