Why We Should Rethink RPA Now?

Why We Should Rethink RPA Now?

Increasing workforce pressures, cost containment, and the quest for efficiency are driving businesses to seek more agile and scalable solutions.

Automation, which is at the center of digital transformation goals, is no longer just a tool that takes over repetitive tasks. RPA (Robotic Process Automation) is evolving to integrate into decision support systems and serve the more strategic goals of organizations.

In this new era, RPA is being redefined with contextually aware systems that can optimize not only manual tasks but also decision points within the process.

That’s why it’s time to re-evaluate RPA not just as an automation tool, but as a core component of your digital transformation journey.

In this article, we will focus on SAP’s RPA solutions and what they can bring to the business.

The Current State of RPA: Evolution of Automation

Traditional RPA solutions were effective at automating rules-based processes that relied on structured data.

However, these systems could not be fully integrated into dynamic business processes due to their inflexible structure and reliance on IT. They were limited, especially in areas such as multi-system integration, process updates, and exception management.

Today, the proliferation of low-code/no-code technologies democratizes automation. Now, not only developers but also business units can model and automate their processes.

At this point, SAP BTP Build Process Automation stands out among modern RPA solutions:

SAP BTP is more than a platform; it is the digital backbone of your intelligent enterprise. It combines application development, integration, data, and AI in one cohesive environment designed for mission-critical business operations.

SAP BTP Highlights:

• Application Development and Automation: Accelerate innovation with low-code/no-code tools, reusable components, and frameworks built specifically for enterprise needs.
  
  
• Data Management: Leverage real-time, reliable data from SAP and third-party systems to power analytics and AI.
  
  
• Natural Integration with SAP: Data security and system continuity are guaranteed thanks to its structure that works in harmony with SAP systems.
  
  
• Process Visualization: User-friendly interfaces facilitate the modeling of process flows.
  
  
• Triggers and Supports API: It enables automations to be started under various conditions and integration between systems.
  
  
• Artificial Intelligence for Developers: Equip applications with productive AI and machine learning capabilities that automate everything from data enrichment to testing.

What Makes BTP Stand Out from the Rest?

• Designed for Business Applications: Optimized for SAP and non-SAP environments, BTP helps reduce development time by up to three times and increases ROI through intelligent automation.
  
  
• Enterprise Scale Automation: Empower your workflows with AI to accelerate testing, reduce manual effort, and improve process accuracy.

Thanks to these capabilities, fast, secure, and sustainable automation projects can be developed in SAP environments.

New Era: Smart Automation in Processes with Agentic AI

While traditional RPA systems work within certain rules, today’s needs require more flexible, predictive, and adaptive solutions. This is where Agentic AI comes into play.

Agentic AI refers to artificial intelligence agents that not only automate certain tasks but also independently plan, execute, and adapt themselves when necessary. These systems:

• Can understand user input in natural language,

• Can take proactive actions by analyzing processes,

• It can make recommendations based on the user’s preferences and habits.

The formula RPA + AI = Cognitive Automation goes beyond classic automation and adds contextual awareness and learning capability. SAP’s innovative tools in this area are:

SAP Joule Agent – Proactive, Contextual and Multi-Step Process Assistant

Joule Agents are AI agents that independently plan, execute, and adapt to multi-step workflows.

They act according to the user’s context, coordinate between departments, and accelerate processes. Integrates with SAP Knowledge Graph and SAP Business Data Cloud and makes more accurate decisions by accessing all business processes and data.

Competencies

• Optimizes cross-functional processes (e.g., cash collection and dispute resolution) to be completed in a few seconds through cross-agent collaboration.
  
  
• It starts with real-time user inputs, business events, or system triggers, then interacts with the user in steps such as data collection, policy control, recommendation generation, etc.

Multi-Agent Job Support

• Each agent focuses on a specific business function (e.g,. procurement, finance, customer service).

• In case-proven examples, the “Case Classification Agent” detects the billing problem, then passes it on to the “Cash Collection Agent” to create an end-to-end solution.

This structure breaks down data silos across the enterprise, creating fast and automated workflows.

Joule Studio – Low-Code/No-Code AI Agent Development Platform

Joule Studio, within the SAP Build environment, is a development environment that enables businesses to create, test, deploy, and manage “AI agents” and “skills”.

It allows you to specify the agent’s goals in natural language with user-friendly, low- or no-code interfaces.

Key Features

• Context-Driven Agent Development: With SAP Knowledge Graph and Business Data Cloud, agents are embedded in business data and processes.
  
  
• Cross System Integration: Covers SAP and third-party use cases.

• Security & Compliance: All agents are centrally monitored; transaction data and privacy are controlled.
  
  
• Agent Orchestration: Multiple agents can execute the same or interdependent tasks together.

Where to Start? Discover and Prioritize Your Processes

The right process selection is as critical as a strong technology infrastructure for a successful automation project.

While organizations often see automation as a technology investment, end-to-end process visibility and tight coordination between business units and IT teams are required to get the most efficiency.

The following steps should be followed before getting started:

• Process mapping and analysis: Detailed documentation of existing business processes
  
  
• Automation prioritization: Prioritization of processes according to added value, repetition frequency, and manual workload
  
  
• Collaboration with process owners: Combine the experience of business units with the technical expertise of IT

This approach ensures that resources are properly directed and ROI is maximized.

Let’s Start Together: You are invited to our RPA Workshop!

Nagarro + Nagarro are organizing a comprehensive workshop that combines strategic insight with practical planning to help businesses turn AI and automation technologies into a tangible impact.

What’s in the Workshop?

• AI101 Training – Learn the basics of RPA (Robotic Process Automation) and understand its place in AI/ML-based transformation.
  
  
• Process Prioritization Roundtable – Identify together the processes where automation can create the most value.
  
  
• RPA Roadmap Design – Create a customized automation roadmap aligned with your business goals.