Four questions. A task needs a yes to all four.<\/p>\n
Is it high volume?<\/strong> The same thing, many times. Daily or weekly, not twice a month.<\/p>\n Is it rule-based?<\/strong> Clear steps, no judgement.<\/p>\n Is the input structured?<\/strong> Consistent format, same place each time.<\/p>\n Is the source stable?<\/strong> The site or system does not change constantly.<\/p>\n One “no” usually means do not automate it<\/strong> \u2014 or automate part of it and leave the rest.<\/p>\n What it is.<\/strong> A dataset, price list or report published somewhere, needed in your system on a regular basis.<\/p>\n Why it fits.<\/strong> Repetitive, entirely mechanical, and skipped on busy days \u2014 which means working from stale data without realising.<\/p>\n How to build it well:<\/strong> if there is a direct URL, request it rather than navigating a browser. That one choice removes most of the fragility.<\/strong><\/p>\n What it delivers:<\/strong> the file, validated, handed to something that processes it. Not the whole pipeline.<\/p>\n What it is.<\/strong> Logging into a supplier, bank or government portal, navigating to a report, downloading it.<\/p>\n Why it fits.<\/strong> Genuinely no alternative \u2014 you use the portal, you do not own it.<\/p>\n Why it pays.<\/strong> Often daily or weekly, and it takes real time.<\/p>\n Watch for:<\/strong> portals redesign without notice. Budget for maintenance, keep the automation’s job to retrieval only, and make failure visible.<\/p>\n What it is.<\/strong> Records from one system entered into another.<\/p>\n Why it fits.<\/strong> High volume and mechanical.<\/p>\n Check first:<\/strong> does either system have an API or an import function? If yes, use that instead.<\/strong> This is the most common case where RPA gets built unnecessarily, because it does not require anybody’s permission.<\/p>\n FIGURE 1: THE THREE THAT PAY MOST OFTEN<\/p>\n Fetching published data<\/p>\n Portal extraction<\/p>\n Moving data between systems<\/p>\n What it is.<\/strong> Entering the same kind of information into the same form, many times.<\/p>\n Why it pays.<\/strong> Time saved, and the error rate drops \u2014 a robot does not mistype on the four hundredth entry.<\/p>\n Where it breaks:<\/strong> the form changes. Keep the interaction minimal and the selectors stable.<\/p>\n What it is.<\/strong> Compare a list from one system against another and flag differences.<\/p>\n Why it fits.<\/strong> Rule-based comparison, structured data.<\/p>\n Why it pays.<\/strong> Tedious, error-prone by hand, and often skipped entirely \u2014 which means problems go unnoticed until they are expensive.<\/p>\n The robot flags. A person investigates.<\/strong> Do not automate the investigation.<\/p>\n What it is.<\/strong> Pull figures from several places, put them into a template, distribute.<\/p>\n Why it pays.<\/strong> Somebody currently loses a morning to it.<\/p>\n Agree the definitions first.<\/strong> What counts as revenue, what period, what is excluded. If those are unclear, automating produces a report people argue about faster.<\/p>\n The underrated one.<\/strong><\/p>\n What it is.<\/strong> The automation gathers everything, assembles it, and stops. A person reviews and decides.<\/p>\n Why it fits.<\/strong> The gathering is mechanical; the decision is not.<\/p>\n Why it pays.<\/strong> Most of the time in these tasks is collecting, not deciding. Automating the collection captures most of the saving with none of the risk.<\/strong><\/p>\n This is often the right answer<\/strong> when full automation seems to need judgement. Split the task rather than abandoning it.<\/p>\n FIGURE 2: PARTIAL AUTOMATION IS OFTEN BETTER<\/p>\n The robot gathers<\/p>\n The robot checks the obvious<\/p>\n A person decides<\/p>\n Faster to build, more reliable<\/p>\n Low-volume tasks.<\/strong> Twice a month is not worth building and maintaining.<\/p>\n Anything needing judgement.<\/strong> Encoding it as rules works until reality produces a case the rules do not cover.<\/p>\n Documents in varying layouts.<\/strong> That is a document AI problem, not screen automation.<\/p>\n Frequently changing interfaces.<\/strong> You will spend more repairing than you save.<\/p>\n Processes nobody has documented.<\/strong> Automate the confusion and it gets faster, not better.<\/p>\n Automating a bad process.<\/strong><\/p>\n If the process itself is wrong \u2014 unnecessary steps, duplicated work, a report nobody reads \u2014 automating it means doing the wrong thing faster.<\/p>\n Ask before building: should this task exist at all?<\/strong><\/p>\n Sometimes three of the eight steps are pointless, and removing them saves more than automating all eight would have.<\/p>\n FIGURE 3: BEFORE YOU AUTOMATE<\/p>\n Ask first<\/p>\n Common mistakes<\/p>\n The saving:<\/strong> minutes per run \u00d7 runs per month \u00d7 the cost of that time.<\/p>\n The cost:<\/strong> build time, plus licence, plus maintenance for as long as it runs<\/strong>.<\/p>\n That last part gets left out<\/strong>, and it is not small.<\/p>\n A rough guide:<\/strong> if the annual saving is not several times the annual cost, it is marginal. Marginal automations get abandoned when their author leaves.<\/p>\n Pick the most repetitive task, not the most complicated one.<\/strong><\/p>\n The temptation is to automate the biggest headache. Start with the simplest high-volume task \u2014 you learn the tooling, prove the value, and build credibility for the harder ones.<\/p>\n Then:<\/strong><\/p>\n RPA pays on high-volume, rule-based tasks with structured input.<\/strong><\/p>\n Check for an API or a direct URL first.<\/strong> Both beat screen automation, and both are frequently available when nobody looked.<\/p>\n Consider partial automation<\/strong> \u2014 the robot gathers, a person decides. Faster to build and more reliable than encoding judgement.<\/p>\n And ask whether the task should exist before making it faster.<\/p>\n Somebody repeating the same task every week?<\/p>\n Get in touch. We will check whether an API or an export already solves it \u2014 and if not, scope it with maintenance included in the number.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":" The test before anything else Four questions. A task needs a yes to all four. Is it high volume? The same thing, many times. Daily or weekly, not twice a month. Is it rule-based? Clear steps, no judgement. Is the input structured? Consistent format, same place each time. Is the source stable? The site or […]<\/p>\n","protected":false},"author":3,"featured_media":9368,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23],"tags":[],"class_list":["post-9365","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-robotic-process-automation"],"yoast_head":"\n1. Fetching published data<\/h2>\n
2. Extracting from a portal with no export<\/h2>\n
3. Moving data between disconnected systems<\/h2>\n
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4. Repetitive form filling<\/h2>\n
5. Reconciling two lists<\/h2>\n
6. Regular report assembly<\/h2>\n
7. Preparing work for a person<\/h2>\n
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What does not pay<\/h2>\n
The one that catches everyone<\/h2>\n
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Calculating whether it is worth it<\/h2>\n
A sensible first project<\/h2>\n
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The short version<\/h2>\n