In 2026, a shift is taking place towards agentic AI, action and orchestration oriented, where the interface becomes secondary to the benefit of execution.
While generative AI has sparked an unprecedented wave of enthusiasm, companies today face a more contrasting reality: the gap between experimentation and value creation remains significant. Many pilot projects still struggle to produce tangible gains across the organization.
For many companies, the accumulation of AI initiatives has not yet made it possible to profoundly transform productivity or the customer experience. However, 2026 marks a turning point: the gradual end of the “conversational chatbot” as a goal, and the emergence of a truly action-oriented AI – agentic AI.
A major shift takes place: the interface becomes secondary, execution becomes central.
The observation: the illusion of AI “added” to existing systems
The dominant model until now – that of an AI grafted in the form of a layer or plugin on existing systems – is now showing its limits. According to MIT, only about 5% of generative AI pilot projects generate measurable business value at scale. This glass ceiling is not just about technology. It is above all structural. In the majority of cases, AI has been deployed as a text production or response tool. It has automated the interaction, but rarely the action.
Result: AI often confined to a “conversational layer” role, fed by fragmented data, incapable of orchestrating end-to-end processes.
Getting out of the conversational illusion: the transition to agentic AI
To overcome this limit, organizations must make a paradigm shift: moving from response AI to execution AI. The distinction is structuring. A traditional chatbot responds. An AI agent acts. It does not limit itself to interpreting a request: it transforms it into a sequence of coordinated actions within the company’s systems. Concretely, an agent can process a customer complaint, trigger a refund operation, or organize a complete service process without direct human intervention at each stage. This change shifts the value of AI: it no longer resides in the quality of the conversation, but in the orchestration capacity of systems. This implies a major break: the end of application and data silos. In this model, the strategic question is no longer “which language model to use”, but “how to orchestrate all the data, APIs and business systems to enable action”. Without this orchestration layer, AI remains an isolated interface, with no real operational impact.
RCS 4.0: towards an operating system of intention
For this intelligence to become truly agentic, it must be part of a universal point of contact, capable of combining conversation, context and action.
This is precisely what the evolution of the RCS towards version 4.0 allows. RCS transforms native smartphone messaging into a complete service interface: user authentication, catalog navigation, product selection and secure payment can now be done directly in a conversation. This development profoundly changes the logic of interaction between brands and users. The challenge is no longer to multiply the points of contact, but to capture the intention as it emerges. By integrating transactional capabilities directly into the messaging flow, the customer journey is radically simplified. The intermediate steps – web navigation, application redirections, forms – are gradually disappearing. What was fragmented becomes a single, continuous, contextual flow.
Technological maturity as a foundation for trust
Twenty years after the rise of professional mobile communications, the ecosystem is entering a structuring phase of maturity. This maturity is essential: agentic AI cannot rely on unstable or fragmented infrastructures. It requires robust, interoperable and secure foundations. However, giving more autonomy to systems does not mean eliminating the role of humans.
According to several projections, AI agents will soon outnumber human users in certain value chains. But their development does not mark the disappearance of humans: it redefines their role. Humans refocus on what automation cannot absorb: exceptions, strategy, complexity, empathy.
From relationships to value creation in real time…
Agentic AI is not a simple technological development. It redefines the very nature of the interaction between brands and their customers. By moving from response to action, businesses are no longer just managing conversations. They are now orchestrating results. The value no longer lies in the visible interface, but in the invisible efficiency of the systems that underpin it. In this new model, technology fades to make way for the essential: fluid execution, in real time, in the service of trust and simplicity.
