Robotic process Automation (RPA) has been a great innovation which enabled businesses to automate their repetitive and manual tasks to achieve higher operational efficiency and save a lot of manual effort and time. Building RPA pipelines can sometime become a time-consuming activity due to multiple factors like process complexity, inconsistencies in existing process etc.

Can we leverage the power of Agentic AI in this space as well? Let’s understand.

What is Agentic AI?

Agentic AI is an advanced type of AI which is capable of understanding the environment based on the context provided, take decisions autonomously at each step based on the context and the previous steps. Agentic AI tries to achieve a specific goal by making informed decision, calling external APIs and interacting with multiple different tools.

Agentic AI has the ability to dynamically adapt to new environment and challenges which makes it a very good choice for handling uncertainties in any RPA based workflows. Usually, the Agentic AI is backed by a Large Language Model (or Multi modal models). These models are evolving with time; hence, the performance and the decision-making ability of the AI Agents will also evolve with time.

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Conclusion

Agentic AI has the potential to redefine the scope and capabilities of RPA, making it more powerful and intelligent. As challenges are addressed and technologies evolve, the future of automation will become more autonomous, efficient, and impactful. Given the significant scope and demand, many businesses are likely to adopt this technology on a much larger scale. Agentic AI opens up new possibilities across industries. Businesses that embrace this technology early will gain a competitive edge, driving innovation and operational excellence.

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