There are tasks that companies take for granted as part of the job: copying data from one system to another, downloading a report, pasting it into Excel and formatting it before sending by email, waiting for someone to approve a request that came in over WhatsApp. No one questions them because they have always been done this way.
The problem is not that each task takes a lot of time. The problem is that they repeat every day, across multiple people, week after week. And that accumulated time has a real cost that few companies calculate.
The most common manual tasks in mid-sized companies
- Transferring information from emails or forms into a system or spreadsheet
- Preparing sales, production, or inventory reports manually
- Approving requests by email or WhatsApp with no traceability
- Reconciling information between two systems that do not communicate
- Sending reminders or follow-ups to clients individually
- Classifying documents and filing them in folders
- Calculating commissions, bonuses, or KPIs using Excel formulas
- Manually verifying whether an order was processed correctly
How many of these are part of your team's daily routine?
How to calculate the real cost
The formula is simple:
Monthly cost = (minutes per task × times per day × working days × people) ÷ 60 × hourly cost
A concrete example: an administrative assistant who spends 45 minutes per day transferring data from emails to a spreadsheet, in a company with 3 people doing the same thing:
- 45 minutes × 22 days × 3 people = 2,970 minutes per month
- Equivalent to 49.5 hours per month
- At a cost of USD 12/hour, that is USD 594 per month
- Per year: USD 7,128 spent on a single repetitive task
And that does not include the errors that manual task can generate, or the time someone spends correcting them.
The hidden cost that does not appear in the calculation
Money is not the only cost. When the time of qualified people is consumed by mechanical tasks, you also lose:
- Analytical capacity. If the sales analyst spends two hours building the report, they have less time to analyze what the report says.
- Response speed. Manual processes create bottlenecks. When someone is on vacation or there is a workload spike, turnaround times increase dramatically.
- Information quality. Every time someone copies data by hand, there is a chance of error. Errors in reports or client records have real consequences.
- Team morale. Talented people do not want to spend their workday copying and pasting. Mechanical, repetitive tasks affect motivation.
When does automation make sense?
Not every manual task justifies an automation project. Here are the criteria for evaluating whether it is worth it:
- It repeats frequently. At least once a day or several times a week.
- It follows a predictable pattern. The rules of the process are clear and do not change often.
- It involves more than one person. The more people performing it, the greater the potential savings.
- It generates errors with impact. If an error in that task affects customers, finances, or compliance, automation also reduces risk.
- The information already exists in a system. If the data is already somewhere digital, it is easier to automate its processing.
What can be done with recovered time
Automating does not mean replacing people. It means freeing the time of people already in the company to do higher-value work.
The analyst who used to build reports can now interpret them and propose actions. The assistant who reconciled data can now serve clients better. The salesperson who prepared quotes by hand can now make more follow-up calls.
The first step: map the process
Before thinking about technology, the first step is to identify which tasks consume the most time in your company and what their real cost is. With that information, it is possible to prioritize what to automate first to achieve the greatest impact in the shortest time.
At Rubit we do that exercise with you in a free diagnosis: we review your company's processes, calculate the time lost to manual tasks, and show you what can be automated with software, artificial intelligence, or integrations — with an impact and effort estimate. No commitment required.