Does Robotic Process Automation (RPA) Fit into Your Processes?

Robotic Process Automation (RPA) has become a common approach for automating repetitive, rule-based tasks across financial services. From data entry to reconciliation, RPA can help teams reduce manual effort and improve efficiency.

What Do RPA Solutions Miss?

A Contact Center survey has shown that the cost of navigating within and between applications was approximately GBP 4.3 billion per year in the UK alone. Interestingly, that number is higher than the previous year despite the availability of RPA solutions.

RPA remains a powerful tool, but the end-user desktop is evolving into something more complex. As desktop automation removes the tedium, what remains are processes and process fragments that are complex, high-value, and exploratory in nature. These are scenarios where humans are often the only viable tool, or where the process requires one person to interact with another to ensure decisions and transactions are correct.

How to Enhance RPA with a Desktop Integration Platform?

The solution is to blend RPA with desktop integration. You can automate repetitive and predictable tasks by using a bot, while the inter-application user journey can be optimized using a desktop integration platform.

This image shows a typical desktop environment:

Multiple applications (in-house and pre-packaged) fighting for screen real estate while managing entirely separate data stacks. Sure, a large organization could try and do back-end integration to synchronize data, but what impact would that have on the front end? Until now, organizations either built new monolithic front-end apps or looked the other way and ignored the user’s frustrations.

This screenshot shows the same process – but this time with real-time sharing of the data context between applications:

Change the selected client, contact, address, stock, product, etc. in one application, then all the others will be updated immediately. Applications are revealed at just the right point in the process and may reside behind a tab when not needed. Critically, these are the original applications and the user can move within or across them without restrictions as they explore the data sources and attempt to resolve the task at hand. In addition, you can save/share and restore the entire frame that hosts these applications (called a Workspace). The end-user can also reconfigure it if they want to add/remove applications.

End-User Benefits of Using a Desktop Integration Platform

Desktop integration platforms are therefore a bit like an RPA platform in the sense that they simplify and optimize the user flow. The difference is that they can orchestrate the entire user experience and bi-directionally synchronize data between applications. Better still, it doesn’t do it through a fragile UI coordinate or tag approach – but instead uses a fully-fledged message bus to ensure that the integration is always loosely coupled and robust. Moreover, a desktop integration platform will orchestrate the window/application navigation, manage notifications, provide universal search mechanisms and also monitor user behavior.

If you are unfamiliar with desktop integration platforms, learn more about io.Connect.

Where RPA Fits in Modern Financial Workflows

RPA still plays an important role, but it is no longer the center of the automation strategy.

Today, firms are moving toward a more layered approach:

• RPA handles repetitive, rule-based tasks
• Interoperability connects applications and enables workflows across systems
• AI introduces decision support and dynamic interactions
• Users remain in control, guiding and validating outcomes

Instead of automating isolated steps, this approach focuses on orchestrating the entire workflow. Applications share context in real time, actions can be triggered across systems without brittle scripts, and AI can surface insights or initiate next steps without disrupting the user experience.

In this model, RPA becomes one component of a broader platform — not the solution on its own. The result is a more resilient, adaptable environment where workflows can evolve without constant rework.