What does 'failover' mean in automation scenarios?

In automation scenarios, 'failover' refers to the process of redirecting tasks to an alternate bot or system if the primary fails. This is crucial in maintaining operational continuity and minimizing downtime. When a primary automation bot encounters issues such as system errors, unresponsive actions, or unforeseen interruptions, the failover mechanism ensures that another designated bot or system takes over the workload seamlessly.

This approach not only enhances reliability but also enables organizations to sustain productivity levels, thus allowing business processes to run smoothly without significant disruptions. It’s a vital aspect of automated workflows, especially in environments where high availability and resilience are essential.

The other options, while related to redundancy and productivity, focus on different aspects. Establishing a backup bot primarily describes preparation rather than the actual failover process. Running multiple bots simultaneously emphasizes efficiency rather than resilience in the face of failure. Creating clones of bots suggests redundancy but does not directly address the mechanism of switching tasks during a failure event.