5 Top Automation Use Cases AI Handles Better than Humans

The idea of automation is nothing new and has been around for centuries. The introduction of Artificial Intelligence (AI) has given automation the necessary boost and is now undergoing a significant transformation. AI has fundamentally changed the way we handle automation by bringing adaptability and intelligence into the process. This integration of AI has paved the way for a new era of intelligent automation solutions for enterprises, boosting productivity, improving efficiency, and streamlining processes. In this post let’s discuss some of the top automation use cases that AI handles better than humans:

Intelligent Automation Tasks Assisted by AI

1. Data processing and analysis

AI has the capability to process large data sets. The Natural Language Processing (NLP) feature of AI can easily extract information from different documents with accuracy. It can even analyze unstructured data sources and pull out relevant information with precision. This saves businesses a lot of man hours being wasted on tedious and error-prone manual data entry.

Filling out forms for different purposes is yet another time-consuming and mundane process where AI can be employed. AI-powered form automation can intelligently capture, validate and populate data in real time, thereby preventing errors along with saving you valuable time.

AI can be leveraged by organizations to automate repetitive processes like invoice processing, maintaining attendance log, payroll management, inventory management etc.

2. Predictive analysis

AI algorithms can analyze large data sets to detect patterns and track trends and even forecast weather changes to predict what comes next, to a great extent. This capability of AI in logistics can be used by companies and warehouses to manage inventory, and chart optimal route maps for moving goods. It also enables businesses to make more informed decisions about market trends and detect risks like overstocking or understocking.

This helps in continuous operations by streamlining processes, improving response time in case of emergencies and maintaining consistency without human intervention.

3. Customer care

Customer care is an integral part of any organization across industries, and we have all borne the brunt of unending call waiting and sometimes language barrier while trying to get things sorted with customer care agents.

Well, those times are over. AI chatbots for customer service can handle large volumes of inquiries in real time, and without the limitations as mentioned before. It can provide instant support for common queries, track orders, and even perform basic troubleshooting, thereby freeing up human agents to focus on more critical and complex issues. This leads to better response time and improved overall customer satisfaction.

4. Talent screening and employee onboarding

HR professionals spend a lot of time screening resumes, talking to potential candidates, scheduling interviews and onboarding new employees. The average time required for recruitment is estimated to be around 44 days.

Using AI for talent screening and onboarding can significantly reduce this time as it can streamline this process by vetting resumes, highlighting promising candidates and scheduling interviews. The AI system can also provide relevant materials to the candidate once the job is accepted. Also, AI can help with the onboarding process by providing relevant training materials, answering queries about company policies and benefits, and helping with provisioning software and other materials like ID cards, access cards etc.

5. 24X7 threat detection

According to a media report, Amazon faces about 750 million cyber threats each day. It is humanly impossible to manually monitor and prevent all these.

AI-enabled 24×7 cybersecurity threat detection can monitor your network, and spot suspicious activities in real time like unauthorized log-in attempts, or data transfer, and respond to them immediately. This makes life easier for cybersecurity professionals and helps them concentrate on their bigger security strategies.

How DeepKnit AI Can Help You Streamline Process Automation

To get optimum results, you need to combine any kind of automation tool with intelligent automation. By leveraging AI’s capability to process large datasets, do rule-based repetitive tasks with precision, adapt, and scale, businesses can enhance their automated processes by making them smarter and more efficient. Organizations can integrate AI into their legacy processes to make them streamlined, reduce costs, and improve decision-making.

AI is here to stay and will keep evolving, and the scope for automation will keep expanding. Businesses that adopt this combination earlier will have an advantage and be well-positioned to thrive in an increasingly competitive landscape.