Gartner research has highlighted that by 2025, 50% of enterprises will have devised artificial intelligence (AI) orchestration platforms to operationalize AI, up from fewer than 10% in 2020. As per IDC, AI related spending will reach $342B in 2021 and accelerate in 2022 to break the $500 billion mark by 2024.
Unattended bots, wherein end-to-end process can be automated, and attended bots, wherein entire end-to-end processes cannot be automated, specifically due to presence of unstructured data within the process flow, can be deployed with help of centralized orchestration console and monitoring system, to partially automate transactions and park them in designated queues for subsequent manual processing.
Both attended and unattended bots may get thwarted during runtime, due to sudden appearance of new steps or inputs that were not encountered earlier in the design stage. The root causes of such exceptions may not be easily available, unless either human coders perform code review or perform exception handling around the unknown steps that has caused the failure.
Typical challenges that intensify failure modes leading to loss of bot productivity
To fix this, we leveraged web-services with load balancing features coupled with auto-sensing mechanism and prescriptive algorithms to produce a scalable orchestration platform for guided deployment of pre-determined number of bots as a scheduled task. The task can be scheduled to execute both attended and unattended bots.
Functional flow diagram showing AI–OCR bot execution in sync with Master Orchestrator Console & Dashboard
The orchestration platform takes in account the priority of individual bots, with an overall objective of optimizing the cost of operations, reducing cycle time, improving productivity while monitoring real-time exceptions and reporting them, thereby maintaining high standards of accuracy and compliance for in scope process automations.
Key design principles to deliver experience with sustainable business impact
Experience Led Design
A predictable & scalable orchestration cum monitoring engine
Wipro's agile solution addresses challenges that impact customers by providing a predictable scalable orchestration cum monitoring engine with real time metric updates and supports bot runners with a 360 degree view of the automated process, while optimizing productivity and minimizing delays due to exceptions.
Functional flow diagram showing bot processing within healthcare claims ecosystems, by navigating through applications
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About the Authors
Suprateem Moitra - Associate Vice President - Quality, Wipro
Suprateem has more than 18 years’ experience improving process delivery through Robotic Process Automation, Process Orchestration, Workflow Optimization, and Intelligent Automation for Healthcare, Banking, and Insurance domains.
Suprateem is an Automation Leader for Healthcare vertical and holds dual Lean Six Sigma Black Belt certification. He has a Masters in Management from the Indian Institute of Foreign Trade (IIFT) New Delhi and a Bachelors in Engineering from the Indian Institute of Technology Kharagpur.
Prasun Bhattacharyya – Automation Team Lead, Wipro
Prasun has more than 2 years’ experience improving process delivery through Process Orchestration, Workflow Optimization with Intelligent Automation for Healthcare.
Prasun is a seasoned python coder, and has published python libraries in Pypi.org.