RPA for SMEs — Choosing, Testing and Maintaining a Useful Automation

Robotic Process Automation, or RPA, uses software to carry out repeatable actions in other applications. It often interacts with screens in a similar way to a person: opening a record, entering information, checking a condition and moving to the next step. An RPA workflow can also use APIs alongside interface actions.

It can help with repetitive work, particularly where a suitable integration interface is unavailable. The decision should follow an assessment of the process and its maintenance needs, rather than a market-wide success or failure percentage.

What a bot can do

A rule-based bot follows specified conditions and actions. For example, it can copy information between approved systems, prepare a report or route an exception to a person.

RPA can be combined with OCR or AI components, but those components introduce their own error modes. Extracted information may need validation, and a model’s interpretation should not be treated as a deterministic rule.

Attended, unattended and combined operation

Attended automation works alongside a user. The person starts or supervises an action and remains part of the workflow.

Unattended automation runs without a person interacting with each execution. It still needs monitoring, access management, failure handling and operational ownership.

Combined workflows automate defined steps and route decisions or exceptions to people. The handover must be explicit so that work does not disappear between the bot and the team.

Select a stable, well-understood process

Useful assessment questions include:

• Are the rules clear enough to describe and test?
• How often does the task occur, and what exceptions arise?
• Are the inputs digital and sufficiently consistent?
• How frequently do the application screens change?
• Is an API integration or a process change a better option?
• Who will maintain the automation and handle failures?

There is no universal document-volume threshold that makes RPA worthwhile. Measure the current work, including checks and corrections, then compare it with the proposed automated workflow.

An illustrative invoice workflow

Suppose staff copy approved invoice information from one system into another. A bot could perform the entry and flag missing fields. The design would still need to handle duplicate invoices, changed supplier details, application downtime and uncertain extraction results.

The example describes a possible workflow, not a measured client deployment. Time savings and error rates should be established through a pilot using representative cases.

Simplify before automating

Review whether every existing step is necessary. Automating redundant approvals or repeated data entry can make a poor process run faster without addressing why it exists.

Process mining can help where suitable event records are available. Interviews, observation and document review are other ways to understand the process. No single diagnostic technique is mandatory for every project.

Plan for change and failure

A bot can fail when a screen changes, a login expires or an expected field is missing. Record executions, define alerts and decide when an action should stop rather than retry.

Use appropriate credentials and permissions. Keep sensitive information out of unnecessary logs. Test recovery and prevent a repeated run from creating duplicate business actions.

Assign responsibility for monitoring, updates and user support. Maintenance is part of the operating model, not evidence that the initial automation was unsuccessful.

Assess the business case

Include development, licences where applicable, infrastructure, testing, monitoring and staff time. Separate released capacity from cash savings: time freed from copying information creates a financial benefit only if the organisation uses it productively or changes its costs.

Compare the pilot with the baseline and examine exceptions as well as average completion time. A credible decision can be to automate, redesign the process, use an API or leave the task unchanged.

Q-Dev and Q-Journey

A defined automation requirement can be scoped through Q-Dev. Process audits are part of Q-Journey; software developed after the audit belongs to its second stage, with or without AI.

Scope, price and schedule are agreed individually. Q-Dev includes the first six months of maintenance. Describe one process and the systems involved when you contact us.