AI Espouse RPA to Headway the New Era of Work

by Adilin Beatrice
September 24, 2020

In the dawning technology decade, government agencies are rapidly adopting new innovative measures. Automation and Artificial Intelligence (AI) pave the way to high productivity and decision-making.

“Quality” work is the primary focus of government agencies. To this end, robotic process automation and similar technologies are used to reduce errors, improve compliance, and eliminate repetitive administrative tasks.

Robot Process Automation (RPA) is a technology application that partially or fully automates manual, rule-based, and repetitive human activities. But RPA is missing a part as it can only make simple decisions that allow agencies to eliminate low value, mundane, and transactional work. The use of RPA could be multiplied by adding AI to the equation. AI increases RPA and speeds it up to do multiple tasks. It is very helpful in analyzing large amounts of data and making decisions.

The merging of RPA and AI has led to more real and tangible results that could be applied to digital solutions for civilians and defense agencies. Both technologies cannot do the same job on their own.

According to the RPA Program Playbook published by the Federal RPA Community of Practice, the current RPA program system reduces employee workload by up to five hours. The RPA capabilities are massively transforming government operations through software bots to automate large-volume, repeatable tasks in legacy processes and applications.

The playbook further shows that RPA is capable of cutting the time worked per employee by 20 hours, which will ultimately result in government agencies gaining $ 3 billion net capacity.

Provision of RPA in government agencies

Key functional areas in government, including finance, procurement, IT, human resources, security, and mission assurance, automate tasks with the help of RPA. Data entry, data reconciliation, spreadsheets, system integration, automated data reporting, analytics, customer contact and communication are some of the features of RPA.

For example, the Food and Drug Administration’s Center for Drug Evaluation and Research reported that it had seven RPA projects under development. One of them automates forms for taking medication and frees up the pharmaceutical and medical staff for the agency’s core scientific task in 2019. That same year, the Defense Logistics Agency hired unsupervised bots to work full-time. With the introduction of 82 RPA bots, the department saved more than 200,000 man hours.

When RPA is used effectively by government agencies in automation, machine learning (ML) and intelligent automation are just a few steps away. RPA defines the building blocks for AI in terms of IT infrastructure and standardization according to the playbook notice.

Accelerating AI and ML in RPA for financial management

The use of artificial intelligence (AI) and machine learning (ML) enriches the already existing functions of RPA. It can be used extensively in financial management to identify areas such as transaction matching, fraud prevention, and anomaly detection.

Large financial agencies generally fluctuate to process and match hundreds of thousands of their daily transactions. Many of the processes require heavy manual labor and take hours. However, RPA can automatically access data from various financial management systems. In the case of unmatched transactions, however, it does not go far enough if the data tolerance exceeds the matching data and documents. By adding AI and ML to the process, it speeds up the matching financial transactions or identifies fraud through handling and related actions.

Machine learning trains models to quickly examine the correlation between historical and current transactions. The deferral helps minimize errors by identifying potential matches or irregular behavior based on the transaction.

People should prepare to accept AI innovations in human society. The misconception that AI is conquering the world through its functions must be buried for a better future. AI technologies are not designed to kill human labor and drive us into unemployment. AI shifts and minimizes working hours to harness human potential for something more important and meaningful. The AI’s mission is to get a coordinated work off the ground.

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June 30, 2021