We have an internal IT Support and AI Systems Administrator who keeps our automated workflows running, but we struggle to find objective weekly scorecard measurables for this seat that are not just binary uptime. What should we track?

Question

Tyler Smith · Accepted Answer

Measuring an IT and AI Systems Administrator requires moving beyond binary uptime metrics. If your systems are only down when something breaks, a scorecard that constantly reads one hundred percent uptime teaches your leadership team to ignore the seat until there is a crisis.

To make this back office seat accountable, you need to measure the efficiency and security of your digital infrastructure. This is especially true when running AI powered operations where system latency and data pipeline cleanups directly impact team productivity.

Start by tracking the weekly average resolution time for internal support tickets. This measures how quickly your team gets back to work when technology fails them.

Next, track the weekly percentage of automated workflows completed without error. If you are leveraging AI integrations to handle client data or drafts, you must monitor the rate of system exceptions that require human intervention.

Additionally, track your weekly cybersecurity vulnerability score or the percentage of employee compliance with security protocols. This might include tracking how many employees have completed their weekly phishing tests or security updates.

Finally, measure the progress of system optimization projects. For example, you can track the number of automated database cleanups completed or API integration milestones met. These leading indicators show that your IT administrator is proactively building a more valuable, scalable infrastructure rather than just waiting for things to break.