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Automating the most visible, high-volume task often fails to improve overall workflow speed or reduce errors. The real gains come from targeting bottlenecks, not just what’s easiest to see.
Picture a mid-sized logistics company that decides to automate its most visible task: data entry for shipping manifests, something staff handle dozens of times a day. Three months later, the backlog hasn't moved. The slowdown was never there.
That scenario isn't unusual, and it points to a real problem in how businesses choose what to fix first. Many teams start by targeting the most visible, high-volume process, reasoning that frequency must equal impact. The logic feels sound, which is exactly why it's easy to miss where the actual gains are hiding.
Automating the busiest task is not always the best move for improving your business process, and in many cases it only makes a small dent in your overall efficiency. A recent survey found that 94% of small and medium-sized business workers spend time on repetitive, manual tasks. That figure confirms how widespread these tasks are, but widespread isn't the same as high-impact, and treating the two as interchangeable is where the strategy goes wrong.
What actually moves the needle is finding the true bottlenecks in your workflow rather than the loudest ones. The sections ahead walk through why the obvious starting point often underdelivers, and how to spot the choice that will.

The most visible, high-volume task grabs attention first for an obvious reason: it's the one everyone already talks about, the one filling dashboards and daily standups. Automating it feels like instant progress, since the change is easy to point to and easy to justify to a team or to leadership.
That same visibility, though, is what makes it a trap. High-volume tasks aren't automatically the ones holding up your workflow — plenty of them are already running smoothly despite their repetition. Pour budget and energy into automating a task simply because it happens often, and the real source of delays or errors can sit untouched right next to it. The task everyone notices is not necessarily the one that, once improved, unlocks the most value.
Getting real value from workflow automation means looking past surface-level activity toward the steps that slow down the entire process, not just the ones that occur most often. A single approval step that stalls for hours can throttle throughput more than a routine data-entry task ever could, even if that approval only comes up a few times a day — because everything downstream waits on it.
Once you focus on the true bottlenecks, the payoff shows up as a ripple effect across the whole workflow rather than an isolated improvement. That usually means starting with a task that doesn't stand out in volume at all, but that quietly governs how fast and how accurately everything else moves.
Businesses in Maryland face the same pressures as those elsewhere — tight budgets, growing workloads, and the need to stay competitive. Layered on top of that, though, are local regulations, industry standards, and team structures that shape which tasks make the smartest starting point.
A business bound by specific data-handling rules or approval processes stands to gain twice over by automating those steps: compliance risk drops, and staff time frees up for higher-value work. The right starting point still depends on the shape of that particular workflow, not on how many times a task repeats.
Finding the best entry point takes more than counting task frequency; it takes a structured look at the whole process. The steps below offer a way through that.
Lay out every step in the process from start to finish. A clear map shows exactly how tasks connect and where the delays actually accumulate.
Look for steps that hold up everything downstream, since these are rarely the most frequent tasks but almost always the ones with the biggest drag. The goal is to isolate the step everything else waits on.
Track down where mistakes happen most often and where corrections pile up. Tasks that generate frequent rework are prime candidates for automation, regardless of how often they occur.
Some steps carry outsized risk when handled manually, such as sensitive data handling or formal approvals. Automating these reduces costly mistakes alongside any compliance exposure.
Ask a simple question for each candidate step: if this were automated, how much faster would the whole process move? The steps worth prioritizing are the ones that shift the entire workflow, not just one isolated part of it.
Sometimes a small, easy change delivers an outsized result. Look for tasks that are simple to automate and will show clear, fast evidence of progress, even if they aren't the most visible ones.
Many workflow automation tools ship with templates and suggestions for common processes, and those can be a useful starting reference. They stop short, however, of knowing the specifics of any one business, which means relying on their out-of-the-box recommendations risks automating what's popular rather than what's actually effective. A tool's suggestion might look impressive in a demo while leaving the real pain point untouched.
The better approach treats these tools as support rather than as a guide. A team's own sense of where work slows down or where errors creep in carries more weight than any default setting the software offers.
Automating the wrong task doesn't just fail to help — it actively drains time, money, and momentum. The risks tend to show up in a few consistent ways:
The urge to automate the most visible, high-volume task is understandable, yet it rarely delivers the biggest gains. Real progress instead comes from a careful look at the workflow itself — one that surfaces the steps causing delays or errors, even when those steps aren't the ones anyone was watching.
Starting with the right task sets the entire automation effort up for lasting impact rather than a one-time demo win. What follows is a smoother, more reliable process that actually supports the team and the business goals behind it.

Many businesses with 15 to 200 employees feel pressure to automate quickly, but the first task you choose can shape your results. At Guru Consult, we understand how easy it is to get caught up in automating what’s most visible instead of what actually matters.
If you want to see how we help companies find the right starting point for automation, let’s talk about your current workflow and where you want to see real improvement.
Switch to Guru Consult, and we’ll buy out your current IT contract—up to 3 months—for qualifying businesses making the move.
Map the full workflow and look for steps that cause delays, errors, or require manual intervention. The best candidate is usually a task that holds up other work or creates extra effort downstream, not simply the one that happens most often.
Yes. Automating steps that involve compliance, such as approvals or sensitive data handling, reduces the risk of mistakes and helps maintain consistency with regulatory rules, which matters most for businesses in regulated industries.
Automating repetitive tasks removes manual effort from a given step, while automating bottlenecks improves the speed and flow of the entire process. Targeting bottlenecks tends to produce a greater overall efficiency gain.
Workflow automation tools make execution easier once the right steps are identified, but they work best as a follow-on to that analysis rather than a replacement for it. Treat them as support for a strategy already in place, not as the source of that strategy.
RPA suits structured, rule-based tasks well, but it isn't the right fit for every workflow. A simpler automation tool, or even a redesign of the process itself, sometimes produces better results.

Jason Huebner is the President of GURU and an eleven-year veteran of the company, having risen through the ranks by consistently delivering results and building strong relationships.