Floward deployed Infobip AgentOS to manage a 13-fold spike in customer service demand, demonstrating how AI-native contact centre platforms can absorb seasonal or event-driven volume without proportional headcount increases. This capability addresses a persistent operational challenge: traditional queue management and agent scheduling struggle when demand becomes unpredictable or compressed into narrow windows. Rather than hiring temporary staff or accepting service degradation, Floward leveraged agentic AI to handle routing, initial triage, and likely first-contact resolution, allowing human agents to focus on complex interactions. The scale achieved—13x peak demand—suggests the platform moved beyond simple chatbot deflection into genuine workload distribution.
The implications for CX teams are twofold. First, this validates a shift in how contact centre leaders should evaluate staffing models: the question is no longer whether AI can supplement agents, but whether your current platform architecture can actually distribute work intelligently across human and AI capacity. Teams running legacy systems or point solutions face a structural disadvantage when demand spikes; those on integrated platforms like Infobip AgentOS, Zendesk's voice-enabled stack, or similar unified environments can scale without architectural friction. Second, this raises a critical question for mid-market and enterprise buyers: if a vendor can demonstrate 13x scaling on a real customer, what does that mean for your current SLA commitments and staffing budgets? The answer likely forces a reckoning with whether your existing platform—whether Zendesk, Freshdesk, or Salesforce Service Cloud—has the agentic layer needed to compete, or whether you're paying for agent seats that could be replaced by orchestrated AI workflows.
Floward's case also signals that the contact centre market is fragmenting along architectural lines. Vendors offering true agent orchestration (AI + human in a single workflow) are pulling ahead of those offering AI as a bolt-on feature. For CX leaders evaluating 2026 tooling, the relevant benchmark is no longer "does it have AI?" but "can it handle demand elasticity without manual intervention?" Floward's success suggests the answer increasingly depends on whether your platform treats agents and AI as interchangeable resources within a unified queue, rather than separate systems that require manual handoff logic.
Floward Scales Customer Service to Handle 13x Peak Demand With Infobip AgentOS Business Wire