Marc van Dongen
Associate Director - Technology , Amsterdam
Aleksandar Shokolarov
Associate - Technology , Amsterdam
Artificial Intelligence
In recent years businesses have encountered a wave of new technologies promising to reshape operational processes, and among these, Robotic Process Automation (RPA) has gained significant traction. Designed to handle repetitive tasks, RPA automates mundane, rule-based processes, freeing up human talent for more strategic work.
But, as business environments have grown more dynamic, the limits of traditional RPAs are becoming increasingly apparent.
Agentic AI marks a transformative shift from traditional RPA by incorporating cognitive capabilities that allow for autonomous decision-making and real-time adaptation. Unlike RPA's rigid automation, Agentic AI can learn, understand context, and independently optimize processes in response to changing business conditions. This evolution represents both a technological advancement and a strategic imperative for organizations seeking operational adaptability and competitive advantage.
This evolution from RPA to Agentic AI isn’t merely a technological upgrade; it’s a strategic shift that business leaders must understand and embrace to maintain a competitive edge. As a technology business leader, Synechron has paid special attention to this shift and dedicated substantial resources, through its research departments in India and the Netherlands, to the development of such AI models.
This article will explore Agentic AI, showcasing its potential for businesses transitioning from RPA by connecting it to tangible real-world examples, and demonstrating capabilities that have already been utilized here at Synechron.
RPA generally means software tools that are highly effective in automating rule-based tasks. These tasks, often repetitive and time-consuming, can be handed off to RPA solutions that then execute them with precision. However, RPA’s capabilities remain constrained to predefined workflows, meaning that any changes or unexpected conditions within a process can disrupt the automation.
Agentic AI builds upon the foundations laid by RPA, then takes automation to a new level by adding cognitive and adaptive abilities. Unlike RPA, Agentic AI can analyze complex data, interpret trends, and make autonomous decisions in real-time. This makes it particularly valuable in environments where conditions are constantly shifting. By introducing autonomous AI systems, businesses can achieve a level of operational adaptability that was previously unattainable, creating more resilient and responsive operations.
The real-world potential of Agentic AI to transform industries is vast.
Just to give three examples:
Synechron has been steadily identifying gaps and opportunities where Agentic AI systems can be developed and applied to real-world problems that have been traditionally difficult to automate. One such example is the problem of financial fillings, such as quarterly or yearly earnings reports, consisting of sometimes hundreds of pages that have to be manually generated and reviewed. Typically, a company would need to allocate substantial resources, time, and budget to complete this process.
To alleviate this burden, Synechron has developed an Agentic AI accelerator that generates these fillings automatically. It mimics the real-life process by allocating AI “agents” that both fill-in the reports and review them. This generation and review process is performed iteratively until the reviewing agents conclude that the documents are complete, thus producing the final reports.
The evolution from Robotic Process Automation to Agentic AI marks a pivotal shift in how business operations work, moving from simple task automation to intelligent systems capable of autonomous decision-making and adaptive problem-solving.
While RPA excelled at routine, rule-based processes, Agentic AI demonstrates remarkable abilities to understand context, learn from experiences, and execute complex workflows, with minimal human intervention. This advancement translates into tangible benefits: enhanced operational efficiency, reduced error rates, and the ability to handle unprecedented business challenges with greater agility.
For business leaders, the adoption of Agentic AI represents more than just a technological upgrade – it's a strategic imperative in today's competitive landscape. Organizations that harness these capabilities can unlock new value streams, optimize resource allocation, and deliver superior customer experiences. The technology's ability to process vast amounts of data and generate actionable insights enables more informed decision-making at all levels of an organization.
Looking ahead, Agentic AI will likely be a cornerstone of business resilience and innovation. As markets become increasingly dynamic and unpredictable, organizations equipped with intelligent, autonomous systems will be better positioned to adapt and thrive. This technology's continuous learning capabilities will ensure that businesses can evolve alongside changing market conditions, maintaining competitive advantage while building operational resilience.
At Synechron, we strongly believe that by embracing Agentic AI today, business leaders aren't just optimizing current operations – they're laying the foundation for a future where human creativity and artificial intelligence work in harmony to drive sustainable business success.