The Challenge: Operators executed thousands of low-risk, repetitive standard changes across core domains manually, introducing human errors, delays, and thousands of hours of overhead.
The Solution: Built a MoP-aligned automation library that automatically raises Change Requests (CRs), runs automated pre/post-checks, executes the change, and handles notifications.
The Result: Dropped the average effort per standard CR from 45 minutes down to ~5 minutes, reduced manual touches by 75–100%, and unlocked up to 10,000 annual hours saved.
Network operations required executing thousands of routine, low-risk Standard Changes across Core, IP, OSS, and Private Cloud systems. Despite being pre-approved, manually processing these changes consumed vast engineering capacity (averaging 45 minutes per CR). This heavy manual involvement caused on-time completion rates to hover around 82% and diverted engineers from high-value tasks.
We recognized that repetitive, low-risk infrastructure updates shouldn't require manual human steering. By containerizing standardized Methods of Procedure (MoPs) into code, we could transition standard changes into an end-to-end, fully auditable, and automated loop that eliminates human intervention without introducing risk.
We deployed a unified standard change automation framework across all operational domains:
Change Governance: Leveraged BMC Helix ITSM to enforce templates, maintenance windows, calendars, and CAB rules.
Automation Orchestration: Used Ansible AWX to handle job chains for standard changes, inventory management, parameter libraries, and evidence capture.
Version Control: Standardized and cataloged operational MoPs inside Git CI/CD for rigid configuration version control.
Event Streaming: Implemented RabbitMQ or Kafka to stream real-time CR status events across the pipeline.
Validation & Reporting: Hooked status data into Splunk Core to package validation evidence, track success analytics, and generate compliance reports.
Notifications: Integrated an SMTP gateway to instantly email execution status directly to target distribution lists (DLs).