Guide

Business automation: where to start – five steps to your first working automation

This guide is for owners, CEOs and directors who hear about automation from every side but do not know where to take the first step. We show five steps from a list of tedious tasks to a first automation that works, and how to keep the ones that follow from turning into chaos.

Author: Kacper Włodarczyk, CEO of ALGORCOMPPublished: May 23, 2026Reading time: 10 min readBusiness process automationFor: Universal
Business automation: where to start – five steps to your first working automation

Why start with tasks, not with a tool

Most companies start by comparing tools and booking presentations with vendors. A few weeks later they have a table of features, but still do not know what they actually want to automate.

Take a hypothetical trading company with 70 employees. Salespeople retype orders from emails into the system, an assistant compiles a sales report from three files every Monday, and managers send email reminders about overdue approvals. Each of these tasks is a separate, concrete candidate – and it is the task that determines what tool will be needed.

Step 1: list, with your team, the tasks that take up time

Set aside half an hour and write down a few repetitive tasks that annoy you. Then ask managers and employees for their lists. It usually turns out that the biggest time-wasters are seen by the people doing the work, not by the board.

For each task, note a few details, as in the table below. You do not need precise measurements – an estimate from the person who does it is enough. You will choose a candidate from this list in the next step.

Sample list of automation candidates (illustrative values)
TaskWho and how oftenTime each timeWhere the data comes from
Sales report from three filesAssistant, weekly2 hoursSystem exports and salespeople’s spreadsheets
Reminders about overdue invoice approvalsAccountant, daily20 minutesMailbox, accounting system
Retyping orders from emailsFive salespeople, several times a day10 minutes per orderCustomer emails, attachments
Paper leave requestsManagers and HR, several times a week15 minutes per requestPaper form
Business automation: where to start – five steps to your first working automation

Step 2: choose the one task that will pay back fastest

Choose one task from the list, not three at once. The first automation needs to convince the company that this works – more will follow once it is up and running. A good candidate meets the criteria in the list below.

Simple things usually win: a notification about an email from an important customer, a reminder about an overdue approval, a report sent every Monday or a form instead of paper. The worst first choice is something that changes the daily work of dozens of people at once.

  • It repeats at least once a week, ideally daily.
  • It has a clear start and end – it is clear what triggers the task and what the result should be.
  • The data is digital: an email, form, file or system – not handwritten notes.
  • It does not require expert judgement for every case.
  • It involves a few people who are keen to try the new solution.

Step 3: build the automation in a tool you already have

In most mid-sized companies, the first automation does not require buying a new system. Microsoft 365 business plans include Power Automate with standard connectors, so you can build simple flows in Outlook, Teams, SharePoint and Excel without an additional licence.

The same goes for other tools: monday.com has built-in automations, and most CRM systems let you set up reminders and tasks without programming. Just check the limit on automation runs in your plan. The table below will help you choose a starting point.

Separate automation platforms, or software robots that click through programs like a person, become useful later. Turn to them when your existing tools really are not enough.

Where to build your first automation
Your company works onStart withWhen to look for something else
Microsoft 365Power Automate with standard connectorsWhen you need a connection to a non-Microsoft system – this usually requires the Premium plan
monday.comBuilt-in automations and integrationsWhen your plan’s run limit is not enough, or the process goes beyond monday.com
Google WorkspaceGoogle Apps Script (scripts that require basic programming skills) and the automation tools available in your planWhen you need many connections to other systems
A CRM or ERP systemBuilt-in rules, reminders and tasksWhen the process spans several systems at once
A team of managers lists repetitive tasks for automation on a whiteboard

The most expensive decision in automation is not choosing the wrong tool, but putting off the first step for another six months.

Step 4: check the result in two weeks, not two months

The first automation does not need a phased schedule and a steering committee. Before you start, measure how long the task takes today – for example, by recording the time for a few cases over a week.

In the first week, build the simplest working version. It may not handle every exception – what matters is that it works for typical cases. In the second week, give it to three or four people, note the problems and make fixes.

After two weeks, compare the time with your baseline. If the effect is clear, roll the automation out to the rest of the team. If not, go back to the list from step 1 – the lesson cost two weeks, not six months.

Step 5: expand in an orderly way, not on impulse

Once the first automation works, other departments quickly want their own. Without rules, a year later the company has dozens of automations, some of them duplicates, and nobody knows who built them. A few simple rules are enough:

  • One person is responsible for all automations in the company – they do not need to be a programmer, but they should understand the processes and carry some authority.
  • Every automation goes into a register: name, author, what it does, who it affects, when it was last checked.
  • Important automations run on a shared service account – a company account not tied to any individual – rather than on an employee’s account. If that employee left and their account were deleted, the automations would stop working. A service account also needs a licence.
  • Once a quarter, a review: what works, what is no longer needed, what needs improving.
  • Ideas from the team go onto a single list, and the next automation is chosen using the criteria from step 2.

What it costs and how to calculate whether it pays off

The cost of the first automation has three elements: licences, your people’s time and any outside help. With tools you already have, licences often require no extra payment. The biggest cost is usually the time of the person who describes the process and tests the solution.

Calculate the gain simply: number of people × hours saved per week × number of working weeks × hourly cost. Suppose an automation saves five people an hour a week each. Over 46 working weeks, that is 230 hours a year, and at PLN 70 an hour – about PLN 16,100.

Add to this the benefits that do not show up in hours: fewer mistakes, faster responses to customers, less chasing. Present them to the board separately, without forcing them into a PLN figure.

The most common mistakes at the start

The same mistakes recur regardless of industry and company size. Most of them can be avoided at the planning stage:

  • Starting with a large, important process, such as “we’re automating the whole of sales”. The scale paralyses everyone, and after six months nothing works.
  • Automating a process that nobody can describe. If it cannot be explained in ten minutes, sort it out first.
  • Buying an expensive platform before achieving a first success with the tools the company already has.
  • No person in charge – an automation without an owner stops working at the first change in the process.
  • Keeping the team in the dark. People who do not know why a change is happening assume the worst and do not report problems.

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FAQ

Business automation – frequently asked questions

Questions management boards ask when they decide to take the first step.

Should we start with artificial intelligence or with ordinary automation?
Usually with ordinary automation. Rules such as “when an email arrives from customer X, create a task” are predictable and easy to check. Add AI where content needs to be understood, for example to recognise the type of enquiry. When you do, remember to train the people affected.
When is it worth getting outside help?
Companies often build their first simple automations themselves. Help is useful when a process connects several systems, involves financial or personal data, or when nobody in the company has time to take it on. A good partner will start with your list of tasks, not with a presentation of a tool.
What should we do if employees are afraid of automation?
Say plainly what the goal is and what automation will not change. Showing the first result works best: a specific person no longer has to do a specific, tedious task. Invite employees to suggest further candidates – they know them best.
Can automations process personal data?
Yes, but on the same terms as the rest of the company. An automation should not send data anywhere it did not go before, or give access to people who did not have it. With new external services, check the data processing agreement (DPA) and where the data is stored.
Does this approach work in a 20-person company?
Yes – the steps are the same, just shorter. In a small company, the person in charge is often the owner or the office manager, and the register may have only a few entries. What matters is not to build automations on personal accounts.

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About the author

Kacper Włodarczyk — CEO of ALGORCOMP

Kacper Włodarczyk

CEO of ALGORCOMP

Kacper specializes in implementing Microsoft 365 Copilot, Copilot Studio, Power Platform (Power Automate, Power Apps, SharePoint) and AI agents for mid-sized B2B companies in Poland. He leads dozens of projects covering AI strategy, Power Platform governance, document workflow automation and sales processes. In his writing he focuses on the practical side of AI adoption in organizations — from the first proof of concept to company-wide rollout — with particular attention to data security, compliance (GDPR, NIS2, the AI Act) and return on investment.

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