For a long time, artificial intelligence in companies worked like a helper – it analyzed data, spotted patterns, and gave suggestions, while humans made the final decisions. But that is now changing. Experts noted that AI is no longer just assisting; it is starting to take a more active role in decision-making, though humans remain in the loop for important decisions.
As business systems evolve, the line between human decisions and machine actions is becoming less clear. “We are now moving into the phase of “Agentic AI” – systems that are not just intelligent, but also understand context and can respond in real time to influence outcomes,” Shankar Iyer, Director, Business Strategy, India, Infobip, said.
This shift is largely driven by the massive growth in digital communication. A 2026 report by Infobip revealed that the company handled 628 billion interactions in 2025 alone. Over the past 20 years, that number has reached 3.8 trillion messages, showing just how fast communication has scaled—far beyond what older systems were built to manage.
In India, this growth is even more noticeable. Businesses are now using multiple platforms to connect with customers. Recent data shows:
• RCS usage has increased by 70%
• WhatsApp business interactions have grown by 21%
• Marketing and advertising traffic has jumped by 219%, while professional and education sectors saw a 130% rise
Introducing the Unified “Operating Layer”
To handle this complexity, experts said that companies are moving away from separate tools and adopting unified systems. This kind of platform brings together customer data, communication tools, and support systems into one place.
Infobip has introduced Infobip AgentOS, an AI-led platform that integrates customer data, journey orchestration, cloud contact centre capabilities, and AI agents into a single framework. It is designed to help enterprises manage marketing, sales, and support functions more efficiently without relying on multiple tools.
“Infobip AgentOS marks a shift where intelligence is no longer distributed across disconnected systems but unified into a single operating layer that interprets intent as it emerges and sustains it through completion. It is not designed to coordinate steps but to eliminate the idea of steps. Within this structure, execution becomes a continuous state rather than an event-driven flow, allowing enterprises to operate on a living context instead of fragmented instructions”, Iyer added.
What comes next will not look like the systems built so far. It will not rely on fixed sequences or delayed alignment. Action will not wait to be assembled; it will surface already complete and in real time. The gap between trigger and outcome will keep shrinking, changing how quickly work moves across systems and decisions. What really shifts is the pace at which things get done, with execution moving closer to intent and responsiveness becoming part of how the system naturally operates.
Research firm Gartner has identified Agentic AI as one of the top trends for 2025 and 2026. According to them, the most valuable systems are those that can solve problems on their own while still involving humans when needed.