In the race towards digital transformation, many companies automate everything they can – sometimes without deeper consideration. There is a widespread belief that every software robot delivers instant savings and competitive advantage. Reality, however, tends to be more complex. After the initial euphoria surrounding RPA (Robotic Process Automation), a fundamental question is being asked increasingly often: does every automation really make sense?
Every automation leader must eventually confront the decision of what to automate and what would be better improved through other means. In this article we look at how to recognise a process that will actually pay off. We examine where the belief “automation equals savings” came from, explain how to calculate automation ROI – both financial and operational – and discuss practical criteria for evaluating processes for robotisation. From an SNOK expert’s perspective, we show how to select and implement automation wisely, so that it serves people and the business rather than becoming an end in itself.
Automation for automation’s sake – the RPA boom trap
The first wave of RPA deployments a few years ago brought companies spectacular successes – at least in vendor presentations. It is no surprise that many organisations fell into the trap of automation for automation’s sake. It was assumed that, since a robot can relieve an employee of monotonous tasks, every automated process would automatically generate savings. The slogan “automation equals savings” entered the corporate vocabulary, fuelling an avalanche of RPA projects.
Indeed, a well-applied software robot can significantly increase efficiency – many companies report productivity gains of tens of per cent. However, an unreflective approach quickly exposed its weaknesses. It turned out that not every deployment fulfilled the promises of its ROI calculation. Many companies automated chaotic or rarely performed processes – simply because it was technically possible. Other organisations built dozens of “bots” without a coherent strategy, which led to maintenance difficulties. Once the dust from the first RPA boom settled, a sobering realisation followed: does every office task really need a robot?
As subsequent years have shown, around half of RPA initiatives initially failed to deliver the expected business results. The causes are numerous – from underestimating cost and complexity to selecting the wrong processes for automation. The market has therefore learned humility. Today’s approach to robotisation is more mature: rather than automating everything indiscriminately, companies focus on high-quality automation tied to business strategy. Instead of asking “what else can we automate?”, automation leaders now ask: “which automations make the most sense?”
Automation ROI – what actually pays off?
To assess whether automation makes sense, it is essential to understand the concept of ROI (Return on Investment). In the context of process robotisation, ROI represents the ratio of benefits gained to the costs incurred in deploying and maintaining robots. The simplest formula is (financial benefits – costs) / costs × 100%. If ROI exceeds 100%, the investment has paid for itself with a margin. It sounds simple – but the devil is in the detail.
How to calculate benefits? The most direct gain from RPA comes from labour cost savings. A robot performing a task faster than a human can reduce the need for working hours. For example, if automation saves 1,000 hours of work per year, and the average hourly labour cost is X, the annual financial benefit will be roughly 1,000 × X. On top of this come avoided errors (the correction of which also costs money) and faster processes – a quicker turnaround can, for instance, allow more transactions to be handled or improve customer satisfaction.
How to calculate costs? The full picture needs to be considered: not only the cost of the RPA licence (e.g. UiPath) and developer effort in building the robot, but also maintenance costs. Robots require infrastructure (servers, virtual machines), monitoring, and updates whenever applications change. There is also the cost of project management, testing, training staff who oversee the automations, and any technical support fees. The time horizon matters too – investment and benefits are spread over time, so ROI is often calculated over a horizon of a year or two from deployment.
Importantly, automation ROI is not just about hard currency figures. We are also talking about operational ROI – qualitative benefits such as improved data accuracy, elimination of mistakes, greater procedural compliance, and shorter process turnaround times. These factors are hard to translate directly into money, but carry enormous value. A robot performing a process flawlessly can protect a company from penalties, while a faster process can improve the customer experience.
Industry analyses show that UiPath platform deployments achieve, on average, a very high return on investment within the first few months. Automated processes can reduce unit costs by 25–80%, increase employee productivity by around 85% and virtually eliminate errors. This translates into both financial savings and qualitatively better operational work. What is more, many organisations recover their automation investment in less than six months of go-live – further operation then delivers pure profit.
How to recognise a process worth automating?
Since not everything is worth automating, the question arises: which processes are the best candidates for robotisation? Practice shows that certain process characteristics favour a high ROI, while others signal potential trouble. Here are the key criteria worth analysing before making a decision:
- Frequency and volume: a process performed very often or at large scale offers greater scope for recovering time and cost.
- Repeatability and standardisation: an ideal candidate is a process with clearly defined steps, a repeatable flow and standardised input data.
- Stability: a process that does not change every few weeks. Automating something that will soon be redesigned defeats the purpose.
- Time intensity: manual activities that take up many hours are a natural target for automation.
- Number of exceptions: the more decisions and deviations from the rule, the harder it is to achieve a stable automation.
- Impact on business and KPIs: it is worth prioritising automations that genuinely support key performance indicators.
Selecting a process is, in a sense, an art of compromise – rarely will you find an ideal candidate that satisfies all the above criteria. What matters is consciously assessing, before deployment, whether the potential savings will outweigh the costs and risks. Modern analytical tools can help here: UiPath Process Mining and Task Mining, which, based on data from systems and user behaviour, indicate where the real automation potential lies.
Companies, however, often make mistakes. They automate processes that are not ready for it – unstable, poorly designed, or performed too rarely. A classic example is automating a flawed business process: the robot simply performs, faster, something that was already not working well. Another mistake is robotising a process that is “politically important” but practically insignificant. Such deployments rarely pay off. Automation requires cool calculation, not emotion.
The SNOK expert perspective: strategy matters
As a company that has been deploying RPA in corporations for years, at SNOK we hold to the principle that automation must stem from strategy, not fashion. When we advise clients on where to start, we often say: “first determine why you want to do this, only then what and how you will automate”. This order guarantees that robotisation will be a tool for achieving business objectives, rather than an end in itself.
To help clients choose the right processes, SNOK has developed its own evaluation and prioritisation framework. What is critical is a multidimensional view – not only financial ROI, but also the impact on employees, customers and operational risk.
What does process evaluation look like at SNOK? We most often run dedicated workshops with the client, in which we go through three stages:
- Identification – we gather potential automation candidates, analyse process data and employee submissions.
- Evaluation – we analyse each process in terms of business value, complexity, risk and alignment with company objectives.
- Proof of Value (PoV) – we run a pilot to confirm the expected benefits at small scale before a full deployment.
This approach minimises the risk of failed projects and allows clients to make decisions based on hard data. Importantly – if the analysis shows that a process should not be automated, we say so directly. Sometimes the better solution is to optimise the process or modernise the source system.
The greatest risk of automation without strategy is chaos. Companies that deployed dozens of robots without a coherent architecture quickly ran into maintenance problems. That is why SNOK always emphasises the importance of an automation roadmap – a plan that shows how individual projects fit together and support the company’s long-term vision.
People in the age of robots – the role of employees after automation
Technology is technology, but people determine the success of automation. A well-implemented RPA solution relieves people, rather than eliminating them. Routine, repetitive tasks handed over to robots free up employees’ time, which can then be devoted to work requiring creativity, analysis or customer contact.
Automation also creates new roles – robot supervisors, process analysts, citizen developers. Companies that have gained greater efficiency through automation often hire more people for strategic and development-oriented tasks. Automation becomes a catalyst for change and competence development.
Of course, this requires appropriate communication. Employees must understand that a robot is their assistant, not a competitor. When they see that RPA means they no longer have to perform tedious tasks, they find it easier to accept the change.
At SNOK we always emphasise: “Automation only makes sense when it serves people – not when it replaces them.” Robots are meant to free people from what they dislike doing, so they can focus on what they are irreplaceable at.
How not to be misled by ROI on paper
Finally – a few of the most common traps that can distort the assessment of automation profitability:
- Too short an analysis horizon – ROI calculated after three months may look great, but does not reflect the full cost of maintenance.
- Ignoring maintenance costs – servers, support, changes to systems, monitoring – these are real expenses that often eat into profits.
- Automating without optimising – if a process is flawed, the robot will simply replicate the errors faster.
- Confusing automation with optimisation – RPA will not fix a bad process. Improve it first, then automate.
Above all: always start by asking “why?” A clear objective is the best antidote to ROI traps. Once you know why you are automating, it becomes easier to select what and how.
Smart automation starts with the question “why?”, not “how fast?”. This approach allows you to focus on the actual value for the business and for people. If we hold to this principle, every subsequent automation will genuinely improve our organisation – and Tech Thursdays with SNOK will remain stories of success, not disappointment.
Would you like to see this in practice, or discuss a deployment for your company? Get in touch – we respond within 48 hours.