SmartCodeIT service
RPA and work bots
We automate repetitive tasks in software, panels, Excel, browsers, e‑mail, and systems without a convenient API.
We build RPA bots that perform rule-based tasks in the applications used by the company: they log in to panels, copy data, download reports, fill in forms, compare files, generate documents, and save results in an agreed location. RPA is particularly useful when a system is important for the company but has no API, integration would be expensive, or the process first needs to be quickly standardized.
Bots for applications without an APIExcel, PDF, e‑mail, and panelsReports and retyping dataForms and legacy systemsLogs, alerts, and monitoringRPA + OCR + AI where it makes senseProcess audit before implementation
SmartCodeIT RPA Automation LayerHover over or select a diagram element
Sources of manual work
SmartCodeIT RPA Bot
Outputs
datebotvalidationsystemlogalert
Sources of manual workExcel
Data source or triggering event. Excel can trigger the process or supply SmartCodeIT RPA Bot with data that subsequently feeds statuses, automation and reporting.
RPA does not have to replace systems. It is often a practical bridge between manual work and full API integration or a dedicated application.
Quick answer
RPA and work bots: when does it make sense and where should you start?
At SmartCodeIT, this means designing a practical operating system around the company's process: data, statuses, integrations, automation, reporting and exception control. We define scope after reviewing the process, tools, data quality, risks and the expected outcome of the first stage.
Important: automation supports the process and team decisions, but it does not replace strategy, data quality, business accountability or human control in high-risk matters.
Quick selection
Not sure where to start?
Choose the closest business problem. This helps identify an audit, MVP or broader implementation.
I have a repetitive process, but I do not know whether RPA makes sense
We start with an audit of the process, risks, APIs, exceptions, and interface stability.
Employees retype data between systems
We design a bot to download, validate, transfer, and report data.
The system has no API, but the process needs to be automated
We build a controlled bot with a schedule, logs, alerts, and an exception procedure.
Service overview
RPA automates actions that a human performs in an application interface
RPA and work bots, Robotic Process Automation, means building software bots that perform repetitive actions in applications the way a user would: they click, enter data, copy values, download files, fill out forms, read reports, and move information between systems.
A classic RPA bot is rule-based and follows predefined steps. AI can support RPA for document reading, content classification, data summarization, or exception handling, but high‑risk decisions should remain under human control.
We do not start by recording clicks. First we review the process, data sources, time spent, exceptions, systems, API availability, interface stability, and whether the bot should run with human involvement or on a schedule.
- repetitive process
- well‑described steps
- known inputs
- verifiable outcome
- stable interface
- no convenient API
- logs and alerts
- exception procedure
When it makes sense
When is it worth implementing an RPA bot?
RPA is most useful for rule-based, repetitive, and measurable processes that cannot be easily integrated in a classic way via API.
The system has no convenient API
The company must work in a panel, portal, ERP, CRM, or desktop application that cannot be easily connected with a classic integration.
The team retypes data between systems
Employees copy data from e‑mails, PDFs, Excel, portals, or reports into CRM, ERP, accounting systems, or spreadsheets.
Reports are downloaded manually
Someone regularly logs into a panel, selects a date range, downloads a file, and forwards it.
The process is rule-based and repetitive
The task has clear steps, repeats regularly, and does not require a creative decision each time.
Fast automation is needed without rebuilding the system
The company wants to relieve the team without immediately building a full application or integration.
The system is legacy
The application is old, important for the company, but difficult to integrate, without an API, or without extension options.
Files and forms appear cyclically
A bot can organize files, rename them, download attachments, and fill in forms.
Traceability of actions matters
RPA can store logs, statuses, errors, and operation history, which makes the process easier to control.
The company wants to test automation potential
A pilot bot can be a step before a target API integration, web application, or a larger automation program.
Who it is for
For companies with repetitive work in applications, panels, and files
Companies with systems without an API
For companies that use critical tools but cannot easily integrate them with the rest of the process.
- supplier portals
- legacy systems
- B2B panels
Administration and back office
For teams that retype data, download files, and organize documents every day.
- Excel
- forms
Accounting and finance
For companies automating the download of invoices, confirmations, reports, and summaries.
- invoices
- payments
- exports
Sales CRM and offer automation
For teams that manually move leads, statuses, portal data, and sales reports.
- leads
- CRM
- quotes
E‑commerce and operations
For stores that manually handle orders, stock levels, labels, statuses, and marketplace reports.
- orders
- marketplace
- warehouse
HR and recruitment
For teams processing forms, CVs, employee documents, and onboarding statuses.
- onboarding
- CV
- reminders
Companies with cyclic reports
For organizations that download data from panels, merge files, and send reports.
- CSV
- Excel
- dashboard
Companies working in many panels
For teams that log in to several portals and perform similar actions in different systems.
- portals
- logistics
- administration
Companies after an automation audit
For companies that know which processes are repetitive and want to implement the first test bot.
- RPA pilot
- quick win
- roadmap
Companies planning integrations
For companies that ultimately want an API or dedicated system but need a fast transition stage.
- RPA stage 1
- API stage 2
- dashboard
Applications
What can we implement with RPA?
A bot should execute a specific, repetitive scenario with logs, validation, exception control, and a clearly defined moment for human intervention.
Bot for downloading reports
The bot logs in to a panel, selects dates, downloads a file, saves the output, and sends a status.
Logindatesfilesavelog
Reports are downloaded regularly without manual logins.Bot for retyping data
The bot retrieves data from one source and enters it into another system after validation.
Sourcevalidationsystemconfirmation
Less manual copying and fewer mistakes.Bot for handling e‑mails
The bot receives messages, downloads attachments, saves files, and triggers the next process.
Mailboxruleattachmenttask
Messages and files reach the correct process.Bot for PDF and OCR
The bot combines data extraction from documents with validation and entering data into a system.
PDFOCRvalidationsystem
Data from documents is moved into systems faster.Bot for Excel
The bot organizes spreadsheets, merges files, performs validations, and generates summaries.
FolderExcelmergereport
Repetitive reports are generated automatically.Bot for a supplier portal
The bot logs in to the portal, downloads data, compares values, and records an alert.
Portallogindatealert
Data from the portal is regularly checked without using an API.Order status bot
The bot updates statuses in a panel or portal based on data from the system.
Listpanelstatuslog
Statuses are updated faster and more predictably.Data comparison bot
The bot compares two sources and generates a discrepancy report.
Source ASource Bdifferencesreport
The team reviews only the highlighted discrepancies.Online forms bot
The bot fills in repetitive forms based on input data.
Dataformshipmentconfirmation
Repetitive forms are processed faster.Legacy system bot
The bot executes a sequence of steps in a legacy system without rebuilding the application.
Legacystepsexportlog
The legacy system can remain part of the process.File archiving bot
The bot organizes folders, renames files, categorizes documents, and saves an index.
Foldercategoryarchiveindex
Files are organized according to defined rules.Portal monitoring bot
The bot checks status in the portal and sends an alert when something requires action.
Portalconditionalertreport
The company responds faster to changes and errors.RPA bot with task queue
The bot processes tasks from a queue, saves status, retries, and an execution report.
Tasksqueuebotretryreport
The process can handle a larger number of cases with exception control.Attended bot
An employee starts the bot, the bot prepares data and waits for approval.
Employeebotstepsapproval
The bot supports the employee but does not run without supervision.Unattended bot
The bot runs on a schedule, executes the process, saves a log, and sends an alert.
Schedulebotlogalert
The process can run cyclically outside working hours.RPA as a step before an API
We first deploy an RPA pilot, measure the effect, and then decide on the target integration.
Manual processRPA and work botsmeasurementAPI
The API decision is based on real data.Interactive selection
Explore an implementation scenario
Select a card to review the workflow, participating systems, input data, risks and recommended package.
Scenario
Reports are downloaded regularly without manual logins.
Logindatesfilesavelog
Options
RPA and work bots, API, no-code, AI or a custom application?
RPA is not always the best answer. Before implementation, we check whether a more stable option would be API integration, simpler no-code, a script, AI, a dedicated panel, or a hybrid model.
API integration
Best when the system has a stable API and the process is intended to run long term.
No-code / low-code
A good choice for simple flows, forms, alerts, and process tests.
RPA bot
Best for panels without an API, desktop applications, and repetitive screen work.
RPA + OCR
For documents, scans, invoices, and PDFs that need to be read and transferred into a system.
RPA + AI
For classification, summaries, or recommendations that are then routed to human control.
Custom application
Better when the process is critical and it is worth replacing manual work with a custom panel.
| Option | Start time | Starting cost | Flexibility | Maintenance | When to choose |
|---|---|---|---|---|---|
| API integration | fast | lower | medium | low / medium | Best when the system has a stable API and the process is intended to run long term. |
| No-code / low-code | fast | lower | medium | low / medium | A good choice for simple flows, forms, alerts, and process tests. |
| RPA bot | medium | medium | high | planned | Best for panels without an API, desktop applications, and repetitive screen work. |
| RPA + OCR | medium | medium | high | planned | For documents, scans, invoices, and PDFs that need to be read and transferred into a system. |
| RPA + AI | longer | higher | high | planned | For classification, summaries, or recommendations that are then routed to human control. |
| Custom application | longer | higher | high | planned | Better when the process is critical and it is worth replacing manual work with a custom panel. |
Architecture
RPA bot as a controlled operational layer
We design input data, rules, bot steps, target systems, human control, logs, alerts, monitoring, and maintenance after system changes.
- data sources
- screen steps
- validation
- technical account
- secrets
- schedule
- task queue
- retry
- logs
- alerts
- human approval
- exception procedures
- status dashboard
- maintenance plan
Data sources and RPA environments
Input data
emailPDFExcelportalfolder
Rules
validationmappingconditionsqueue
Bot
loginformsclicksdownloads
Control
logsretryalertsapproval
Monitoring
dashboardhistoryerrorsmaintenance
Control
RPA requires security, logs, and exception handling
A production bot should run with limited permissions, record execution history, display errors, and have a response procedure if a source system changes its interface or data becomes inconsistent.
bot technical accountleast privilegesecure secretsexecution logsrun historyerror alertretryretry limittask queuehuman approvalexception procedurekill switch
Quality control
RPA + OCR + AI should have human control
OCR and AI can help read a document, classify an email, or suggest a path, but low-confidence data, financial decisions, disputed claims, and exceptions should be routed for verification.
status for verificationconfidence scorehuman approvalexception listdocument controlshipment blockAI query logdata sourcestest modeerror report
Packages and pricing
RPA and work-automation bot packages
Cost depends on system stability, number of steps, exceptions, logging, scheduling, and monitoring.
RPA consultation
from $155 netFor companies that want to quickly check whether a process qualifies for RPA.
- process discussion
- initial RPA/API assessment
- risks
- next step
Process audit for RPA
from $501 netFor companies before deciding on their first bot.
- process map
- API analysis
- exception analysis
- UI risk assessment
- RPA/API recommendation
- estimated budget
Discovery and bot design
from $1,291 netFor processes that require a detailed step map and a feasibility test.
- step scenario
- input data
- validations
- logs
- monitoring design
- acceptance criteria
RPA Bot Start
from $1,818 netFor a single simple screen-based or file-based process.
- 1 scenario
- data validation
- execution log
- guideline
- 14 days of support
RPA Bot Business
from $3,400 netFor a process with panels, files, forms, reports, and alerts.
- several steps
- schedule
- alerts
- retry
- exception handling
- 30 days of support
RPA bot with OCR
from $4,454 netFor PDF documents, scans, emails, and invoices that require data extraction.
- OCR
- field validation
- status for verification
- RPA to system
- error report
- 45 days of support
RPA + AI
from $5,244 netFor processes where AI supports classification, summaries, or recommendations for human review.
- AI classification
- sources
- query log
- human approval
- quality testing
- 45 days of support
Unattended bot with monitoring
from $6,562 netFor recurring processes that run on a schedule.
- schedule
- technical account
- monitoring
- alerts
- status dashboard
- maintenance plan
RPA for legacy system
from $7,880 netFor older systems, desktop applications, and industry portals without an API.
- UI analysis
- stability test
- error handling
- fallback mode
- documentation
- 45 days of support
RPA program / multiple bots
from $13,151 netFor companies planning several bots, a job queue, monitoring, and a maintenance standard.
- RPA roadmap
- multiple scenarios
- queue
- monitoring
- procedures
- administrator training
Ongoing RPA support
from $395 net per monthFor running bots that require monitoring and fixes after system changes.
- monitoring
- log analysis
- fixes after UI changes
- monthly report
- development recommendations
Net prices. RPA licenses, hosting, system accounts, VPN, CAPTCHA, external APIs, and monitoring tools may be billed separately.
| Package | Starting price | Time | Scope | Integrations | Support | Who it is for |
|---|---|---|---|---|---|---|
| RPA consultation | from $155 | 60–90 min | process discussion, initial RPA/API assessment, risks | yes / optional | depending on scope | For companies that want to quickly check whether a process qualifies for RPA. |
| Process audit for RPA | from $501 | 3-7 days | process map, API analysis, exception analysis | yes / optional | depending on scope | For companies before deciding on their first bot. |
| Discovery and bot design | from $1,291 | 1-2 weeks | step-by-step scenario, input data, validations | optional | depending on scope | For processes that require a detailed step map and a feasibility test. |
| RPA Bot Start | from $1,818 | 1-3 weeks | 1 scenario, data validation, execution log | optional | 14 days of support | For a single simple screen-based or file-based process. |
| RPA Bot Business | from $3,400 | 3–6 weeks | several steps, schedule, alerts | optional | 30 days of support | For a process with panels, files, forms, reports, and alerts. |
| RPA bot with OCR | from $4,454 | 4-8 weeks | OCR, field validation, status for verification | yes / optional | 45 days of support | For PDF documents, scans, emails, and invoices that require data extraction. |
| RPA + AI | from $5,244 | 4-8 weeks | AI classification, sources, query log | optional | 45 days of support | For processes where AI supports classification, summaries, or recommendations for human review. |
| Unattended bot with monitoring | from $6,562 | 4-8 weeks | schedule, technical account, monitoring | yes / optional | depending on scope | For recurring processes that run on a schedule. |
| RPA for legacy system | from $7,880 | 6-10 weeks | UI analysis, stability test, error handling | optional | 45 days of support | For older systems, desktop applications, and industry portals without an API. |
| RPA program / multiple bots | from $13,151 | 8-12 weeks | RPA roadmap, multiple scenarios, queue | optional | depending on scope | For companies planning several bots, a job queue, monitoring, and a maintenance standard. |
| Ongoing RPA support | from $395 per month | ongoing | monitoring, log analysis, fixes after UI changes | optional | depending on scope | For running bots that require monitoring and fixes after system changes. |
Budget
Complexity and cost chart
The chart is indicative. Final pricing depends on the process, date, integrations, automation, technical requirements and maintenance scope.
RPA consultation1
Process audit for RPA2
Discovery and bot design3
RPA Bot Start4
RPA Bot Business5
RPA bot with OCR6
RPA + AI7
Unattended bot with monitoring8
RPA for legacy system9
Estimation
What does the implementation cost depend on?
Scope advisor
What type of RPA bot does your company need?
Choose indicative answers. The result is a starting point for discussion, not an automated quotation.
Initial recommendationRPA consultation
Send your answers and receive a recommendationProcess
What does implementation look like?
1
Consultation and process
We describe the manual activity, systems, date, frequency, exceptions, and expected outcome.
2
RPA-fit assessment
We verify whether RPA, API, no-code, a script, AI, or a dedicated application is better.
3
Bot step map
We break down login, fields, clicks, validations, files, statuses, and human decision points.
4
Control design
We design logs, alerts, retries, technical account, secrets, constraints, and the exception procedure.
5
Bot development
We configure the environment, automation, schedule, validations, auxiliary integrations, and reports.
6
Scenario tests
We test correct data, incorrect data, missing file, status change, process interruption, and manual verification.
7
Production deployment
We run the bot on real data, monitor the first runs, and adjust rules.
8
Initial monitoring
We observe logs, alerts, retries, exceptions, and system stability in the initial operating period.
9
Maintenance and development
We update the bot after system changes and decide whether to ultimately move to an API or an application.
Project outcome
What do you receive after implementation?
process analysisRPA/API/no-code/AI recommendationbot step mapRPA botenvironment configurationactivity logsalertserror handlingexecution reportuser manualtechnical documentationscenario testsmaintenance recommendationsoptional status dashboard
Outcomes
What can a company gain after implementing RPA?
After implementing RPA, a company may reduce manual retyping of data, shorten handling time for repetitive tasks, and improve control over statuses, errors, and the bot’s activity history.
number of runs
A metric to observe after implementation.
processed records
A metric to observe after implementation.
execution time
A metric to observe after implementation.
average time per record
A metric to observe after implementation.
- less manual data re-entry
- shorter time for repetitive tasks
- fewer operational mistakes
- better status control
- bot activity history
- faster report retrieval
- automatic file organization
- data for a decision on API or application
Before: manual loginAfter: schedule + status
Before: kopiuj/wklejAfter: bot + validation
Before: email and PDF manuallyAfter: OCR + RPA + exceptions
Before: no statusAfter: logs, alerts, and report
The results are illustrative. The actual effect depends on the quality of the process, date, traffic, team, and implementation scope.
Monitoring
An RPA bot should be measurable
We measure runs, processed cases, execution time, successes, errors, exceptions, retries, last successful execution, and the number of human interventions.
- number of runs
- processed records
- execution time
- average time per record
- number of successes
- number of errors
- number of exceptions
- human interventions
- last successful execution
- number of retries
- interface stability
- changes after system updates
DashboardRPA Ops Dashboard
schedule
processed
last 30 days
to analyze
human approval
median
08:15
sent
login
recommendations
Scenarios
Example implementation scenarios
Recurring report downloads
The bot logs into the panel, selects the date, downloads the file, saves it in a folder, and sends the status.
The report is available without manual work.Data from e-mail to system
The bot reads messages, downloads attachments, validates data, and completes the record in the CRM.
Less manual work and faster ticket handling.PDF invoices to accounting
OCR reads the data, the bot validates the fields and passes the data to the system or to verification.
Exceptions are still routed to a human.Comparing orders and invoices
The bot pulls both sources, compares values, and generates a difference report.
The team checks only discrepancies.Updating statuses in a portal
The bot logs into the portal and updates statuses based on data from the internal system.
Less manual work and more up-to-date information.Legacy system without API
The bot performs repetitive steps in the interface, saving logs and statuses.
The legacy system stays in the process without costly rebuilding at the start.Bot assisting an employee
An attended bot prepares data, fills in the form, and waits for approval.
The employee keeps control while the bot accelerates the work.RPA before API integration
We first implement a pilot and measure the impact, then decide on an API or an application.
The investment decision is based on real data.Decision
Does RPA make sense for this process?
RPA makes sense when the process is repetitive, rule-based, well documented, and runs in a system without a convenient API. If the process is chaotic, the interface unstable, or the system has a good API, it is worth starting with an audit, integration, or an application.
It is worth implementing RPA when
- the process is repeatable
- steps are well described
- input data are known
- the result can be verified
- the interface is relatively stable
- there is no convenient API
- errors have a procedure
- the run can be monitored
First it is worth starting with an audit or integration
- the system has a good API
- the interface changes frequently
- the process requires many human decisions
- CAPTCHA or 2FA blocks automation
- data are inconsistent
- there is no process owner
- there is no maintenance plan
- an error may generate high cost
Ecosystem
RPA technologies and tools
Power Automate DesktopUiPathPlaywrightPuppeteerPythonNode.jsRobot FrameworkOCRAI/LLMMaken8nAPIExcelCSVPDFemailportalsERPCRMPower BI
SmartCodeIT RPA Layer
ExcelemailPDFpanellegacybotOCRAIlogsalertdashboardAPITechnology
We select technology based on the process, systems, and risk
We do not impose a single tool. We first analyze the process, environment, licenses, security, and maintenance, and only then choose the technology.
| Option | Best for | Complexity | Cost | Flexibility | When to choose |
|---|---|---|---|---|---|
| Power Automate Desktop | Microsoft/Windows processes | medium | medium | medium | when the company has a Microsoft environment |
| UiPath | larger RPA program | high | higher | high | when an RPA platform is needed |
| Playwright/Puppeteer | web panels | medium | medium | high | when we automate the browser |
| Python automation | files, date, ETL | medium | medium | high | when the process does not require UI |
| RPA + OCR | PDF documents and scans | high | higher | high | when data come from documents |
| RPA + AI | classification and summaries | high | higher | high | when AI supports the operator |
| API instead of RPA | stable systems | medium | medium | very high | when the API is available and complete |
| Custom application | strategic process | high | higher | highest | when RPA would only be a workaround |
Why SmartCodeIT
RPA implemented with control, not as fragile clicking
We design bots with logs, validation, and monitoring, so the company knows what the bot did and where a reaction is needed.
- we analyze APIs before RPA
- we document the steps
- we add validation
- we log the runs
- we design alerts
- we plan maintenance
Process
The bot has a specific scenario.
Validation
Data are checked before action.
Logs
Each run has a history.
Exceptions
Errors are passed to a human.
Maintenance
UI changes require control.
Development
The process can be expanded in stages.
Related paths
What is usually connected with this service?
FAQ
Frequently asked questions
What is RPA?
RPA and work bots, or Robotic Process Automation, is the automation of repetitive activities performed in applications, panels, files, and systems. An RPA bot can click, enter data, download files, complete forms, and move information between systems according to defined rules.
When does RPA make sense?
RPA makes sense when the process is repetitive, rule-based, well documented, has known input data, and the system does not have a convenient API or full integration would be too expensive at the start.
When is API integration better than RPA?
If the system has a good API, the process is to be scaled, and greater stability is required, an API integration will often be better than a bot clicking through the interface.
Is RPA artificial intelligence?
No. Classic RPA works according to rules and performs predefined steps. AI can support RPA, for example in e-mail classification, document reading, summaries, or exception analysis.
Can an RPA bot work autonomously?
Yes, a bot can work autonomously according to a schedule or task queue, but then logs, alerts, monitoring, retry, limited permissions, and an exception-handling procedure are particularly important.
What is the difference between an attended and unattended bot?
An attended bot is started by an employee and supports them in their work. An unattended bot works autonomously, for example on a schedule, on a worker machine or server, and records logs and execution status.
How much does an RPA bot cost?
An RPA consultation starts at $155 net. A process audit for RPA from $501 net. An RPA Bot Start from $1,818 net. An RPA Bot Business from $3,400 net. An RPA Bot with OCR from $4,454 net, and RPA + AI from $5,244 net.
How long does RPA implementation take?
A simple bot can be built in 1–3 weeks. A more complex process with several systems, OCR, AI, logs, and exception handling may require 4–10 weeks or more.
Does RPA require maintenance?
Yes. RPA requires maintenance because changes in the system interface, file format, login method, or process rules may require bot updates.
Can a bot work on an employee’s private account?
Technically this is sometimes possible, but in production it is better to use a separate technical account with minimal permissions, logs, and clear accountability.
Can RPA handle invoices and documents?
Yes. RPA can be combined with OCR and AI to capture data from invoices, PDFs, scans, or e-mails and then enter them into a system or pass them for human verification.
Can you start with one small bot?
Yes. In most cases, we recommend starting with one pilot process that is repeatable, measurable, and has limited risk. Only later is it worth expanding the RPA program.
Will RPA replace employees?
RPA is best treated as a tool to relieve the team from repetitive tasks. The goal is to reduce manual work, errors, and monotony, not to automatically replace human decisions.
What should be prepared before a quote?
It is best to prepare a process description, a list of systems, sample files, screenshots, input data, record volume, process frequency, exceptions, manual processing time, and information on whether the system has an API.
Can SmartCodeIT maintain the bot after go-live?
Yes. RPA support is possible and may include monitoring, log analysis, fixes after interface changes, minor modifications, a monthly report, and recommendations for further development.
Contact
Describe the process you currently perform manually.
Based on a few sentences, we will assess whether the best solution will be an RPA bot, API integration, no-code automation, OCR, AI, or a dedicated application.
kontakt@smartcodeit.pl · 882 121 238 · Gliwice / online
RPA supports repetitive work but does not replace responsibility for the process, monitoring, or post-go-live maintenance. Bots require exception handling, log reviews, secure permissions, and updates when source systems change.
Contact
Describe the process you want to improve.
A few concrete sentences are enough for us to suggest an audit, automation, an AI agent, a web application or a systems integration.
A reply with a recommended next stepThe option to begin with an audit or a focused MVPA solution designed for security and maintainability
Prefer a structured form? Book a free consultationkontakt@smartcodeit.pl882 121 238ul. Częstochowska 12/2, Gliwice