The following inflow alert status can be used. Inflow alerts to the production support help in quickly detecting the issue, thereby reducing any downtime impact. In the above sample image, bots can be switched from (B) Order Entry & Order Provisioning process to (A) Access Disconnects process, ensuring SLAs for both the processes are met for the day. This helps BU users to reallocate or scale-up bots for any specific processes which are lagging. These issues can be addressed using a bot delivery forecast and inflow alert mechanism.įig: Sample Image of Delivery Forecast & Inflow Alerts for Different Processesĭelivery forecast for a process can be calculated by capturing the Average Handling Time (AHT) for an order to be completed, the number of bots assigned, estimated inflow for the day, and number of orders completed. Such production outage issues easily take 20-30 mins even to be detected. Also, the production support team is often not aware of inflow in real-time and if the bot has stopped picking orders.
An integrated visual control room can bring higher levels of collaboration & transparency while managing bots across processes and platforms.įig: Integrated Visual Control Room displays Bots running across different processes Real-time Bot Delivery Forecast & Inflow Alert Mechanismīusiness Unit (BU) owners lack real-time visibility in the running processes. They need to manually login to each bot machine, analyze issues, and then take subsequent action. The production support team usually lacks an integrated view of all the bots deployed across different processes and platforms. Integrated Visual Control Room to Efficiently Manage Digital Workforce Focus Areas to Consider for Establishing a Unified Bot Governance Model They also lack real-time alerts on process failures and forecast, which often lead to missing SLA for critical deliveries. 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. Lack of unified governance of the digital workforce significantly impacts different users such as RPA Center of Excellence (CoE), business unit owners, production support team, and the operations team. In a survey done by Forrester Consulting, 61% responded that the control & operations of RPA bots are immature. However, in the process of onboarding the digital workforce, most DSPs have missed establishing strong unified governance.
GV LICENSE MANAGER HAS STOPPED WORKING MANUAL
Painful manual tasks, which burdened staffs for ages, can now be easily handled by the software bots.
The Digital Service Providers (DSPs) are riding an automation wave. Increase visual control and reduce OPEX by 30%