What Is RPA? Robotic Process Automation Explained: Which Tasks to Automate and Where to Start

RPA (robotic process automation) is the use of software bots to carry out rule-based, repetitive computer work, such as copying data between systems, filling in forms and compiling reports, through the same screens a person would use. It works best where rules are clear, volumes are high and the input is already digital; it is not suited to work that depends on judgement.

The "robot" is not a machine but a program that takes the place of the keyboard and mouse. This guide explains how RPA works, which processes suit it, how it differs from API integration and AI, and how to run an RPA project step by step.

What is RPA and how does it work?

Picture a finance team. Every morning someone opens the supplier invoices in the shared mailbox, keys the amounts and due dates into the supplier account in the ERP, saves the file to a shared folder and, later in the day, updates a spreadsheet with the same figures. None of it is difficult, but it is slow, it demands attention and at month end the volume doubles. Errors usually start with one number in the wrong cell and surface weeks later during reconciliation.

An RPA bot runs that same routine the way a person would: it checks the mailbox, opens the attachment, reads the required fields, writes them into the ERP screen or through a background connection, records the result and — when it meets an exception, such as an amount that does not match the purchase order — hands the case to a person. The bot does not get tired, does not wait for office hours and logs every step, so the question "where did this entry come from?" always has an answer.

The key distinction is that RPA does not replace your existing systems; it works on top of them. An ageing desktop application, a web portal with no API, a government or bank portal — whatever screen a person uses, a bot can use too. That is why RPA is quick to deploy. It is also why a bot needs updating whenever the screen it relies on changes. Where a bot is only a stopgap, the longer-term options are covered in legacy software modernisation.

The cost of repetitive work — and why it is on the agenda now

Repetitive office work never appears as its own line in the payroll; it is spread across the days of skilled employees. International surveys show how mainstream automation has become:

In Deloitte's Global Intelligent Automation Survey 2022 of 479 executives in 35 countries, 74% were already implementing RPA, and organisations that had scaled intelligent automation reported an average cost reduction of 32%.

The same survey carries a warning. Among organisations still piloting automation, the average payback period lengthened from 16 months in 2020 to 22 months in 2021/22. RPA does not pay for itself automatically; the gains go to organisations that pick the right processes and then scale them.

In Türkiye, the volume of work that lends itself to automation keeps growing. According to the Turkish Revenue Administration (GİB) 2025 Annual Activity Report, 1,188,605,103 e-Invoices were issued in 2025, compared with 534,971,392 in 2021. e-Fatura is Türkiye's mandatory electronic invoice system: the documents themselves are digital, yet in many companies transferring them into the ERP, the bank and the management reports is still done by hand. How the integrator side should be set up is covered in our e-invoice integration guide.

Building that automation in-house is not easy either. The TurkStat ICT Usage in Enterprises Survey 2026 found that only 15.2% of Turkish enterprises employ ICT specialists — 10.8% among those with 10-49 employees — and 31.7% of those recruiting ICT specialists reported difficulties.

Which processes suit RPA? Criteria and examples

Not every repetitive task is a good candidate. Before a process goes on the shortlist, test it against six criteria:

1. Is the rule clear? "Approve if the amount matches the purchase order, otherwise send it to the finance lead" is a rule a bot can follow. "We decide case by case" means the rule has to be written first.
2. Is the input digital and structured? e-Invoice XML, spreadsheets and portal screens are ideal. Scanned paper or free-text emails need to be read with OCR or AI first; for invoices, see OCR invoice processing.
3. Is there enough volume? Automating a task done a few times a month may never cover the cost of maintaining the bot. Daily or weekly tasks come first.
4. Is the process stable? If a screen is about to change or the workflow is being redesigned, finish that change before automating.
5. Is the cost of error high? Payments, invoices, stock and payroll — where mistakes come back as money or penalties — make the benefit easier to see.
6. Are the exceptions defined? What the bot should hand back to a person must be clear from the outset. If exceptions are the norm, the process is not ready.

Typical candidates include entering supplier invoices into the ERP, matching bank transactions to customer and supplier accounts, downloading recurring reports from bank and government portals, transferring order emails into the system, keeping stock and price lists in sync across systems, and compiling monthly management reports. We walk through bank transaction matching step by step in bank reconciliation automation. We look at where spreadsheet-driven work tracking breaks down in our article on outgrowing spreadsheets.

RPA, API integration or AI: which one, when?

RPA is often presented as the answer to everything. In reality the same problem has three possible answers, and the state of your systems decides which one fits. For the AI side, see AI in business: where to start.

The most robust solutions combine all three: OCR reads the invoice, a business rule checks the totals, and the record is written to the ERP through an API where one exists — or by an RPA bot through the screen where it does not. For permanent, high-volume connections an API is always the more durable option; we cover the differences in our guide to API integration.

How to run an RPA project, step by step

1. Map the process as it really runs. Sit with the person who does the work and record every click, every exception and every "sometimes we do it this way". The documented process and the real one are rarely identical.
2. Simplify first. Remove redundant approvals, duplicate checks and reports nobody reads any more. Automating a poor process only makes mistakes happen faster.
3. Set the success measure up front. Time per transaction, error rate, delay — without a baseline you cannot prove what automation delivered. The same logic we set out in measuring AI project ROI applies to RPA.
4. Pilot a single process. Choose one high-volume process with a clear rule, and run the bot on real data under human supervision.
5. Design the exception path. When the bot cannot resolve something, who is told, through which channel, with what information? Logging and monitoring are designed at this stage.
6. Plan access and security. Bots should not run under personal accounts, their permissions should match the task, and their credentials must be stored securely. To hold bot accounts to the same password rules as human users, see business password security.
7. Measure, then scale. Compare pilot results with the baseline; if the benefit is there, extend to similar processes.

Common mistakes

• Treating automation as a licence purchase. A licence is bought, a few bots are built, but nobody owns the process, so the first screen change stops the bot and no one notices.
• Automating everything at once. Dozens of bots not proven in a pilot increase the maintenance load and delay the point where the return becomes visible.
• Running a bot under a personal login. When that person leaves or changes their password, the process stops, and in an audit it is no longer clear who performed each action. Where bots handle personal data, this also matters for data protection compliance under KVKK, Türkiye's Personal Data Protection Law No. 6698.

Keying the same data into a customer portal every day is a classic RPA candidate. In automotive, though, the lasting fix is usually direct message integration, as we explain in our article on automotive EDI integration.

How we approach RPA at Digital Bridge

We do not sell an off-the-shelf RPA product. We start by understanding your process and then build the automation that fits it:

• Process analysis and prioritisation. As part of our RPA and process automation service, we list repetitive tasks with your teams, score them against the criteria above and pick the highest-value process for the first pilot.
• Choosing the right tool. Where your system has an API, we build a permanent connection through API and system integration; where it does not, we use automation bots that work through the screen. For scanned documents we add document OCR to the flow.
• Invoices that arrive by email. Where invoices come in by email, SmartMail — part of the Smart360 suite — extracts the parties, issue and due dates, subtotal, VAT, grand total, document number and tax number from the attached invoice PDF without the file being downloaded, and the attachment can be saved to SmartFiles in one click. That shortens the reading step of an automated flow.
• Alignment with your ERP. We check the fields, approvals and permissions on the ERP side so that data written by the bot never conflicts with your ERP rules.
• A written proposal and measurable targets. Scope, phases and cost are set out in a written proposal, and we report the pilot against the measures agreed at the start.
• A roadmap. For organisations that want to plan automation as a whole rather than as isolated projects, we prepare a process inventory and priority order through our digital transformation consultancy.

If you're not sure which process to start RPA with, our article on which business processes to automate first offers a matrix that scores candidates on volume, rule clarity, cost of error and system access.

Next step

You do not need a large project to begin. For one week, note the tasks your team repeats, how long each takes and how many times a month it happens. With that list in hand, get in touch and we will work through which processes suit RPA and which are better served by API integration. If you are also deciding whether to build or buy, our article on custom versus off-the-shelf software will help. Our other guides to integration and business systems are collected in our Software Development articles.