5 Key Considerations When Choosing RPA Software – Robotic Process Automation

5 Key Considerations When Choosing RPA Software – Robotic Process Automation

Robotic Process Automation (RPA) has become essential for companies aiming to embrace efficiency and the future of work practices, moving away from business models reliant on scaling through human resource hires. RPA software enables programmers and business users to create process automations that replicate the steps performed by an employee on a computer. This automation yields significant savings, promoting an approach where employees focus on qualitative execution rather than being accountable for the quantity of work completed.

When utilizing RPA software, one can leverage platforms that simplify automation workflow creation. Many tools in the market adhere to the concept of low-code, reducing barriers to creating and customizing automated actions in comparison to traditional, more complex, and specialized programming.

This software offers a technological ecosystem within an enterprise platform, spanning various scenarios of automated processes. As a result of its success, multiple software solutions have emerged with different orientations. Nevertheless, the choice of software is pivotal in ensuring the success of enterprise automation initiatives. In numerous cases, opting for a cheaper solution might result in hidden costs. The price of licenses can pose a hurdle to technology adoption, potentially hindering the scalability of automation programs

Hence, drawing from its experience, Engibots has compiled five fundamental points that we believe are essential in selecting RPA software suited to the business landscape:

Development Time and Robustness

RPA software essentially acts as an accelerator for collaborative automations. The speed of process reproduction, testing, stabilization, and deployment must be evaluated. Low-code platforms typically prove faster than those utilizing traditional programming languages. The underappreciated aspect of where automation files are stored and shared also plays a role in effective team collaboration.

Support Resources

The presence of academies, certifications, forums, communities, and free versions reduces entry barriers, enabling more market experts with verified knowledge to support automation initiatives. Software with robust support programs and ongoing evolution signifies the strength of solutions and can sway the platform choice.

Adaptability to Changes

Moreover, during production, how is the resilience of robots and processes ensured? Does the software already incorporate resilience mechanisms and best practice frameworks? RPAs are software agents interacting with third-party platforms and processes in constant flux. Thus, well-constructed robots are essential to minimize maintenance actions.

Governance and Monitoring

Governance and monitoring are critical for the ongoing success of RPA automations. The chosen software should offer robust governance to control the lifecycle of automations. This encompasses defining permissions, tracking changes in automation flows, and ensuring compliance with regulations. Effective RPA software should also provide advanced real-time monitoring, enabling managers to track automation performance and take swift corrective actions.

Licensing and Scalability

When selecting RPA software, it’s crucial to consider the licensing model and scalability. Some platforms charge based on active robots or running automations. Understanding associated costs and appropriately scaling for future company needs is vital. Additionally, evaluate the software’s capability to handle increased automations and more complex workflows. The chosen platform should grow with the organization without compromising efficiency or significantly increasing costs.

Despite these five vectors, each company possesses a unique ecosystem and distinct strategic strengths. The selection of software and the creation of automation programs must be tailored to specific needs. As a partner, Engibots can assist in making strategic, well-informed decisions regarding software, ensuring the effectiveness and promised outcomes of automation and RPA.