Discover how DHL Group increased connectivity across the enterprise and automated multiple processes end-to-end
Automation has evolved from simple task execution to AI-powered technologies capable of independent decision-making. Bots governed by rule-based workflows are being replaced by a technology that can analyze and learn from data to work as a human would. This new era of automation, known as agentic automation, is set to enhance productivity and innovation by enabling AI-powered systems to think, learn, and make decisions just like human workers.
Agentic automation uses AI-powered agents that can work autonomously to perform tasks as a human would. Unlike traditional automation, which relies on predefined rules and workflows, agentic automation can:
Agentic automation uses AI-powered agents that can think, learn, and make decisions independently. These agents gather information from their environment, past experiences, and real-time data, allowing them to continuously improve over time. Unlike traditional automation that follows fixed, pre-programmed rules, agentic automation enables these agents to analyze situations and determine the best course of action on their own. When circumstances change, these agents can adapt their strategies accordingly, ensuring effectiveness without the need for constant reprogramming.
Real-time adaptability
Agentic automation can adapt to change as it happens without manual updates by human workers. The technology continuously analyzes data to look for changes in market trends, customer behaviour or business operations. If it spots something new, it autonomously adjusts its strategies, workflows or decision-making processes to achieve the best outcome. This helps businesses respond proactively to internal and external change and maintain agility and a competitive edge in dynamic environments.
Smarter decision-making
Agentic automation can process large amounts of data and generate actionable insights on that data far quicker than a human. But speed isn’t the only plus point, traditional decision-making that relies on human intuition often leads to biases whereas AI-powered automation systems recommend the best course of action based on a thorough analysis of the data and identification of trends indicative of future scenarios. This data-driven approach ensures more objective decision-making.
Scalability
As businesses grow, managing increased workloads and customer interactions can become challenging. Agentic automation can handle increasing volumes of tasks, transactions, and customer interactions effortlessly without additional human resources. Unlike traditional systems that require costly infrastructure upgrades or a hiring spree, agentic automation scales with ease by optimizing processes and distributing workloads intelligently. This drives long-term growth and competitiveness by ensuring that businesses can expand effectively without a proportional increase in costs.
Customer service
Analyze previous customer interactions and choose the best course of action based on perceived needs.
Investment management
Analyze market trends, assess investment opportunities and create personalized financial plans for clients.
Compliance
Automatically track changes to policies and regulations and perform the necessary updates without manual intervention. This minimizes the risk of legal penalties.
Fraud detection
Identify new types of fraud by analyzing real-time data to identify new tactics and adjust fraud detection rules accordingly.
Order management
Monitor inventory levels and in the case of a shortage instantly reroute orders to an alternative supplier, minimizing disruptions.
As AI capabilities continue to evolve, agentic automation will become more autonomous, executing even more complex tasks and solving problems that previously needed some human supervision. However, the human worker still has a place, they will collaborate with agentic automation technology to create informed strategies that drive growth.
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