Last Updated: October 15, 2026
At a global bank, a process that copied API data into Excel by hand took two hours a run. It now takes five minutes, end to end, and no software robot clicks through a screen to do it.
RPA development services cover finding the right processes, building and testing software bots, running them, and fixing them when the systems they touch change. The best providers also tell you when a bot is the wrong tool. This guide explains what the services include, when RPA fits, what it costs, and how to choose among RPA companies.
What’s in this article: What they are · What’s included · When RPA fits · Provider types · Cost · How to choose · Banking and regulated work · Results · What to do next · Scadea services · FAQ
What are RPA development services?
They are outside teams that assess, build, test, deploy and maintain software bots that copy, enter and check data across business applications the way a person would.
RPA development services help a company automate repetitive, rules-based computer work with software bots. A provider assesses which processes are worth automating, designs and builds the bots, tests them against real exceptions, deploys them with monitoring, and maintains them as applications change. Good providers also recommend APIs or workflow tools when those fit better.
Robotic process automation works through the same screens and files a person uses. That makes it fast to apply to old systems with no API, and it is also why bots need upkeep. When a screen changes, the bot has to change with it.
What do RPA implementation services include?
Most engagements run through six stages: process assessment, design, build, testing, deployment with monitoring, and ongoing maintenance and support.
- Process assessment. Map how the process really runs, count volumes and exceptions, and rank candidates by hours saved and risk. Our guide to process mining before automation covers how to find what’s worth automating.
- Design. Choose the method for each step (bot, API, workflow or document AI) and define how exceptions reach a person.
- Build. Develop the bots and integrations, with logging and error handling from the start.
- Testing. Run against real historical cases, including the messy ones, before go-live.
- Deployment and monitoring. Schedule the bots, assign their accounts and permissions, and set alerts for failures.
- Maintenance. Fix bots after application updates, tune them as volumes grow, and retire the ones that no longer pay off.
RPA consulting services often stop after step two. Ask early whether a provider will also run and maintain what it builds, because most of the long-term cost sits in steps five and six.
When is RPA the right automation tool?
RPA fits stable, rules-based screen work on systems without usable APIs. APIs, workflow platforms or document AI fit better when they are available.
| Method | Best for | Watch for |
|---|---|---|
| API or integration platform | Moving data between systems that offer APIs | Needs API access and some development |
| RPA bot | Legacy or third-party applications with no API, where the steps are stable | Breaks when screens change, so it needs ongoing maintenance |
| Workflow or low-code platform (such as Appian, Pega or Camunda) | Multi-step processes with approvals, handoffs and audit trails | A larger build than a single bot |
| Intelligent document processing | Reading invoices, forms and other documents | Needs a review step for low-confidence fields |
| Python scripts or data workflows (such as KNIME) | Report building, reconciliation and data preparation | Needs developers who test and document the code |
| AI agents | Tasks that need judgment on unstructured inputs | Needs evaluation, guardrails and human review |
Most real processes mix several of these. A bot might pull data from an old mainframe screen, a workflow route it for approval, and a document AI step read the attachments. Our post on hyperautomation and RPA explains how the pieces fit together.
Python robotic process automation is also an option. The open-source RPA Framework libraries work with Robot Framework or plain Python, carry an Apache 2.0 license, and were last updated on PyPI in October 2026.
What types of RPA companies are there?
Buyers choose among embedded automation teams, RPA vendors’ own services arms, large consultancies, freelance bot developers and managed RPA-as-a-service providers.
| Provider type | How it works | Best for | Watch for |
|---|---|---|---|
| Embedded automation team (Scadea’s model) | Automation engineers join your teams, pick the method per process, and the provider answers for quality and continuity | Ongoing automation programs across several systems, especially in regulated industries | Takes some of your managers’ time in the first weeks |
| RPA vendor’s professional services | The software maker’s own team builds on its platform | Deep product questions and complex platform setups | Every answer tends to be a bot on that vendor’s platform |
| Large consultancy | A broad firm runs strategy, a center of excellence and delivery | Enterprise-wide programs with a large budget | Higher rates, and senior people who leave after the pitch |
| Freelance bot developer | An individual builds bots hourly or per project | One or two simple bots | No bench, so bots stall when that person is unavailable |
| RPA as a service | A provider hosts, runs and maintains bots for a monthly fee | Companies that want results without running bot infrastructure | Less control over the code, and exit terms that are hard to unwind |
Scadea publishes this guide and runs the first model. Its teams build automation on several platforms, so the choice of method follows the process. Robotic process automation service providers tied to a single platform can do excellent work; just know that their default answer is that platform.
How much do RPA development services cost?
Budget for four things: software licenses, the build, running the bots, and maintenance. Licenses for one unattended bot can run $150 to $215 a month.
Microsoft’s published Power Automate pricing gives a sense of the license side. Power Automate Premium costs $15 per user per month, paid yearly. An unattended bot under Power Automate Process costs $150 per bot per month, and the Hosted Process option costs $215. Microsoft notes that a bot “can execute one unattended desktop flow run at a time,” so high-volume processes may need several. Other RPA platforms price differently, often through enterprise quotes.
Build costs depend on the number of steps, applications and exceptions. A single, well-documented process is a small project; a process that touches five systems and has dozens of exception paths is not. Maintenance is the line buyers most often leave out of the budget. Every application upgrade can break a bot, so plan for regular fixes from day one.
Judge the cost against hours returned and errors avoided. Our guide to measuring automation ROI beyond cost savings covers the measures that count.
How do you choose an RPA consulting partner?
Pick a partner that assesses processes before building, recommends the right method for each step, tests exceptions, secures bot access and maintains what it builds.
Check that they assess first
A strong partner asks for volumes, exception rates and how the process really runs before quoting. A partner that quotes bots from a process name alone is guessing.
Ask when they would not use a bot
Ask for a recent example where they recommended an API, a workflow tool or a process change in place of RPA. A clear answer shows the advice follows the problem.
Look at exception handling and testing
Bots fail on the cases nobody wrote down. Ask how they test against real historical cases, how a bot hands an exception to a person, and what the logs show when something goes wrong.
Check bot security
Each bot should run under its own named account with only the access it needs, store passwords in a secure credential vault, and log every action. Ask who can change a bot in production and how those changes are approved.
Confirm maintenance and monitoring
Ask how they learn about application updates before they break a bot, how fast they fix a failed bot, and how they report bot health each month.
Put ownership and exit in writing
You should own the bot code, process documentation and run books, and the provider should support a handover if you move the work in-house.
How is RPA used in banking and other regulated industries?
Banks use RPA for reconciliation, regulatory reporting, account maintenance and compliance data, with audit logs, access controls and human review built in.
RPA in banking works best on high-volume back-office tasks: reconciling records across systems, gathering data for compliance reports, and checking transactions against rules. The controls matter as much as the bot. Auditors and examiners expect to see who approved each automation, what it can access, and a log of what it did.
When an outside firm builds or runs bots, the provider falls under third-party risk management. US banks follow the interagency guidance on third-party risk management, so ask any provider for its security certifications and how it handles access to production systems. Insurers and healthcare organizations face similar checks under their own regulators.
What results should you expect?
Expect manual reports, reconciliations and data loads to drop from hours or days to minutes, with measured baselines and logs to back the numbers.
Here is what changed in recent Scadea engagements, each measured against the client’s own baseline:
- At a global bank, a report built by hand from spreadsheets and databases went from two hours to under ten minutes after the team rebuilt it as a KNIME workflow with validation and error logging.
- At the same bank, the API-to-Excel process in the opening went from two hours to five minutes.
- The bank’s compliance function now has 90% of its risk data sources fed automatically, at 95% accuracy.
- The team also automated reconciliation that compares records across systems, flags mismatches and produces exception reports.
- At a global industrial company, a data load that took seven days now runs in one hour, with 100% load accuracy.
The two reporting fixes used KNIME workflows and API connections, with no screen-clicking bot involved. More results are in our write-up of what embedded specialists deliver.
What to do next
List five processes your team repeats every week. For each, note the volume, the minutes per case, the systems involved and whether those systems have APIs. Share that list with any provider you are considering. Their recommendations will show quickly who matches the method to the process and who has one answer for everything.
Scadea services for process automation
Scadea’s automation teams work inside client teams in banking, insurance, healthcare and manufacturing, with 300+ consultants across 8 countries and ISO 9001 and ISO 27001 certification. Intelligent process automation covers bots, workflow automation and the reporting automation described above, and hyperautomation and low-code covers multi-step processes built on workflow platforms.
Intelligent document processing handles document-heavy steps, and data integration and iPaaS covers API connections between systems.
Frequently Asked Questions
What is RPA as a service?
RPA as a service is a model where a provider hosts, runs and maintains bots for a monthly fee, so the client gets automated processes without running the bot infrastructure itself.
How long does an RPA implementation take?
A single, well-documented process can go live in a few weeks. Programs that span many processes and systems run over several quarters, with assessment and testing taking much of the time.
Which RPA tool is best?
It depends on your systems, licenses and team skills. UiPath, Automation Anywhere, SS&C Blue Prism and Microsoft Power Automate are common choices, and open-source Python libraries suit teams with developers.
Can you build RPA with Python?
Yes. Open-source libraries such as RPA Framework, used with Robot Framework or plain Python, automate browsers, desktop applications, email and files without a commercial license.
What is the difference between RPA and AI agents?
RPA follows fixed rules through screens and files. AI agents interpret unstructured inputs and decide steps, so they need evaluation and human review that rules-based bots do not.
How much maintenance do RPA bots need?
Every bot needs monitoring and fixes after the applications it uses change. Plan maintenance into the budget and contract from the start, with clear response times for failed bots.
Which processes should not be automated with RPA?
Skip processes that change often, depend on judgment, have no clear rules, or run on systems with good APIs. Fix a broken process before automating it.
How do I compare RPA consulting services?
Give each provider the same list of processes, then compare their questions, the method they propose for each step, their testing and security approach, maintenance terms and references.
Read next: Enterprise Hyperautomation: Combining Low-Code, AI, and Process Mining
