If we have constructed our deployment pipeline correctly so that deployments are low risk, the majority of our changes won't need to go through a manual change approval process, because we will have placed our reliance on controls such as automated testing and proactive production monitoring.
One way to support an assertion that our changes are low risk is to show a history of changes over a significant time period (e.g., months or quarters) and provide a complete list of production issues during that same period. If we can show high change success rates and low MTTR, we can assert that we have a control environment that is effectively preventing deployment errors, as well as prove that we can effectively and quickly detect and correct any resulting problems.
Even when our changes are categorized as standard changes, they still need to be visual and recorded in our change management systems. Ideally, deployments will be performed automatically by our configuration management and deployment pipeline tools and the results will be automatically recorded.
We may automatically link these change request records to specific items in our work planning tools. This can be accomplished by including ticket numbers from planning tools in the comments associated with version control check ins.