Robotic Process Automation Services
Last updated: September 10, 2026
Robotic process automation uses software bots that click, type, and read screens the way a person would, to handle repetitive tasks on systems that don’t offer a clean way to connect directly, no judgment calls involved, just consistent execution.
RPA gets a bad reputation from projects that tried to automate something that changes too often, or that actually needed judgment, not just repetition. Used on the right task, it’s still one of the most reliable, boring-in-a-good-way tools available. This page builds on our general AI and machine learning work and covers where bots genuinely fit, and where they don’t.
What a Bot Actually Does
An RPA bot doesn’t understand anything. It follows a fixed script against a screen, clicking the same buttons, typing into the same fields, reading the same location on the page, exactly the way a person trained to do one task all day would, minus the coffee breaks and the typos.
That’s the whole point, and it’s also the whole limitation. Change the layout of the application it’s watching, and the bot breaks until someone fixes the script. Feed it an input that doesn’t match what it expects, and it doesn’t improvise, it stops. If the task needs judgment (reading an unclear document, deciding what to do with an edge case) that’s AI automation‘s job, not a bot’s.
Where bots earn their keep is exactly the tasks nobody wants to do by hand: re-entering the same data into three systems that don’t talk to each other, running the same nightly report, pulling values from a 15-year-old application that has no API and never will.
Attended vs. Unattended, and Why It Matters
An attended bot runs alongside a person, kicked off manually, handling the tedious middle of a task while a human still starts and finishes it. An unattended bot runs on its own schedule, no human required, usually for high-volume, low-risk, fully repeatable work.
Most clients start with attended bots on a task someone already does daily, then graduate the highest-volume, most stable ones to unattended once the script’s been stable for a while. Going straight to unattended on a task that’s still evolving is how a lot of RPA projects earn their bad reputation.
Where This Fits Next to Everything Else We Build
| RPA (this page) | AI Automation | AI Agents | |
|---|---|---|---|
| Makes judgment calls | No, follows a fixed script | Yes, on defined exceptions | Yes, across a broader task |
| Breaks when the screen changes | Yes, needs a script update | More tolerant, not immune | Adapts within its tool access |
| Best fit | Legacy systems with no API | A known process with messy exceptions | Open-ended, multi-system tasks |
A lot of real engagements use two of these together: a bot handles the mechanical clicking, and an AI layer decides what to click on. See Business Process Automation if you’re not sure which combination your process needs.
Who This Is For (and Who It Really Isn’t)
A good fit if
- The task is repetitive, rule-based, and rarely changes shape
- The system involved has no usable API, so a bot mimicking the screen is genuinely the practical option
- You want fast, cheap automation on one contained task, not a multi-month build
Probably not yet if
- The task involves reading something ambiguous or making a real judgment call, that’s AI automation, not this
- The application’s UI changes frequently, the bot will need constant babysitting
- The system has a clean API already, a direct integration is usually more stable than a bot
How We Build It
Record the actual task
We watch someone do the task the normal way before writing a single line of automation.
Script the happy path first
The bot handles the standard case reliably before we touch a single edge case.
Handle the exceptions explicitly
Anything outside the script gets flagged for a human, not silently ignored or guessed at.
Run attended before unattended
A person triggers and watches the bot run for a stretch before it’s trusted to run on its own.
Monitor for screen changes
The single biggest cause of bot failure is an application update nobody warned us about. We build in monitoring so it’s caught fast, not discovered three days later.
Frequently Asked Questions
Is RPA outdated now that AI agents exist?
No, and that’s a common misread. Bots are still the cheapest, most reliable option for pure repetition on a stable screen. Agents cost more to build and are meant for tasks that need judgment. Using an agent for pure repetition is overkill, not an upgrade.
What breaks a bot most often?
An application interface changing without warning. That’s the honest, unglamorous answer. We build monitoring specifically to catch this fast rather than pretend it won’t happen.
Can a bot handle exceptions on its own?
Not by design, and that’s a feature, not a gap. A bot flags anything outside its script for a human rather than guessing. If you need it to actually make a call on the exception, that’s an AI automation layer running alongside it, not the bot itself.
Which RPA platform do you use?
Depends on your environment. If you’re already in the Microsoft ecosystem, Power Automate Desktop is usually the practical choice. Outside that, we work with the platform that fits your existing systems rather than pushing one vendor regardless of fit.
How fast can a bot go live?
A single, well-defined task on a stable interface can move from recording to a working attended bot in a couple of weeks. Multiple systems or a less stable interface stretches that out.
Find the Task Nobody Wants to Do by Hand
If there’s a task on your team that’s purely repetitive and everyone dreads it, that’s usually the fastest, cheapest automation win available. Tell us what it is.