Process Automation
Filling in the same spreadsheet, writing the same email, searching for the same document every day. Let this work get done without waiting for you.
What is process automation, and how does it differ from traditional automation?
Process automation means software carries out the steps of a task on its own. With AI added, automation can also read, classify and summarize, in addition to following fixed rules.
| Rule-based automation | Robotic process automation (RPA) | AI-powered automation | |
|---|---|---|---|
| How does it work? | Predefined "if this happens, do that" rules | A software robot copies the repetitive on-screen steps an employee performs | On top of rules, AI understands text, documents and requests |
| Where it is strong | Structured data, clear rules | Legacy software with no API | Unstructured data such as emails, PDFs and forms |
| Where it is weak | Exceptions | Can break when the screen changes | Needs human approval when things are unclear |
| Example | Adding a row to a spreadsheet when a form comes in | Entering the same data into an old program every day | Reading an invoice and posting the amount and due date to the accounting system |
Solutions that turn information in documents into structured data are also called intelligent document processing (IDP).
The six parts of an automation
Whatever tool it is built with, a reliable automation is made of the same building blocks.
Trigger
The event that starts the automation. A new email, a submitted form, a new order in the system, or a set time such as every Monday morning.
Data retrieval and reading
The required information is pulled from the relevant system. Documents such as PDFs, invoices or emails are read with AI.
Decision and classification
The request type, priority or the person to route it to is determined. Clear rules handle what they can, and AI handles the rest.
Action
Creating a record, preparing a report, sending a notification or passing data to another system.
Human approval
Approval is required before irreversible steps involving money, contracts or formal correspondence with customers.
Logging and error handling
Every run is logged. If a step fails, the automation stops and alerts the person responsible.
Which tasks can be automated?
The examples below are the repetitive tasks we see most often in small and mid-sized businesses.
| Area | Today | With automation |
|---|---|---|
| Operations | Orders are copied from email into a spreadsheet by hand | Each order is recorded on arrival and a task is opened for the right person |
| Documents and invoices | Incoming invoices are opened one by one and keyed into accounting | The invoice is read, the amount and due date are extracted and sent for approval |
| Reporting | A report is built from several spreadsheets every week | Data is collected and a summary report arrives by email every Monday |
| Human resources | Leave requests and staff paperwork are scattered across emails | Requests flow through one process, with approval and filing automated |
| Stock and supply | Shortages are noticed only when stock runs out | An alert and a draft order are prepared when an item hits its critical level |
| Customer follow-up | Follow-ups after a quote are forgotten | A reminder is created if no reply arrives within a set time |
How much of the work can be automated?
According to a 2023 McKinsey report, generative AI and other technologies have the potential to automate work activities that take up 60 to 70 percent of employees' time today. The previous estimate was about 50 percent.
This is technical potential, and the real share varies from business to business. The same report finds that about three quarters of the value generative AI could create falls in four areas: customer operations, marketing and sales, software engineering, and R&D.
In Türkiye, 2026 data from TÜİK (the Turkish Statistical Institute) shows that 51 percent of enterprises using AI use it for marketing and sales, and 43.4 percent use it for production and service processes. See our AI Transformation guide for details.
Checklist for a reliable automation
Tool choice depends on the systems you use and where the data needs to be kept. Automations can be built on platforms such as n8n, Make, Zapier or Microsoft Power Automate, or with custom software. Whichever you choose, these principles stay the same.
- Write the process down first. Every step of the task to be automated should be documented, including the exceptions.
- Measure today. Record time and error rate before you build anything.
- Set approval points. Human approval before every irreversible step.
- Grant the least access. The automation should reach only the data it needs for its job.
- Make errors visible. A failed run should never pass silently. The person responsible should be notified.
- Assign an owner. Every automation needs a named owner inside the business.
What Process Automation gives you
Operations
Order, task and notification flows are linked up, so manual copying stops.
HR and documents
Recruitment, leave and staff paperwork are organised in a single flow.
Reporting and stock
Summary reports are built from scattered data, and you are warned about stock shortages in advance.
Setup steps
Process analysis
We write out the task to be automated together, step by step.
Design
We decide which tools to connect and where approval is needed.
Setup and testing
We build the automation and test it with real data.
Measurement
We track the time saved and the error rate.
Industries it suits
Works well alongside
Integrations
Information the assistant collects should not get stuck in one place. It should flow straight into the systems you use.
Learn more ›Systems that carry out work on their ownAI Agents
It does more than answer a question. It carries the work through from start to finish and brings the result to you for approval.
Learn more ›Frequently asked questions
Which processes can be automated?
Any rule-based, repetitive process can be a candidate, including reporting, data transfer, form and document processing, notifications, stock and order tracking, and recruitment steps.
Do I need to change the software I use now?
Usually not. We work by connecting the tools you already use.
What happens if an automation makes a mistake?
We add human approval at critical steps and make sure every automation alerts you if something goes wrong.
Tell us about your business. We'll plan it together.
In a free 30-minute discovery call, we talk through your processes and work out where AI would save you the most time.