Problem Statement

Poor Visibility of operational bot failures leading to frequent temporary downtime in data aggregation and disruption in downstream automation workflows.

Context

• During my time at HighRadius, I was leading the data aggregation vertical of the deductions cloud product. Learn more about High Radius deductions cloud
• RPA bots are deployed to execute web data aggregation and index the backup documents to be eventually linked with the deductions originating from the ERP.
• Web based data aggregation contributed to around more than 45% of the total IP
• Among the web based bots, the d

Challenge

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1. Surge in client support tickets: An increasing trend of support tickets were raised due to temporary breakdown of the bot.
2. Slow Turnaround Time: Complex debugging and long deployment cycles delay updates and reduce the responsiveness of the RPA solution.
3. Dependency on Skilled Developers: The code-driven framework requires skilled developers with an awareness of fixing issues fast.
4. High Risk of Errors and Downtime: Manual code changes, if not thoroughly reviewed or tested due to backlog overload, increase the risk of introducing bugs, which can lead to downtime, data inaccuracies, and operational disruptions.

These challenges pointed to a long-term scaling issue, with an increasing number of bots to be added and maintained with a growing demand for engineering resources

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Target Stakeholders

Business Requirement

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