Advisory
What robotic process automation actually does
RPA is software that carries out repetitive, rule-based digital tasks a person would otherwise do by hand. Useful in the right place, wasteful in the wrong one.
Realm Digital
3 min read
Robotic process automation gets talked about as though it were something new and complicated. It is neither. RPA is software that follows a fixed set of rules to complete repetitive digital tasks a person would otherwise do by hand. There are no physical robots. There is a script that logs into systems, reads fields, copies data between them and repeats the same steps without tiring or losing concentration.
What it is and how it works
RPA suits work that is high in volume, low in judgement and stable in its steps. Moving invoice data from an email into an accounting system. Reconciling two spreadsheets against a set of rules. Copying a customer record from one application to another. If a task can be written down as a clear sequence of steps that rarely change, a bot can carry it out consistently and quickly.
The mechanics are straightforward. You define the steps a person takes to complete the task, build a script that repeats them, point it at the systems involved, and let it run. It then needs monitoring, because the systems it depends on will change, and a bot that was working yesterday can break the day a screen or a field moves.
Where a task needs real decisions, or the inputs vary in ways rules cannot cover, RPA is the wrong tool. It does not understand the work. It repeats the steps it was given.
Where it helps, and where it does not
Done well, RPA removes dull, repetitive work from people and hands it to software that does not get bored or make copy-and-paste mistakes. That frees your team for the work that actually needs a person, and it improves the consistency of the data the rest of the business relies on. Those are real gains when the task is a good fit.
The failure is more common than the success, and it is nearly always the same one. Automation makes a bad process run faster, not better. Point a bot at a broken workflow and you get broken output at speed, plus a script to maintain on top of the mess you already had. Fix the process first. Sometimes that alone removes enough manual effort that automation is no longer worth building.
The technology is rarely the hard part. Deciding what to change, in what order, and what to leave alone is. That is the work worth spending time on before a single bot is built.
How to start
Begin by looking at the work, not the tools. Find the tasks that are repetitive and rule-based, and be honest about which of them are worth automating. Then examine each process on its merits and improve it before you commit to a bot. Only once a process is sound and stable does it make sense to choose a vendor, build, test and deploy, and put a support model in place to keep it running as the systems around it change.
Realm has been advising on this kind of work for more than two decades. The value is in the thinking that comes first, not the software that comes last.
