Agentic Process Automation – The Critical Success Factor in Dynamic Business Environments

Key takeaways from the blog

• Agentic Process Automation or Agentic AI makes autonomous decisions in target-oriented scenarios.
• It goes beyond simple automation to bring goal-driven autonomy into the purview of complex automation. 
• It institutionalizes high performance in the work culture as a critical success factor along a scalable framework. 

Dynamic environments pose quite an array of business challenges that either lead to decision paralysis at best or wrong actions at worst. The automation continuum does resolve challenges to a certain extent. However, much remains to be solved that gets left out of the scope of automation and is subject to in-depth human deliberation that requires time and effort. Agentic Process Automation addresses this lacuna in contemporary automation solutions. 

A typical business scenario that erodes business efficiency

A bank cashier has ordered cash for his home branch as the cash reserves have depleted. However, a corporate customer deposits huge cash that fulfills the requirement. The cash van is midway, and the cashier is busy counting cash and closing for the day. The cash in transit reaches the branch. The staff takes the delivery, counts the cash, and stashes it in the bank vaults. The next day, the entire surplus is routed back to the bank’s head office, a total loss of productive time. 

The same business scenario with Agentic Process Automation 

Let us view the same depleted cash scenario in the bank branch with Agentic Process Automation. The cashier has called for head office cash to replenish the branch reserve. However, a corporate customer has deposited a huge amount of cash, taking the reserve above the permissible cash limit. The very moment the cashier counts the cash, updates the system, and stacks it in the vault, the Agentic Process Automation framework sets a trigger to the head office that the cash is above the permissible limit. However, the cash van is already on the way. Agentic Process Automation takes autonomous decisions. Ideally, the cash van should reach the branch. However, the LLM that powers the automation has the contextual understanding to improve process efficiency. The GPS-tuned van entourage also understands that the cash requirement is cancelled. The automation framework, though, mandates to make a secure and successful journey. 

The underpinning Agentic Process Automation completes the cash van journey to avoid triggering unnecessary security concerns and reports to the branch manager. Incidentally, the cashier has erred on the human side and forgot to inform the head office about the increased cash limit. According to the protocol, the cash-in-transit van should offload the cash. However, in this scenario, the van in charge validates the “cash requirement cancelled” trigger message with the branch manager and cashier and makes a return journey, As-Is. The cash gets deposited back in the head office on the same day and is ready to replenish other branch requirements at an instant’s notice. The underpinning automation institutionalizes high performance in the work culture, a critical success factor in a dynamic business environment. 

What is Agentic Process Automation?

Agentic Process Automation or Agentic AI is an AI-driven technology along the automation continuum that dynamically takes autonomous decisions at each process node in complex process architectures, which were previously difficult to automate. Its smallest functional units are AI Agents, which are goal-driven and leverage different AI/ML models, LLMs, LAMs, and GenAI to complete tasks and fulfill goals in complex automation scenarios.

What is the significance of Agentic Process Automation?

AI Agents autonomously cognize their environment and take actions with a high degree of contextual awareness powered by different AI/ML models, LLMs, LAMs, and GenAI to achieve their specific goals. Agentic Process Automation augments leading technologies, such as GPS and missile technology, to bring forth mind-boggling possibilities. Developers and citizen developers now just specify the business goals in natural languages, such as English and Spanish, without getting into microscopic details and rules. The technologies that exist today in the automation continuum do fulfill business requirements. However, Agentic Process Automation goes beyond the scope of automation to bring goal-driven autonomy into the purview of complex automation architectures. 

What are the advantages of Agentic Process Automation?

Essentially powered by different AI/ML models, LLMs, LAMs, and GenAI, Agentic Process Automation quickly analyzes huge amounts of data and brings forth solutions to business issues in a context-sensitive manner to stay competitive in dynamic business environments. 

Some of the best advantages of Agentic Process Automation are - 

• Autonomous automation: It delivers a full spectrum of automation in less-defined process structures.
• Speed to automation: It helps go beyond regular automation and achieve hyper speed to deliver solutions.
• Adaptability: It adapts to dynamically changing business scenarios and achieves pre-defined goals in target-oriented scenarios.
• High productivity: It creates a high-performance work culture that drives precedents of high accuracy, productivity, and efficiency.
• Speed to action: It takes highly accurate and speedy decisions and fast actions even in dynamic, high-octane environments where humans can falter.
• Scalable and flexible: It quickly scales up operations and augments different technologies to achieve superior automation levels.

Simply put

Dynamic business environments demand instant resolution to business challenges. Agentic Process Automation goes beyond contemporary automation frameworks and autonomously ensures accurate and speedy decisions in high-octane environments where humans err. It dynamically adapts to change and achieves pre-defined targets in a context-sensitive framework to institutionalize a high-performance work culture. 

Next reading

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