Business process automation is not simply about adding new technology to a company. The real challenge is identifying which processes are worth automating, when to do it and what objective the automation should achieve.
Many businesses have tasks that consume hours of work while adding little value: entering the same data into different applications, sending repetitive emails, generating reports manually, transferring information between systems or carrying out checks that always follow the same steps.
These situations can indicate an opportunity for automation. However, not every process should be automated. Before investing in technology, it is important to understand how the business actually works, identify friction points and determine where automation can deliver tangible benefits.
In this article, we explain how to identify which business processes can be automated, what characteristics make a process suitable for automation and how to prioritise the opportunities with the greatest potential impact.
What does it mean to automate a business process?
Automating a business process means using technology to carry out some or all of a series of tasks that previously required manual intervention.
Automation can be simple, such as scheduling an email to be sent after a specific action, or more advanced, such as connecting different systems so that information flows automatically between them.
For example, a company could configure a process in which:
- A customer completes a contact form.
- Their details are automatically registered in the relevant system.
- A sales opportunity is created.
- The person responsible receives a notification.
- The customer receives an automatic confirmation email.
The aim is not to indiscriminately replace people's work, but to eliminate repetitive tasks, reduce errors and allow teams to spend more time on activities that require judgement, creativity or specialist knowledge.
How can you identify processes that can be automated?
The first step is not choosing a tool. It is observing how work is currently being done.
A good starting point is to analyse the tasks performed every week and ask specific questions: Which activities are repeated? Which require copying and pasting information? Where do most errors occur? Which tasks depend on someone remembering a manual step? What information is entered more than once in different systems?
The more questions that can be answered with a “yes”, the greater the potential for automation.
1. Look for repetitive tasks
Repetitive tasks are among the clearest candidates for automation.
Common examples include data entry, document classification, report generation, sending notifications, updating records or creating certain documents from information that is already available.
A simple question can help identify them: What task does someone perform in exactly the same way over and over again?
2. Identify rule-based processes
Processes that follow clear rules are often particularly suitable for automation.
For example: if an order exceeds a certain amount, send a notification; if a customer completes a form, create a record; if an invoice meets specific criteria, send it to the next stage of the process.
When decisions can be expressed through relatively clear conditions, it becomes easier to transfer part of the logic to a system.
3. Identify tasks that require multiple applications
Another important indicator appears when employees have to manually transfer information between different tools.
For example, copying data from an email into a CRM, transferring information from a spreadsheet into a management system or manually registering an order received through an online store.
In these cases, the problem may not be any particular application, but rather the lack of integration between systems.
Connecting the right tools can eliminate duplicate work, reduce errors and speed up the flow of information.
4. Find bottlenecks
A bottleneck occurs when one part of a process slows down the rest of the organisation.
This can happen because one person has to manually review every request, because an approval depends on a single person or because certain information is only processed once a day.
Automating part of that workflow can reduce waiting times and improve the team's ability to respond.
5. Pay attention to recurring errors
Human errors do not always indicate a lack of attention. In many cases, they are the result of processes that involve too much manual work.
If a company has to enter the same information several times, transcription errors, incomplete fields or outdated information can easily occur.
When a task is repetitive and well defined, automating it can improve data consistency and reduce the need for subsequent corrections.
Which business processes are usually good candidates for automation?
There is no universal list that applies to every business, but certain types of processes have characteristics that make them particularly suitable for automation.
| Area | Examples of processes that can be automated |
|---|---|
| Sales | Lead registration, sales notifications, opportunity follow-up and data updates. |
| Marketing | Communication workflows, segmentation, notifications and certain lead-generation processes. |
| Administration | Document generation, information classification and repetitive management tasks. |
| Customer service | Confirmations, notifications, request assignment and responses to frequently asked questions. |
| Operations | Status updates, information transfers and coordination between systems. |
| Ecommerce | Order management, notifications, information updates and certain post-sale processes. |
| Internal processes | Requests, approvals, notifications and information collection. |
The key is to analyse each case individually. A task that is worth automating in one company may not justify the investment in another with a much lower volume of operations.
How to determine whether a process is actually worth automating
The fact that a task can be automated does not necessarily mean that it should be.
Before making a decision, it is useful to consider several factors: frequency, time spent, cost, complexity, number of errors, impact on customers and technical implementation requirements.
Frequency and volume
The more often a task is performed, the greater the potential cumulative benefit of automating it.
A task that takes five minutes and is performed once a month will probably have a low priority. If those same five minutes are repeated hundreds of times each month, the situation changes considerably.
Time spent
It is important to measure how much time the process actually consumes, including additional work caused by errors, waiting times or duplicated information.
This provides a more accurate basis for estimating the potential impact of automation.
Economic impact
Automation should be evaluated as an investment. The question is not simply how much it costs to develop or implement a solution, but how that cost compares with the savings and improvements it could generate over time.
Risk of errors
If a manual process generates frequent errors, automation can provide significant value even if the amount of time saved is relatively modest.
Greater data consistency can prevent incidents, duplicated work and problems with customers or suppliers further down the line.
Customer experience
Some automation processes are not primarily designed to save time, but to provide a faster and more consistent customer experience.
For example, an automatic confirmation after submitting a request can reassure the customer that their enquiry has been received and reduce the need for follow-up calls or emails.
A simple matrix for prioritising automation opportunities
Once you identify several potential processes, deciding where to start can be challenging.
A practical approach is to score each process from 1 to 5 across four variables:
- Frequency: how often the process is performed.
- Time: how much manual work it requires.
- Impact: the potential benefit of improving the process.
- Complexity: how difficult it would be to automate.
As a general principle, frequent and repetitive processes with a significant impact and relatively straightforward implementation should be considered before processes with low volumes or disproportionate technical requirements.
This approach also helps avoid a common mistake: trying to automate too many things at once.
Practical example: automating the management of sales enquiries
Imagine a company that receives sales enquiries through its website.
At the moment, an employee checks the inbox, copies the potential customer's details into a spreadsheet, notifies the sales manager and manually replies to the enquiry.
The process may seem simple, but it contains several repetitive tasks and multiple points where errors can occur.
An alternative would be to create an automated workflow connecting the website form with the tools used by the sales team:
- The user submits the form.
- The information is validated and registered automatically.
- The corresponding contact is created or updated.
- The sales representative receives a notification.
- The user receives an automatic confirmation.
- The enquiry is recorded for follow-up.
The employee is still essential for assessing the opportunity and building the customer relationship. The difference is that they no longer have to spend time on administrative tasks that technology can handle automatically.
Automating a process does not mean digitising an inefficient process
This is one of the most important principles to consider before starting any automation project.
If a process is poorly designed, automation can simply make it work badly faster.
Before automating, it is worth asking whether every existing step is actually necessary. There may be unnecessary approvals, duplicated tasks, outdated activities or tools that are contributing to the problem.
For this reason, a good strategy begins by analysing the existing process, simplifying it where possible and then determining how technology can improve it.
What technologies can be used to automate business processes?
The right technology will depend on the process, the volume of work and the systems already used by the company.
In some cases, it may be enough to configure automation features within existing applications. In others, it may be necessary to integrate different platforms through APIs, use automation tools or develop a bespoke solution.
Technologies such as business management systems, CRM platforms, ecommerce solutions, document management applications and artificial intelligence can also play a role.
The important thing is not to start with the tool. First define the problem and the desired outcome. Then determine which technology is most appropriate.
Common mistakes when automating business processes
Automating because it is trendy
The fact that a technology is popular does not mean that it is necessary for every process. Automation should address a specific business need.
Not measuring the process beforehand
If you do not know how much time a task consumes, how many errors it generates or what impact it has, it will be difficult to determine whether the automation has actually delivered results.
Choosing a tool before analysing the problem
It is common to start looking for an application to automate something without first defining the workflow. This approach can result in complex solutions that fail to address the original problem.
Trying to automate everything
Not all tasks have the same potential. It is better to start with specific processes, measure the results and progressively expand automation.
Forgetting about people
Automation needs to fit into the way the team works. It is important to define who will supervise the process, what happens when an exception occurs and how cases that cannot be handled automatically will be managed.
A practical methodology to get started
If you want to analyse which processes in your business can be automated, you can follow these steps:
- Create an inventory of tasks: identify the most frequent processes in each area of the business.
- Map the workflow: document what happens from the beginning to the end of each process.
- Identify manual tasks: especially repetitive and rule-based activities.
- Calculate the impact: estimate time, volume, errors and the effect on customers or employees.
- Look for simplifications: remove unnecessary steps before automating.
- Prioritise: start with processes offering the best balance between impact and complexity.
- Define the solution: determine whether existing tools can be configured or whether integration or custom development is required.
- Measure the results: compare key indicators before and after implementing the automation.
Automation should be part of a digital strategy
Automating business processes can deliver significant improvements, but its full potential becomes clear when it forms part of a coherent technology strategy.
Business processes are interconnected. An improvement in sales can affect administration; an integration between ecommerce and management systems can reduce manual work; a bespoke application can eliminate processes that currently require employees to work across several different tools.
For this reason, before developing an isolated automation, it is worth analysing the company's overall digital ecosystem and understanding how information moves throughout the organisation.
At Orizontic, we take precisely this approach: we analyse each company's needs and design digital solutions that are efficient, practical and adapted to its specific reality. Our consulting and custom development services can help identify opportunities for improvement and turn them into concrete technology solutions.
Conclusion: how do you know which processes to automate?
The best candidates for automation are usually processes that are repetitive, frequent, rule-based, involve significant amounts of manual work or have a high risk of errors.
However, identifying an automatable task is only the beginning. Before implementing a solution, the process needs to be analysed, its impact assessed, unnecessary steps removed where appropriate and technology selected according to the company's actual needs.
The question should not simply be “What can I automate?”, but rather “Which process is currently limiting my company's productivity, and how can technology improve it?”
If your business has processes that consume too much time or tools that do not work well together, it may be worth analysing them from a technology perspective. Tell us what you need and let's explore the possibilities together, starting not with a specific tool, but with the problem you want to solve.
