Role Of AI In Business Process Management

Artificial Intelligence

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10 Jan 2022
5 Min read

Role Of AI In Business Process Management

Have you ever thought about what it takes to be a great businessperson? Only businesses that are flexible enough to accept new technology and efficient enough to maximize their benefits can succeed in today’s world.

Business process management (BPM) is a systematic approach to assisting firms in developing an effective and efficient workflow. It enables you to quickly adjust to and resist the ever-changing business environment in a planned manner. From new hiring to process automation and customer service, Business process management supports the administration of several organizational activities.

With artificial intelligence and machine learning leading the corporate technology bandwagon, digital transformation is firmly integrated into company processes. Making AI a component of BPM is gaining traction due to the numerous benefits it provides. Creating a dynamic technology environment assists organizations in automating their complicated procedures.

Here are some of the ways AI assists in administering corporate processes.

Automating Redundant Tasks:

One of the most prominent AI applications is the automation of repetitive chores. RPA, also known as robotic process automation, is a software that uses machine learning and artificial intelligence to automate many duplicate activities that would otherwise require a dedicated human team.

Predictive Modelling:

The human eye is unable to discern patterns that AI can perceive. AI’s one distinguishing feature is learning, observing, and evaluating data sets gathered from multiple sources. These details are used by businesses to select their course of action. For example, data patterns can be analyzed for any fraudulent activity involving online transactions, or prospects can be segmented based on their purchasing habits for marketing purposes.

Cost-Effective:

Business process management installation is a lengthy process that involves both monetary and time commitments. RPA, on the other hand, is both cost-effective and resource-efficient. As a result, employing RPA approaches, BPM concepts can be implemented on a budget.

Enhancing The Customer Experience:

Previously, the cost was the key motivator for AI adoption in BPM, but now the focus has switched to improving the customer experience. AI-based BPM assists in gaining reliable insights into client behavior and predicting future consumption trends based on these inputs. Chatbots and other related tactics are the most prominent example of AI-backed customer service. It enhances the customer experience and contributes to creating a transparent communication platform.

Capabilities For Making Decisions:

With the evolution of artificial intelligence and machine learning, advanced machine learning algorithms such as decision trees and neural networks have been established. These algorithms assist managers and business owners in resolving issues that arise while describing properties for specific datasets to obtain the desired results. Managers can also use AI-based decision-theoretic models to help them make decisions in a business process. These models, for example, can assist in determining whether a consumer requires a product recommendation or a follow-up call.

How AI Assists Businesses In Covid-19?

Business process management and artificial intelligence (AI) have a strong synergy, which has become more evident as organizations struggle to deal with the Covid-19 coronavirus pandemic. Organizations have had to adjust rapidly and automate low-hanging fruit manual activities that were not previously considered a significant business priority.

The facilities crew at insurance business Generali, for example, was charged with scanning paper documents in the office during the early weeks of the first UK lockdown. A managed scanning service now handles the task of document scanning. The volume of manual or inefficient procedures necessary to create machine-readable data is reduced due to an automation effort.

Conclusion

AI is no longer an intimidating or difficult-to-adopt technology. Businesses are using AI-enabled Business process management solutions to help them overcome performance barriers and improve efficiency and quality. Small and large companies gradually realize the value of AI-enabled BPM software in streamlining their business processes. With time, artificial intelligence and machine learning for business process automation is expected to become more widely adopted and accessible to all enterprises.

To know more about business process management for your business, contact the ONPASSIVE team.

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