Establishing an Effective RPA Bot Governance Model
Reduce operation efforts in RPA governance by 30% and time for detecting production outages by 87%
The telecom industry, today, is riding the automation wave. Painful manual tasks, which burdened staff for ages, can now be easily handled by the software bots. However, in the process of onboarding the digital workforce, most DSPs have missed to establish strong unified governance. In a survey done by Forrester Consulting 69% of the respondents said they face difficulty in managing rules that guide bot behavior and 61% responded that control & operations of RPA bots are immature.
“Governance of digital workforce is becoming a consistent challenge in the course of adopting robotics and cognitive automation”
Lack of unified governance of digital workforce significantly impacts different users such as RPA Center of Excellence (COE), Business Unit Owners, Production Support Team and the Operations Team. These users face challenges in areas such as managing bot license and application credentials, orchestrating bots across platforms and analyzing real-time bot performance and its utilization. They also lack in real-time alerts on process failures & forecast, that often lead to missing the SLA for critical deliveries.
This insight focuses on major areas to be considered for establishing an effective RPA bot governance model. Implementing such comprehensive bot governance model can reduce 30% of DSP’s operations efforts in RPA bot governance by effectively managing the bots across processes and platforms.
- Sumit Thakur
- Vijaykumar M R
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