Infobip at 20: The AI Era Is Here, and the Next 20 Years Start Now

Why It Matters

Agentic AI promises to automate the majority of customer‑facing tasks, reshaping how brands engage and reducing reliance on human agents. Infobip’s AgentOS gives enterprises a scalable, data‑integrated foundation to adopt this shift ahead of competitors.

Key Takeaways

• Infobip launched AgentOS, enabling production‑grade agentic AI worldwide
• Company grew from €25k loan to $1 billion valuation
• Agentic AI expected to handle 90% of brand interactions by 2030
• AgentOS unifies data across marketing, sales, and support for AI orchestration

Pulse Analysis

Infobip’s two‑decade journey from a modest €25,000 startup to a global communications platform valued at over $1 billion illustrates how infrastructure and trust can be built before a market’s AI wave arrives. By expanding beyond SMS into more than 15 native channels, the company has created a robust omnichannel backbone that now serves as the launchpad for its AgentOS platform. This move aligns with broader industry forecasts that AI agents will soon outnumber human sellers, yet many pilots still struggle to deliver measurable ROI due to fragmented data and siloed systems.

AgentOS tackles those pain points by providing an AI‑native orchestration layer that consolidates customer data from marketing, sales and support into a single, actionable repository. The platform’s design emphasizes human oversight while allowing autonomous agents to execute tasks such as travel bookings, billing disputes, and real‑time search‑to‑RCS engagements. Research conducted with MIT shows only 5% of generative AI pilots generate tangible value, underscoring the importance of unified data and governance—areas where Infobip claims a competitive edge. Gartner’s projection that AI agents will outnumber human sellers ten‑fold by 2028 adds urgency for enterprises to adopt a scalable, secure solution.

For businesses, the shift to agentic AI represents both a risk and an opportunity. Brands that embed AI agents directly into their communication channels can deliver instant, context‑aware responses, meeting the emerging expectation that every interaction be as seamless as a native app experience. Infobip’s focus on connecting search intent to RCS for Business exemplifies how contextual engagement can become the new baseline for customer service. As the AI era matures, companies that leverage platforms like AgentOS will likely achieve higher productivity, lower operational costs, and stronger customer loyalty, while laggards risk falling behind in an increasingly automated marketplace.