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Assumptions businesses should stop making while implementing RPA

by Athena Team on January 25, 2019 under RPA

Many companies in finance, insurance, banking, and healthcare industries are opening their doors to Robotic Process Automation. Their key drivers could be more than just ROI. The expectations could be on Cost Reduction, Talent Focus, Quality Assurance, Scalability, Speed, and Customer Satisfaction.

To achieve RPA success and reach business goals companies should avoid the below assumptions. This helps in reaping RPA’s potential benefits.

1. Every business process can be automated

RPA comes along with advantages like productivity, accuracy and cost savings only when a valid process is automated. It is important to understand that automation of well-defined logic based and low-level cognitive tasks yields accurate results. Analyze every activity involved in the process to check the worthiness of RPA implementation for the particular process.

2. IT is enough to make a decision

Organizations must take care of change management while implementing RPA. Relevant stakeholders should be involved in decision making other than just IT team. , Implementing RPA involves new purchases and the bot’s needs to be retrained based on process modification or change. Hence it’s better to involve relevant teams like HR and operations team along with IT in decision making to avoid rework.

3. Automating multiple processes at a time is an advantage

This no-code technology has to be deployed with much integration. Hence, there is a probability of greater complexity in implementing multiple processes at a time. As the bots are easy to be retrained, organizations must prioritize processes for automation and implement it one after the other to leverage RPA.

4. No post-implementation management required

We are living in a world where technological advancements take place every moment. This changes business environment very often, and it’s important for organizations to acknowledge the change to progress towards growth. Hence it’s necessary to work on the modifications to improve existing bots, in line with industry needs and technology changes.

5. Process complexity doesn’t matter

Several factors must be considered before deciding to automate any process. They include the definition of the process, the volume of data associated with the process, diversity and cognitive level of the tasks. All these factors combined indicate the process complexity. Well-defined, low cognitive-level and repetitive tasks are most suitable for RPA implementation with fewer complexities.

6. Full process automation save costs

A process contains multiple subprocesses with different levels of complexities. It is not obvious that automating the entire process would save costs. Though the majority of the process can be automated, there may come a case when the implementation costs for the remaining process might be much more. This may decrease ROI. Automating only the required tasks optimizes process efficiency

This game-changing technology helps in building efficient organizations only when it’s done right. Decision makers should prioritize on what part of the process should be automated at the right time. Through services like RPA consultation, Automation Lifecycle Management, and Hosted Automation Athena help organizations to increase ROI and achieve various benefits in terms of costs, efficiency, quality, and productivity. For more details please contact us .

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