A modern operations room: a wall of screens showing task queues, a clean workstation in the foreground

RPA and AI: Intelligent Automation for Productivity

What RPA can do on its own, what requires judgement, and where a person takes over: the real division of labour between rules, model and human.

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Introduction to Intelligent Automation

The digital era continues to transform businesses at a dizzying pace, and intelligent automation, which combines robotics, robotic process automation (RPA), and artificial intelligence (AI), is at the heart of this revolution. In 2025, these technologies are no longer merely futuristic concepts; they have become essential for improving the productivity and efficiency of businesses.

Understanding RPA and AI

RPA, or Robotic Process Automation, refers to the use of software to automate repetitive, rule-based tasks, allowing employees to focus on higher-value tasks. Artificial intelligence, for its part, enables machines to simulate human intelligence, with capabilities for learning, reasoning, and perception.

flowchart TB E(["A document arrives"]) E --> R["RPA: what is always\nthe same\n— open, extract, file"] R --> Q{"Is the case covered\nby the rule ?"} Q -- yes --> F["Handled without intervention"] Q -- no --> A["AI: what requires\njudgement\n— classify, reconcile"] A --> C{"Confident enough ?"} C -- yes --> F C -- no --> H["Escalate to\na person"] H -.->|"the human decision\nfeeds the model"| A

The Benefits of Intelligent Automation

Intelligent automation combines the power of RPA and AI to deliver significant benefits. It helps reduce human error, improve processing speed, and provide predictive analytics thanks to machine learning capabilities. These benefits translate into increased productivity and reduced operational costs.

The Associated Challenges and Risks

Despite its many benefits, intelligent automation also poses challenges. Data security, the risk of bias in AI algorithms, and the need to train employees in new skills are major concerns. Businesses must also manage the cultural changes associated with the adoption of new technologies.

Growing Adoption of Intelligent Automation

The adoption of intelligent automation is steadily increasing. Platforms such as UiPath, Automation Anywhere, Microsoft Power Automate, and SS&C Blue Prism have seen their adoption accelerate in recent years. This growth is fueled by the productivity gains and operational efficiency that these technologies offer.

The Impact on the World of Work

The deployment of intelligent automation is profoundly changing the work landscape. Repetitive and routine tasks are increasingly being handled by machines, while roles centered on analysis, creativity, and innovation management are gaining importance. Employees must adapt to these changes by acquiring new skills.

At Koaee, we apply this same logic of intelligent automation to customer relations: our conversational assistants handle repetitive exchanges with the customers of businesses, in sixteen languages. They rely on models such as Mistral (Voxtral) for voice processing and OpenAI (GPT) for text generation. Our servers are located in Europe and no conversation is retained.

Conclusion: Toward an Automated Future

Intelligent automation represents a major opportunity for businesses seeking to increase their competitiveness. However, to fully leverage these technologies, strategic planning and effective change management are essential. The future of work will be marked by close collaboration between humans and machines, paving the way for a new era of productivity.

Source: Eurostat, “Artificial intelligence by size class of enterprise” (isoc_eb_ai) — enterprises with 10–249 employees, France. Retrieved via API on 30 August 2026. The survey publishes neither 2022 nor 2026: the series stops at the latest available year.

Sources

RPAprocess automationdocument processinghuman escalationproductivity
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