In the previous post, we briefly discussed the advantages of agentic automation.
The biggest benefit, as mentioned, is the ability to

convert unstructured processes into structured automation processes

this opens up new possibilities for solving complex and detailed tasks that have long been difficult to automate.

Secondly, we emphasized that agentic automation

can increase "efficiency."

Tasks that previously required human involvement, which were often slow and required many personnel, leading to high costs, can now be solved with automation.

As discussed in the first post, agentic automation plays a crucial role in automating areas that were previously difficult to handle with traditional robotic process automation (RPA).

In this post and the next, we will explore how automation can be applied to long-standing challenges within different departments and industries across organizations, specifically focusing on how automation can address areas that were difficult to resolve.

1.  Automating Complex Business Processes

Traditional automation is suitable for repetitive tasks with clear rules, but it has limitations when applied to unpredictable or rule-defying tasks. For example, when operating an online store, customer service is handled through various channels such as phone calls, emails, and chats. Businesses put in their best efforts to reduce customer churn. However, understanding each customer’s situation and emotions accurately and providing tailored responses was difficult to automate.
For instance, when a particular customer raises a complaint, identifying the core of the issue and providing an appropriate solution was beyond the capabilities of traditional automation systems.

However, agentic automation has the ability to handle such uncertain tasks.
For example, by analyzing real-time customer order history, reviews, and feedback, agentic automation can identify customer preferences and provide tailored solutions for each customer. Additionally, it can automatically recommend and provide appropriate benefits or services based on the customer's situation, contributing to increased customer satisfaction. In this way, we can expect a shift toward

more detailed and personalized automation of customer service tasks.

2.  Real-Time Data Analysis and Decision Support

AI agents can process large amounts of data in real time and make accurate decisions based on this information.
For example, agentic automation can resolve challenges related to real-time inventory tracking or process optimization in manufacturing. This can help prevent production stoppages and make it possible to monitor inventory in real time and automatically reorder stock when necessary. A good example of this is when an automotive manufacturer uses agentic automation to analyze the supply of specific parts in real time and place orders for missing parts in advance.

An online store operator can also increase sales by analyzing customer buying patterns through real-time data analysis and automatically running promotions for underperforming products or recommending products to customers who are likely to make a purchase.
What is critical in this process is

fast and accurate decision-making.

For instance, if a customer adds an item to their cart but delays payment, the AI agent can analyze the customer’s data and immediately offer personalized incentives to prevent cart abandonment, increasing the conversion rate. Additionally, based on real-time data regarding the customer's preferred products, AI agents can strategically adjust the offered benefits and actively recommend the necessary products.

Moreover, if an inventory shortage is predicted, the AI agent can check inventory data in real time and automatically generate additional orders to prevent sales losses due to stockouts. This allows businesses to establish a smooth flow of operations that extends from inventory management to increased revenue, all driven by fast and accurate decisions.
Additionally, AI agents continuously learn and analyze customer preferences, allowing them to

adjust strategies and provide the best possible solutions based on the most current information.

In the next post, we will explain more about the changes that agentic automation will bring to businesses.

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