Traditional RPA vs MadeEasy: what it takes to build, change, prove and pay for a process

31 October 2026 · By Micheal Akinkuotu, Founder

Robotic process automation (RPA) has come a long way from recording clicks. Today's leading platforms combine robots that work in applications with API calls, scripts, database queries, document reading and, since 2025, AI agents. Analysts still describe the category as software scripts that emulate a person's work in applications, and the way it is bought, built and run still follows from that: robots, built by developers, licensed one by one.

MadeEasy starts from a different place: the process itself. Your team describes the work, MadeEasy designs and runs it, and the same platform proves it, shows it, changes it and reports on it. This article compares the two on what decides the outcome for a business: who builds and changes the automation, how you know it is right, what you can see, how much it can handle, what else you get, and the full cost.

What RPA platforms do today

It is worth being precise, because the old picture of a robot that only copies clicks is out of date. A leading RPA platform today offers:

• Robots that work in desktop and web applications, attended (beside a person) or unattended (on their own, on a server).
• Integration through APIs, scripts and database queries, alongside the application work.
• Document understanding to read invoices, forms and IDs.
• Orchestration: a control room that schedules robots, queues work and keeps logs.
• AI agents, added from 2025, with an orchestration layer that passes work between agents, robots and people.

These are powerful tools. They are also a toolkit: each piece is built and joined by developers, usually in a centre of excellence, and many are licensed separately. That is where the differences with MadeEasy begin.

Where MadeEasy is different

1. Your team can change it, safely

In RPA, a change is development work: a developer opens the workflow in the studio, edits it, tests it and releases a new package, usually queued behind other requests to the automation team. The skills are specialised (the average RPA developer in the United States earns about $87,000, roughly ₦117 million, in base salary), and an analyst firm found that most large organisations have fewer than 10 robots in production; only 13% have more than 100.

In MadeEasy, each process has its own assistant. Ask it in plain words ("send the summary to the finance lead as well", "skip public holidays", "add a step that checks the totals") and it shows you exactly what will change before anything is applied. Every change is a new version you can compare and restore. Developers can also propose changes from code; these are tested and go live only when an administrator approves them.

2. It is proven before it goes live, and after every change

Every MadeEasy process carries its own tests: your past cases, each with what a correct result looks like. A process cannot go live until they pass on the exact version that would go live, and they run again after every change. A case can be set to run as if it were a particular day (a month-end, a weekend, a public holiday), so date rules are tested before the date arrives. In RPA, testing is a separate project, and at some vendors a separate product.

3. Every run is visible, for operations and for audit

Open any MadeEasy run and you see its flow light up step by step as it runs: what each step was given, what it decided and why, the files it read and wrote, what it cost, and who approved what, by name and role. The record stays after the run, with the version of the process that ran it and a full audit trail. Messages that look like an attack are refused and flagged for review.

An RPA control room shows which robot ran which job and its logs. A business view of the process (where cases wait, which steps fail, how long each takes) is usually a higher plan or an add-on; one major vendor lists its process mining add-on at $5,000 (about ₦6.75 million) per tenant a month.

4. Dashboards come with every process

Each MadeEasy process has its own dashboard from the day it goes live, built from what the process actually does: volumes, outcomes, exceptions, time and cost. Explore any measure by any field, save segments, set alerts when a figure crosses a threshold, and have a digest emailed on a schedule. Nothing is exported to a separate reporting tool first.

5. Complex processes and large data, as one process

Robots hold the data they work on in memory, and vendors' own documentation warns that working on large spreadsheets is memory-intensive and can slow down after several hundred iterations. Heavy data work is therefore handed to scripts and databases outside the robot, which then have to be built, secured and maintained separately.

A MadeEasy process is built for that work. Steps read data in parts straight from databases, files and mailboxes, write their results to files, and pass them on; decisions route each case; people sign off where your rules say; and one process can hand its results to another. In our own test of a daily card settlement reconciliation, a single day holds about two million settlement lines and three million ledger entries, read, checked and matched as one process.

6. More than the back office, on the same platform

RPA automates back-office tasks. MadeEasy runs any process that works as a conversation or as a triggered run, so the same platform, the same controls and the same audit trail cover work that robots are not built for:

• Customer support that is safe to put in front of customers. Answers from your own knowledge base on your website, in your app, and on WhatsApp, Telegram, Slack and email. Every message is screened: attacks are refused, suspicious messages get an answer but nothing acts on them, and each is flagged for review. Anything that changes something, such as a refund or a booking, waits for the customer's clear agreement or a person's approval.
• An assistant for executives. Each weekday morning it reads the day's calendar, prepares a briefing for each meeting, and sends it on Telegram and by email.
• Requests by email, chat and events. A process can start from an email, a chat message, a file arriving, a call from your own systems or a schedule, and one front door can route each request to the right process.
• Knowledge and memory. Each process can answer from its own documents and remember what it has learned about customers and cases, within your organisation.

RPA vendors now offer AI agents and chat assistants too, as further products to license and build on top of the robots.

RPA gives developers a toolkit to automate tasks. MadeEasy gives the business processes it can run, change, prove and see for itself.

What it costs

RPA pricing is built around robots: a licence for each unattended robot, for each attended user and for each developer's studio, often a control room, and add-ons for documents, agents, testing and analytics. One major vendor publishes $150 (about ₦202,500) a month for one unattended robot running on your own machine ($215, about ₦290,000, when the vendor hosts it), and each robot runs one flow at a time, so five processes running at the same moment need five robots.

The licences are the smaller part. Analysts found that for every $1 spent on RPA software, $3.41 was spent on services to make it work, and that robots in production were busy only about 15% of the time: capacity paid for and left idle.

An example at list prices. Ten unattended processes on that published robot price come to at least $1,500 (about ₦2 million) a month, $18,000 (about ₦24.3 million) a year, in robot licences alone; at the analysts' ratio, the services to build and keep them running come to about $61,000 (about ₦82 million) more. Ten processes on MadeEasy Cloud cost $90 (₦90,000) a month, $1,080 (₦1,080,000) a year, plus what your AI provider charges for the reading and writing they do; if we build all ten as Medium processes, that is $5,000 (₦6,000,000) once, with the first year included. Your figures will differ; the shape of the difference rarely does. RPA prices are converted at about ₦1,350 to the dollar, the official rate on 31 October 2026; MadeEasy prices are our fixed naira prices for customers in Nigeria.

One process on MadeEasy: daily card settlement reconciliation

Every business day, a card issuer must prove that what the card scheme settled matches what its own ledger posted: ledger entries from the core banking database against settlement reports downloaded from the scheme's portal behind a password and an authenticator code. Here is the whole process as MadeEasy runs it:

Automatic: the system does it the same way every time, following your rules. AI: reads documents and writes summaries. Your team: makes every decision.

The process was described in plain words; its date rules were tested on a public holiday and a weekend before it went live; every run shows its nine steps as they happen; and its dashboard shows its runs and their outcomes day by day. If any step fails, the run stops there and says why, and nothing is matched against incomplete data. See reconciliation automation for bank statements, payment files and sub-ledgers.

Moving from RPA to MadeEasy

There is no big switch-over. Move one process at a time, starting with the one that costs you most in licences, upkeep or manual exceptions; it runs alongside its robots until your team is satisfied, then the robots are retired and their licences ended. Each process moved also gains what robots never gave it: your team can change it, every run is visible, it has its own dashboard, and it can talk to customers or staff when the process needs it.

1. Weeks 1 to 2

   Choose the process. The one whose robots cost most to keep running, or whose exceptions take the most time by hand.

2. Weeks 2 to 4

   Describe and connect it. Your team describes the work; MadeEasy connects the databases, files, mailboxes and systems it needs.

3. Weeks 4 to 6

   Test on past cases. Go-live is refused until MadeEasy agrees with the results your team signed off.

4. Weeks 6 to 8

   Run alongside, then switch. Both run in parallel until your team is satisfied, then the robots are retired and their licences ended.

Questions leaders ask

Sources

1. An industry analyst firm's RPA research, as reported by a technology publication: $3.41 on services for every $1 of software, most enterprises with fewer than 10 robots in production and 13% with more than 100, robots utilised about 15% of the time.
2. A global professional services firm's report on robotic process automation, as quoted in an automation vendor's analysis of why projects fail: "30 to 50 percent of RPA projects initially fail".
3. A research firm's 2025 evaluation of RPA vendors: RPA defined as software scripts that emulate human interaction with application user interfaces.
4. A major vendor's published prices: $150 per unattended robot a month (one flow at a time per robot), $215 hosted, and a process mining add-on at $5,000 per tenant a month.
5. A leading RPA vendor's plans: agents, document processing and orchestration in its Standard plan, process monitoring in its Enterprise plan, testing as a separate product.
6. An RPA vendor's documentation of its limitations: spreadsheet work is memory-intensive and may slow after several hundred iterations.
7. A salary survey of RPA developers in the United States: average base salary $87,445 (April 2026).
8. MadeEasy pricing.