I Automated Myself Out of 12 Hours a Week and I Have Zero Regrets
There is a particular kind of IT drudgery that accumulates so gradually you don't notice it until one day you look up and realize you have spent the last three hours copying data from one spreadsheet into another system by hand, like some kind of highly credentialed medieval scribe. That was the moment I decided enough was enough. Not because the work was hard, but because it was exactly the kind of work that exists for the sole purpose of being automated, and someone, somewhere, had simply never gotten around to it.
The first automation I ever built that genuinely changed my life was an offboarding workflow. Before it existed, offboarding a single employee was a seventeen-step manual process spread across four systems, three teams, and one shared document that everyone had edited into chaos. Licenses sat active on departed employees for weeks. Access lingered in systems nobody had audited since the previous administration. The security risk was measurable. The inefficiency was insulting. So I mapped every step, identified what could be triggered automatically, and built a workflow that collapsed seventeen steps into one ticket submission. The time savings were immediate. The look on the security team's face when orphaned licenses stopped appearing on their audit reports was priceless.
Here's what nobody tells you about automation: the hardest part is never the technical implementation. Low-code tools like Zapier, BetterCloud, and Power Automate have made the actual building part accessible to anyone willing to spend an afternoon with good documentation and questionable coffee. The hard part is convincing people that the process they have been doing manually for four years is actually a problem worth solving. There is a peculiar human attachment to manual processes that borders on sentimental. "That's just how we do it" is the most expensive sentence in any organization's vocabulary, and IT professionals hear it constantly.
The business case for automation is not complicated, but it needs to be made in a language leadership understands, which is money. When I reduced onboarding time by 85% at a previous role through BetterCloud automation, the conversation with leadership wasn't about elegance of workflow design. It was about $40,000 in annual labor savings and a measurable reduction in access-related security risk. Automation projects that get funded are the ones with a dollar figure attached to the problem they solve. Find the number first. Build the workflow second. Present both together.
The most satisfying part of a well-executed automation isn't the tool itself. It's the first week after deployment when the thing that used to consume hours of someone's attention just quietly happens in the background while that person does something that actually requires a human brain. Computers are extraordinarily good at repetitive, rule-based tasks. Humans are extraordinarily good at judgment, creativity, and navigating ambiguity. The goal of every automation should be to give more of the latter back to the people who are currently buried in the former. Twelve hours a week is a lot of human potential to leave on the table.
