Artificial intelligence
Understanding RPA: what are we really talking about?
Publiée le November 18, 2025
Publiée le November 18, 2025
Robotic Process Automation (RPA ) refers to the use of software robots capable of performing repetitive tasks in place of humans. These bots reproduce actions performed via a graphical interface or APIs: gathering information, filling in forms, generating reports, sending e-mails, etc. Contrary to popular belief, an RPA bot is not endowed with autonomous intelligence: it follows a deterministic scenario based on business rules. The aim is to eliminate low value-added tasks, reduce errors and enable teams to concentrate on analysis and customer relations.
RPA mainly acts on processes :
Stable and structured: recurring operations with few exceptions.
Rule-based: decisions are based on explicit criteria, not intuition.
Constrained by heterogeneous systems: RPA links applications that don’t naturally communicate with each other (ERP, CRM, Excel, web portals).
In 2025, RPA will be increasingly interwoven with other technologies (AI, process management, APIs) to form “intelligent automation” or agentic solutions. UiPath, for example, promotes the idea ofagentic automation, where AI agents cooperate with robots and humans to drive complex processes; the platform integrates generative AI functionality, self-healing robots and broader operating system support.
It is important to distinguish RPA fromartificial intelligence (AI):
RPA: deterministic approach. Robots perform tasks exactly as planned, without complex decision-making. They are particularly effective for structured processes (data entry, accounting reconciliations).
AI: probabilistic approach. Algorithms learn from data, recognize patterns and give answers with a margin of uncertainty. They are suitable for tasks requiring comprehension or judgment (text analysis, image recognition, trend prediction).
These two approaches are not mutually exclusive: modern platforms combine RPA and AI. For example, a robot can trigger an AI model to classify incoming e-mails, then enter the extracted information into a CRM. This hybridization is at the heart of so-called hyper-automation strategies.
The benefits of RPP are many:
Productivity and shorter lead times. In 2025, RPA is widely adopted. An article by Flobotics indicates that adoption has reached record levels thanks to AI and hyper-automation, and studies show that 53% of organizations have already deployed robots, with widespread adoption expected in the next two years.
Quality and compliance. Bots reduce input errors and create comprehensive audit trails. An estimated 92% of companies that have implemented RPA report improved compliance, and 86% higher productivity.
Cost savings. By eliminating manual tasks, companies can reduce operational costs and achieve a return on investment (ROI) of 30% to 200% in the first year (flobotics.io).
Improved employee experience. Automating repetitive tasks increases satisfaction and reduces the risk of burnout: 91% of employees using automation tools say their work/life balance has improved.
The global RPA market is growing rapidly. According to Precedence Research, its value is estimated at 28.31 billion USD in 2025, and could reach over 211 billion USD by 2034, representing a compound annual growth rate (CAGR) of 25%. North America currently accounts for almost 39% of revenues, but Asia-Pacific is the most dynamic region. The BFSI sector (banking, insurance, financial services) accounts for 28.89% of the RPA market, and remains the main user (itransition.com).
This growth can be attributed to several factors:
Pressure on costs: RPA can absorb large volumes without increasing headcount.
Digital transformation and intensifying competition: companies are embracing automation to improve the customer experience and stand out from the crowd.
Technological advances in AI (NLP, computer vision, LLM) and integration (APIs, low-code) that broaden use cases.
Common use cases include :
E-mail processing and request sorting: automatic sorting of incoming e-mails, extraction of attachments, creation of tickets or folders in a CRM system.
Update data between systems: synchronize customer or product information between ERP and CRM, consolidate data in a data warehouse.
Accounting and financial reconciliation: compare bank transactions with invoices, automate closing entries.
Onboarding and offboarding: creation of user accounts in multiple systems, generation of contracts and welcome letters.
Human resources management: payroll data entry, updating HR files, processing leave requests.
Hyper-automation consists of combining these RPA use cases with process analysis (process mining) to identify new opportunities, and AI to process unstructured data (NLP, OCR). According to UiPath, the future lies in “agents” capable of making decisions and interacting autonomously with humans and robots.uipath.com.
RPA is not a miracle solution. It is less relevant for processes that are unstable or require complex interpretation. A few points to watch out for:
Automating faulty processes: if a process is poorly designed or has too many exceptions, automating it may amplify the malfunctions.
Maintenance and evolution: robots rely on interfaces that can evolve (software changes, new ergonomics). Monitoring and updating systems are necessary to avoid breakdowns.
Governance: unstructured adoption can create a “robot zoo” that is difficult to maintain. Development, security and version management standards need to be defined.
Human acceptance: automation can raise concerns among employees. It is essential to communicate the benefits and involve them in the transformation.
In just a few years, RPA has become a key component of digital transformation. With more than half of companies already committed to it, and a rapidly expanding market, the question is no longer whether to automate, but how to do it effectively. The combination of RPA and AI opens up considerable prospects: automated e-mail classification, natural language understanding, data extraction from unstructured documents, even synthesis and report writing. Organizations that know how to anticipate and orchestrate this convergence will have a decisive competitive advantage.