Artificial intelligence is here to stay and will redefine the way we work. 2023 might be a watershed year for the adoption of AI. 

By implementing AI systems, companies can save money and improve productivity. Some experts believe that artificial intelligence will increase global GDP by $15.7 trillion by 2030. But only if AI is implemented, integrated, and monitored correctly. 

Let's look at some AI-enabled tools that can change the future of the workspace. 

Implementing Intelligent Process Automation (IPA) for business operations 

Intelligent Process Automation (IPA) technology uses artificial intelligence (AI) and machine learning (ML) to automate business processes. It focuses on improving the efficiency and effectiveness of business operations by automating repetitive tasks, analyzing data, and making data-driven decisions.

Using AI, IPA can perform several tasks, such as automatically reviewing and approving employee leave requests, responding to customer inquiries, or generating purchase orders based on inventory levels. Moreover, the system analyzes data and provides insights that can help improve business operations. For instance, by evaluating data on customer interactions, it can identify trends or patterns that can improve customer service. This is not mere repetitive automation. It's a system that evolves and learns over time, thereby improving service delivery each day.  

IPA can also be used by organizations to analyze employee behaviour in the same way retailers, and banks use AI to understand trends and patterns of shoppers, customers and members of the public. These tools provide basic activity logging with alerts or, in more advanced versions, can attempt to detect positive or negative actions through multivariable analysis. 

AI-enabled ERP for resource management 

An AI-enabled ERP (enterprise resource planning) system is a type of software that combines various tools and processes for managing a company's resources, including financials, supply chain, manufacturing, and human resources. Interactive chatbots, intelligent process automation, and AI-enhanced financial planning are all examples of AI tools utilized in ERP software. 

The AI element can be used to automate certain tasks, such as data entry and analysis, and to provide insights and recommendations to help improve business operations. These systems also help companies streamline operations and improve decision-making by providing real-time data and analytics. It increases productivity while improving human capabilities by streamlining routine processes, eliminating human error, and lowering operating costs. Using AI in ERP systems can benefit many business functions, including accounting, analytics, data mining, sales automation, and warehouse management. 

AI-enabled Digital Twin for the holistic wellness of a company 

A digital twin is a digital representation of a physical object or system that can be used for various purposes, including simulation, analysis, and control. Companies can improve their operational efficiency, optimize maintenance and repair processes, and reduce costs using a digital twin. Many industries, including manufacturing, transportation, and healthcare, can benefit from implementing this.  

Digital twin takes the concept of AI one step further by integrating both artificial intelligence and machine learning algorithms for data analysis from the physical object or system and makes predictions or recommendations based on that analysis. For example, an AI-enabled digital twin of a manufacturing plant could analyze data on equipment performance, and maintenance needs to predict when equipment is likely to fail and recommend maintenance or repair actions to prevent downtime. 

AI for human resource management 

The use of AI in HR worldwide has been increasing for the past few years. In 2023, organizations will be seen integrating AI into human resources processes to reduce time consumption and improve productivity. 

With AI-based HRM or Artificial Intelligence-based Human Resource Management, businesses can use artificial intelligence technologies in the management of human resources. This means integrating AI-powered tools to automate HR tasks, such as recruiting, performance evaluations, and employee onboarding. Moreover, it can also involve the use of AI to analyze data and make recommendations for HR-related decisions, such as identifying training needs or identifying candidates for promotion.  

AI-based HRM allows HR professionals to focus on more strategic and value-added tasks. 

Next-generation CRM for improved customer relations 

With next-generation AI-enabled customer relationship management (CRM) systems, businesses can manage and analyze customer interactions and data throughout the customer lifecycle, to improve customer relationships and drive business growth. It also helps in understanding customer behaviour and trends and taking data-driven decisions, all while tracking and managing the sales process from lead generation to deal closure. 

Next-generation CRM systems are often cloud-based and offer a wide range of customization options to meet the specific needs of different businesses. It can streamline processes and improve efficiency by integrating the CRM system with other systems, such as finance and HR software. The advantages of these systems are that they give access to real-time data, allow deep collaboration, and ultimately help businesses stay connected and responsive to customer needs. 

Bottom Line 

AI-powered tools are revolutionizing the workplace by integrating multiple work processes and applications, saving company time and resources while eliminating human error and making behind-the-scenes processes more seamless. This is just the beginning of a support automation movement. This year, with increased collaboration, intelligence-driven knowledge, and AI-powered assistance, employees will get more time to focus on the value-added work that inspires and motivates them and eventually boost growth in the company.