A company can have skilled professionals, suitable tools and satisfied customers and still lose a significant amount of time because of inefficient processes.
In many cases, the problem is not a specific task but the way several tasks connect with each other. One person is waiting for information from another, an employee enters the same data into two systems, an approval remains pending or a process depends on a spreadsheet that someone has to update manually.
Identifying these problems before hiring more staff or adopting new tools makes it easier to make better decisions. The goal is not to digitise every process, but to understand where time, information or operational capacity is being lost.
What is an inefficient process?
A process is inefficient when it requires more resources, time or steps than necessary to achieve a particular result, or when it generates errors and problems that could be avoided through better organisation.
Inefficiency does not always mean that an employee is working slowly. It can be caused by a poorly designed process, information that is unavailable when needed, disconnected tools or decisions that require too many approval stages.
For example, preparing a quotation may be a straightforward task. But if it requires finding customer details in a CRM, checking prices in a spreadsheet, looking for terms in an old email and then entering the information into another system, the problem is not necessarily the person preparing the quotation. The problem is the process.
Signs that a process needs to be reviewed
Inefficient processes tend to leave clues in everyday work. Some are obvious, while others become normalised because the team gets used to working that way.
The same data is entered several times
If employees have to copy information from one system to another, there may be an opportunity for improvement.
This can happen with customer details, orders, products, invoices or support issues. Besides the time involved, entering the same information several times increases the risk of one system eventually containing different data from another.
Too many tasks depend on one specific person
When only one person knows how to perform a particular process, there is an operational risk. If that person is away, leaves the company or simply has too much work, the process may come to a standstill.
Individual experience is valuable, but an important process should be understandable, documented and, where appropriate, supported by tools that reduce dependence on manual procedures.
The team spends a lot of time checking statuses
Another common warning sign is the need to constantly check whether something has happened.
An employee checks whether an order has been processed. Another checks whether a customer has replied. Someone else reviews a list to see which tasks are still pending.
When a person only needs to intervene if something goes wrong, it may be more efficient for the system to generate an alert instead of requiring them to constantly review every operation.
Spreadsheets are being used to connect applications
A spreadsheet can be a perfectly valid tool for certain needs. The problem appears when it becomes the link between several systems that should already be sharing information automatically.
If someone has to download data every week, modify it and then upload it into another application, there is probably an integration or process-design issue worth investigating.
Look at the entire process, not just individual tasks
One of the most common mistakes when analysing efficiency is studying each task separately.
A task may seem reasonable when viewed in isolation but become unnecessary when considered as part of the complete process.
Imagine the process of managing a new customer:
- The customer completes a form.
- Someone receives an email.
- The information is entered into a spreadsheet.
- Another person creates the contact in the CRM.
- A folder is created manually.
- A welcome email is sent.
- The relevant sales representative is notified.
Each step may have a reason. However, some could be removed or automated. The form could create the contact directly in the CRM, generate a task for the relevant person and trigger an automated communication when appropriate.
That is why identifying inefficient processes requires looking at the complete journey of information from the moment an operation begins until it is finished.
Look for bottlenecks
A bottleneck is a point in a process that limits the speed at which the entire workflow can move forward.
It may be a person who has to approve every operation, a system that requires manual intervention or a task that cannot begin until certain information has been received.
The bottleneck is not always the step that takes the most time. Sometimes the problem is that it forces everything else to wait.
A simple way to identify bottlenecks is to ask the team:
- Which tasks are most frequently left waiting?
- Which process tends to accumulate work?
- What do you need from another person before you can continue?
- Which tasks have to be rushed at the end because they have been blocked?
- Which part of the workflow causes the most interruptions?
The answers often reveal problems that do not appear in official procedures.
Analyse where errors occur
Recurring errors are another indication that a process may be poorly designed.
Not every mistake is caused by a lack of attention. When the same type of error happens repeatedly, it is worth asking whether the process itself makes that error more likely.
For example, if an employee has to manually copy a reference number into three different systems, it is reasonable to expect that discrepancies will eventually occur.
In these situations, an improvement could involve eliminating duplicate data entry, automatically validating certain fields or connecting the systems involved.
The important question is not only who made the mistake, but what characteristic of the process allowed the error to reach the end of the workflow.
Calculate how much manual work each process generates
You do not always need a complex analysis. A useful first step is to estimate how much time the team spends on certain repetitive tasks.
| Warning sign | What it may indicate | What to review |
|---|---|---|
| Data entered several times | Lack of integration | Connections between systems and the main data source |
| Too many approvals | Overly bureaucratic process | Which approvals are actually necessary |
| Constant manual checks | Lack of alerts or automation | Notifications and exception handling |
| Recurring errors | Overly manual process | Validation and elimination of duplicate tasks |
| Dependence on one person | Lack of documentation or system support | Procedures and distribution of responsibilities |
The goal is not necessarily to calculate the exact cost of every minute, but to identify which processes are consuming a meaningful amount of the team's capacity.
Pay attention to waiting times
A company can have relatively fast processes and still provide a slow service because there are too many waiting periods between tasks.
For example, preparing a proposal may require only one hour of actual work but take several days because it needs three approvals and information comes from different departments.
In this situation, making the main task faster will not solve the problem. You need to review what happens between one stage and the next.
Reducing waiting times may involve reorganising responsibilities, establishing approval rules, centralising information or automating notifications so that the next person knows when they need to take action.
Identify tasks that exist because the previous process is failing
This point is often overlooked.
Some administrative tasks do not exist because they add value. They exist because they are compensating for a problem created earlier in the process.
For example, if employees manually review every order before it is dispatched because stock information is unreliable, that review may be a consequence of an information problem.
If the stock synchronisation issue is solved, part of that review may no longer be necessary.
The same can happen with manually created reports used to correct data that should already be available directly from management systems.
When a task seems unnecessary, it is worth asking what problem it is actually trying to compensate for.
Not every inefficient process needs new software
Identifying an inefficiency does not automatically mean that the company needs to buy an application or develop software.
Sometimes the problem can be solved by removing a step, changing a responsibility, reorganising information or defining more clearly when each person needs to intervene.
In other cases, technology can make a significant difference. This may be the case when two systems need to exchange information regularly, when a task follows clear rules or when the team spends too much time entering and checking data.
The decision should be based on the process and the business need, not on the tool someone wants to use.
When is it worth automating a process?
A task is usually a good candidate for automation when several of these conditions apply:
- It is repeated frequently.
- It follows relatively clear rules.
- It regularly consumes a significant amount of time.
- It generates errors when performed manually.
- It involves transferring information between systems.
- It does not require a complex human decision every time it runs.
For example, sending a notification when an order changes status can be a good automation opportunity. Deciding how to respond to a complex customer complaint probably is not.
Good automation frees the team from mechanical work while keeping human involvement where it genuinely adds value.
A practical method for identifying inefficient processes
You do not need to review the entire company at once. It may be more useful to start with one process that affects customers, invoicing, operations or internal management.
1. Define where the process starts and ends
Specify the event that starts the process and the result it should produce. This prevents isolated tasks from being analysed without understanding their purpose.
2. Document what actually happens
Speak to the people who perform the process and record the real steps, including spreadsheets, emails, checks and tasks that do not appear in the official procedures.
3. Mark waiting times, duplication and errors
Identify where the process stops, where information is entered more than once and where problems usually occur.
4. Eliminate before automating
Ask which steps can disappear or be combined. Automating an unnecessary task does not make the process efficient.
5. Decide what should remain manual
Not everything needs to be automated. Keep human involvement where decisions require experience, context or responsibility.
6. Measure the result
After making a change, check whether it has actually reduced the time required, errors, waiting periods or interruptions. If none of these have improved, the process probably needs to be reviewed again.
Mistakes to avoid when improving processes
Digitising an inefficient process without reviewing it
Moving a manual procedure into an application does not guarantee that it will be better. If it contains unnecessary steps, the problem may remain with a different interface.
Automating too many things at once
An overly ambitious strategy can make it difficult to understand which changes are working and which ones are creating new problems.
Adding tools without connecting existing ones
Each new application can solve a specific need, but it can also create another place where information has to be entered and maintained.
Ignoring the people who use the process
The people who perform a task every day often know about problems that do not appear in process diagrams. Their experience should be part of the analysis.
An efficient process does not necessarily mean a fully automated process
Efficiency is not about eliminating every manual task. It is about using the company's time and resources where they genuinely add value.
A process can be efficient even if it includes reviews, decisions and manual work. What matters is that these steps have a clear purpose and that the team is not spending a significant amount of time compensating for problems that could be avoided.
When a company analyses its processes from this perspective, it becomes easier to decide what should be reorganised, which tools can be integrated and where automation makes sense.
Process improvement starts before choosing the technology
Identifying inefficient processes in a business is, above all, an exercise in analysis. Before changing software, hiring more staff or adding new tools, it is worth understanding where unnecessary work is actually being generated.
In some cases, reorganising the process will be enough. In others, existing systems may need to be connected or certain operations automated. And when the available tools cannot adapt to a specific way of working, a more customised technology solution may make sense.
At Orizontic, we help businesses analyse their processes and technology needs to identify opportunities for improvement before considering larger changes. When a specific problem requires a tailored solution, we also develop custom software adapted to the way the business actually operates.
The goal should not be to have more tools, but to make work flow more efficiently with the resources and technology the company genuinely needs.
