What is a consequence of improper 'Change Control' in bot management?

Improper 'Change Control' in bot management can lead to significant disruptions in ongoing business processes. Change control is a critical aspect of maintaining the stability and reliability of RPA bots, as it ensures that any modifications to the bots are systematically evaluated, authorized, and documented. When change control practices are not properly followed, unapproved or poorly implemented changes can result in bot failures, errors, or unexpected behavior, which can directly impact the efficiency and effectiveness of business processes that rely on automation. This can cause delays, errors in data processing, or even a complete halt in operations, leading to broader implications for the organization, such as increased costs and decreased productivity.

In contrast, the other options imply positive outcomes that are not aligned with the consequences of improper change control. Improvement in bot performance, enhanced user experience, and reduction in operational costs may be goals associated with well-managed change control, but they are not typical results of poor change management practices. Instead, they are more likely the outcomes of effective control and review processes before implementing changes to the bots.