Robotic process automation (RPA) has reduced manual work by automating repetitive tasks such as data entry and invoice processing. Software bots follow predefined rules, but struggle with unstructured data and evolving environments.

From RPA to AI-Driven Automation

AI is changing automation, allowing systems to interpret context and adapt activities, especially with text and images. Large language models (LLMs) can summarize documents and extract details, automating decision-making and communication tasks.

Instead of rule chains, AI is used to handle variations in inputs. Automation becomes more flexible, adapting without reconfiguration. However, AI systems can be unpredictable. The solution is to combine AI and RPA, leveraging the strengths of each.

RPA: A Still Relevant Role

RPA remains useful for structured data and stable workflows, such as payroll processing and compliance checks. Its predictability is an advantage in regulated environments, such as financial reporting.

Often, RPA and AI collaborate: AI interprets inputs and passes structured data to RPA bots for execution. This allows extending automation without discarding existing systems.

Blue Prism and Intelligent Automation

Blue Prism, now part of SS&C Technologies, is moving towards intelligent automation, combining RPA with AI tools to process complex inputs. Platforms integrate automation and capabilities such as document processing and decision support, often through integrations with AI tools.

Gradual Transition

Many companies still use existing RPA systems, especially where processes are stable. Replacing them would take time and money. The transformation is therefore gradual: AI functionalities are added to extend automation, while maintaining RPA for suitable tasks. Rule-based systems will remain necessary.