Infobip is marking its 20th anniversary with a forward-looking bet on agentic AI, positioning its newly launched Infobip AgentOS as a foundation for the next phase of customer communications and enterprise engagement.

Two decades after its founding in Croatia, Infobip is entering what it describes as its most transformative phase—one defined by the transition from omnichannel messaging to autonomous, AI-driven customer interactions.

Founded in 2006 by Silvio Kutić and Izabel Jelenić with a modest €25,000 loan, the company has grown from an SMS-focused provider into a global cloud communications platform supporting more than 15 integrated channels. Its trajectory reflects the broader evolution of enterprise communications—from basic messaging infrastructure to fully orchestrated digital experiences.

The latest chapter centers on agentic AI, a model where autonomous AI agents manage complex workflows and interactions on behalf of both businesses and customers. Infobip’s AgentOS platform is designed to operationalize this concept by unifying customer data across marketing, sales, and support functions into a single orchestration layer.

In practical terms, agentic AI refers to systems capable of independently executing tasks, making decisions, and interacting with other systems. For customer experience (CX), this could mean AI agents handling tasks such as booking services, resolving billing issues, or managing support queries without direct human intervention.

Infobip’s strategy aligns with broader industry trends. Gartner forecasts that by 2028, AI agents will outnumber human sellers by a factor of ten, though fewer than 40% of organizations are expected to see productivity gains initially. This gap highlights a key challenge: while interest in AI is high, execution remains uneven.

Supporting this view, research conducted in collaboration with Massachusetts Institute of Technology indicates that only a small percentage of generative AI pilots currently deliver measurable business value. Fragmented data systems and disconnected workflows are cited as primary barriers.

Infobip’s AgentOS platform is positioned as a response to these challenges. By consolidating data and enabling cross-functional orchestration, the platform aims to provide the infrastructure needed to deploy AI agents at scale while maintaining human oversight.

The company is also exploring how AI-driven communication intersects with emerging messaging standards. One area of focus is integrating search intent directly into conversational channels such as Rich Communication Services (RCS), enabling users to move from discovery to interaction without leaving the messaging environment.

This approach reflects a broader convergence across digital ecosystems. Technology leaders like Google, Microsoft, and Amazon are embedding AI into search, messaging, and cloud platforms, blurring the lines between discovery, engagement, and transaction.

For enterprise marketing and customer experience teams, the implications are significant. Traditional engagement models—built around linear customer journeys and human-led interactions—are being replaced by dynamic, AI-driven systems capable of real-time decision-making.

Infobip’s long-term vision suggests that by 2030, AI agents will not only interact with customers but also communicate directly with other AI systems, creating a network of automated interactions. In this scenario, customer engagement becomes less about individual touchpoints and more about continuous, contextual communication across channels.

This shift also introduces new operational challenges. Enterprises must ensure data consistency, governance, and compliance while enabling AI systems to operate autonomously. The need for integrated platforms that can manage these complexities is likely to drive further investment in AI-native infrastructure.

From a competitive perspective, Infobip operates within a crowded communications platform market that includes players such as Salesforce and Adobe, both of which are embedding AI into their customer experience ecosystems. Infobip’s differentiation lies in its focus on communications infrastructure and its ability to integrate multiple channels into a unified platform.

The company’s history of bootstrapped growth adds another dimension to its positioning. Reaching a billion-dollar valuation before raising external funding is relatively uncommon in the SaaS and communications sectors, and it underscores a long-term focus on operational scalability.

As Infobip marks its 20-year milestone, its messaging reflects continuity as much as change. The company’s original mission—to connect people through technology—remains intact, but the methods are evolving rapidly.

Izabel Jelenić’s recollection of the company’s early days, including the challenge of justifying its name, highlights a recurring theme: anticipating shifts before they become mainstream. That perspective now extends to agentic AI, which Infobip sees as the defining force of the next decade.

For enterprise leaders, the broader takeaway is clear. AI is no longer confined to experimentation. As platforms like AgentOS move from pilot to production, the focus is shifting toward operationalizing AI at scale—integrating it into core business processes and customer interactions.

Infobip’s 20th anniversary, therefore, is less a retrospective milestone and more a marker of transition. The company is positioning itself—and its customers—for a future where AI agents become central to how businesses communicate, operate, and compete.

Market Landscape

The rise of agentic AI is reshaping the customer experience and martech landscape. Enterprises are moving beyond chatbot implementations toward fully autonomous systems capable of managing end-to-end interactions.

Major technology ecosystems, including Google, Microsoft, and Amazon, are investing heavily in AI-driven communication frameworks, while platforms like Salesforce and Adobe are integrating AI into CRM and CX stacks.

According to Gartner and research from MIT, the next phase of AI adoption will depend on overcoming data fragmentation and operational silos. Platforms that unify data and enable orchestration—such as Infobip AgentOS—are likely to play a central role in this transition.

Top Insights

• Infobip marks its 20th anniversary by launching AgentOS, an AI orchestration platform designed to enable enterprise adoption of agentic AI across marketing, sales, and support functions.
• Agentic AI is emerging as a key trend, with Gartner forecasting AI agents will outnumber human sellers by 2028, though productivity gains remain uneven across organizations.
• Infobip’s platform addresses data fragmentation challenges by unifying customer data, enabling scalable deployment of AI agents with built-in human oversight and governance.
• Integration of search intent with messaging channels like RCS signals a shift toward real-time, conversational customer engagement driven by AI systems.
• Competition from platforms like Salesforce and Adobe highlights the growing importance of AI-native infrastructure in shaping the future of customer experience and enterprise communications.

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