Many companies want to implement AI and automation, but make a basic mistake from the very beginning: they try to improve everything at once. This usually leads to chaos, disappointment and the feeling that “it doesn’t work”. A better approach is simpler — first, you need to identify which processes are actually worth automating first.
In practice, the goal is not to implement as many tools as possible. The goal is to find areas where automation can deliver a quick, measurable and safe improvement. Most often, these are processes that are repetitive, time-consuming, prone to errors and heavily based on manual work.
A good first process to automate is not necessarily the most advanced one. It is usually the one that consumes time every day, slows the team down and creates unnecessary costs.
In this article, we show how to approach this in a practical way and what to look at before the company starts investing in specific solutions.
Why it is not worth starting with everything at the same time
In many companies, the problem is not a lack of ideas, but too many of them. One person wants a chatbot, someone else wants OCR, another wants CRM integration, and someone else wants automatic email replies. The directions themselves may be valid, but without priorities it is easy to implement something that looks modern without solving a real problem.
The first stage should be selective. It makes sense to start by identifying processes that:
- occur regularly,
- take up a lot of employees’ time,
- are carried out according to a similar pattern,
- cause errors, delays or information chaos,
- do not require a complex expert decision every time.
These are usually the areas where automation delivers the fastest return.
Which processes are usually best suited for initial automation
In SMEs, similar starting points come up very often:
- handling repetitive customer inquiries,
- manual data entry from documents, forms and messages,
- moving information between systems,
- preparing standard replies and proposals,
- document classification and data organization,
- repetitive reporting or status updates.
These are not the most impressive processes from a marketing perspective, but they are often the ones that generate the biggest time losses.
5 questions worth asking before choosing a process to automate
Before selecting the first area for implementation, it is worth going through a simple checklist.
- Does this process happen frequently?
If something happens every day or several times a week, automation makes much more sense than for a task performed once a month. - Does this process take a lot of time?
This is not only about a single task, but about the total time cost over a week or a month. Five minutes here, ten minutes there, and suddenly the company is losing dozens of hours every month. - Do errors occur in this process?
Data entry mistakes, missing attachments, incomplete responses, lost information — these are classic signs that a process is ready for improvement. - Can the process be described step by step?
If it can be mapped as a series of repeatable actions, it can usually be partially or largely automated. - Will the effect of automation be visible from a business perspective?
A good first project should produce a noticeable result: shorter handling time, fewer errors, better data organization or a faster response to customer needs.
Which warning signs to pay attention to
There are also situations where a company intuitively feels that “something is off”, but does not yet connect it to the need for automation. Typical warning signs include:
- employees entering the same data multiple times in different places,
- information scattered across email inboxes, documents and spreadsheets,
- customer responses depending on whoever happens to reply,
- part of the work consisting of copying, retyping and checking,
- the company growing while processes still rely on improvisation,
- key activities depending on the memory of specific individuals.
These are very strong signals that it is worth starting with process organization and partial automation before operational chaos becomes even more costly.
Which processes are better not to automate at the beginning
Not every area is a good candidate for the first stage. At the beginning, it usually makes little sense to start with processes that:
- are rare and irregular,
- look completely different every time,
- require complex expert decisions without clear rules,
- involve critical risks without proper oversight,
- currently have no organized operational logic at all.
If a process is completely chaotic, it needs to be organized first. Automation does not fix disorder by itself. Very often, it only speeds it up.
How to choose the first process in practice
The best approach is to start with a brief review of several areas in the company and compare them using simple criteria:
- frequency of execution,
- time required to complete it,
- number of errors or delays,
- degree of repeatability,
- impact on the customer or on operational order,
- ease of implementing the first solution.
In practice, one approach works especially well: start with a process that is important, frequent and fairly simple. This makes it easier to see results sooner, limit risk and build internal confidence for future implementations.
Examples of processes companies often start with
Depending on the business profile, the first sensible step may look different.
- In a service company: automatic organization of inquiries and preparation of initial responses.
- In e-commerce: generating and updating product descriptions, and handling repetitive customer questions.
- In a document-driven company: extracting data from documents and passing it on to the appropriate system.
- In B2B sales: support for preparing proposals, responding to inquiries and organizing customer information.
- In administration: moving data between forms, email, spreadsheets and documents.
These are areas where results often appear quickly, while not requiring the business to build a highly complex system from the start.
What a well-chosen first automation project delivers
If a company chooses the right process to start with, it gains more than just time savings. Other benefits also appear:
- greater predictability of work,
- fewer manual errors,
- better order in data and documents,
- faster customer service,
- less dependency on individual employees,
- a better foundation for future implementations.
That is exactly why the first stage matters so much. A well-chosen process builds momentum and trust. A poor choice discourages the company from everything that comes next.
Where to start
The most sensible place to start is with a short process review, not with buying a tool. First, you need to know:
- where the company loses the most time,
- where repetitive errors occur most often,
- which activities can be mapped into a simple workflow,
- which process will deliver the fastest visible improvement.
Only then does it make sense to choose a specific solution: automation, OCR, system integrations, a chatbot or another form of AI support.
If you do not know where to start, a good first step is a process audit and selecting 1–2 areas with the greatest improvement potential. This usually works better than implementing tools based on instinct.