Automation Lists Aren't Strategy; IT Ops Deserves Real Goals

look, the TechTarget list of “tasks to automate today” does one big thing right: it gives teams a starting point when they’re too busy firefighting to think strategically. If you’re buried in tickets, a menu of obvious candidates — backups, patching, monitoring, provisioning — is a relief. You can scan it, circle three items, and ship something by Friday.

That early momentum matters. When teams first automate a few high-friction tasks, you see incident queues drop, response times improve, and people finally get a couple hours a week to think. That’s not theory; I’ve watched small IT shops transform their mood just by scripting basic provisioning and standardizing backup jobs.

Here’s what nobody tells you: that same list is dangerous if you treat it as a collectible set you “complete.” The headline frames automation as a count of tasks; the article reads like a checklist. That nudges teams into chasing coverage — “we automated all 21!” — instead of asking which automations actually change outcomes for customers.

Stop automating like you’re collecting trading cards

The problem isn’t the examples; it’s the missing decision framework.

Give me a break — automation isn’t a feel-good to-do list, it’s a bet: you’re trading upfront complexity for long-term reliability and speed. You need a simple cost-to-failure model before you start wiring scripts into production. What’s the expected time saved? How much error reduction do you expect? How will you know if incident rates change?

Without those questions, you end up automating low-value chores while the real pain points stay manual. Worse, you bake in opaque glue that nobody understands six months later.

The article quietly assumes “automation = ROI.” That’s the hidden premise that trips teams. Removing humans from a task doesn’t automatically create value; it just changes where the risk lives. Operations gets fewer tickets but more black-box systems. Developers get fewer manual steps but more brittle pipelines. Customers see nothing until an automated job misfires at 2 a.m. and nobody knows how to unwind it.

A better filter: pick tasks where you can demonstrate reduced toil and measurable reliability gains, not just where the work looks repetitive on paper.

You can’t script trust

Wake up. Once you move from “run this script” to “let this system make changes on our behalf,” you’re not just doing automation — you’re doing security and governance, whether you like it or not.

The checklist approach glances past that. It names common targets but doesn’t force you to answer the uncomfortable questions:

• Who owns the approval path for automated changes?
• How are secrets and credentials stored, rotated, and audited?
• After an incident, how do you reconstruct the chain of automated actions?

Automating privileged access or change management without strong audit trails just gives attackers and bugs faster legs. You haven’t made your system safer or smarter; you’ve made it fail faster and quieter.

Then there’s vendor lock-in. Many teams drop their automations into a single cloud provider’s native tools or a convenient SaaS workflow engine because it’s easy. Short-term, that buys you speed. Long-term, it quietly narrows your options on migration, pricing pressure, and even hiring. That’s not a neutral implementation detail; it’s a strategic choice with real switching costs attached.

People aren’t an “implementation detail”

Here’s what nobody tells you: the human side will blow up an automation program faster than any technical bug.

People will worry about job cuts or being left behind. Most responses to that are vague talk about “upskilling,” which, spare me, means nothing unless you actually reassign people to higher-leverage work and fund the transition. Effective automation shifts humans from pushing buttons to handling exceptions, designing architecture, and setting policy.

That shift requires:

• Training budgets that cover actual practice, not just slide decks.
• Clear role definitions so “automation owner” isn’t everyone and no one.
• Slack in the schedule so people can learn the new tools without doing two jobs.

TechTarget’s list is helpful in that it democratizes where to start, especially for small teams without architects or automation leads. But democratization without guardrails is how you end up with fifty one-off scripts, three half-finished pipelines, and no consistent logging across any of them.

Two tracks, not one checklist

The common defense of a pure checklist is, “Faster wins are still wins.” If your environment is drowning in manual work, that’s partially true. Quick automations do reduce tickets and improve morale. The mistake is stopping there.

From my operations years, the programs that actually stuck were built on two tracks:

• Track 1: Delivery. High-impact, low-risk automations with clear metrics, owners, and rollback plans.
• Track 2: Discipline. Shared governance, testing standards, and centralized observability so every automation is visible, debuggable, and auditable.

Every proposed automation goes through one simple gate:

1. What’s the worst reasonable thing that happens if this fails?
2. Who is explicitly on the hook to fix it?
3. How will we know, quickly, that something went wrong?

If you can’t answer those three in a sentence or two, it’s not ready for production, no matter how clever the script is.

The orchestration trap

Automating a single task is easy. Coordinating flows across tools, teams, and suppliers is where things get ugly. That’s the part the checklist underplays.

You’ll spend far more time dealing with handoffs and integration edges than with the scripts themselves unless you standardize interfaces and define ownership boundaries. Look at any company that went wild with chatbots for internal requests: the first win is delightful, then you realize HR, IT, and Finance all wired different back-ends, and nobody has a unified view of what’s happening.

The TechTarget piece is a decent prompt for “what could we automate,” but if teams treat it as “what we must automate,” they’ll rediscover an old lesson: checklists start the conversation; they don’t finish the design.