Forethought vs Infobip
Side-by-side trajectory, velocity, and editorial themes.
Forethought pivots from answering questions to executing outcomes via Orchestrator and Browser Agents.
Forethought is in the middle of a deliberate platform-narrative shift. April shipped two foundational pieces: Orchestrator, which routes business signals into deterministic AI actions across channels, and Browser Agents, which can take actions in apps that don't expose APIs. Test Suite landed alongside as the validation tooling for agent behavior before deployment. The CEO's 'Next Chapter' post frames the same direction in plain language: AI moving from answering to resolving.
The company is repositioning from a customer-support intent and triage AI to an outcomes-execution layer for enterprise customer experience. Browser Agents are the bet that the long tail of CX work lives in apps without proper APIs — making the agent capable of clicking through them is the moat. Orchestrator and Test Suite are the deterministic-control and validation pieces that make this defensible enough for enterprise procurement.
Expect a tightening of the integration story — pre-built Browser Agent flows for common CX systems like Zendesk and Salesforce Service Cloud — and an explicit outcomes-priced packaging emerging over the next quarter as the company moves past per-seat or per-resolution pricing.
Infobip is rebuilding its CPaaS stack around AI agents, MCP servers, and AgentOS.
Recent quarterly updates (Q3 and Q4 2025, Q1 2026) frame a consistent direction: AI as a first-class layer of customer-communications infrastructure, with AgentOS unifying agent management and MCP servers exposing telephony and messaging channels to LLM-driven agents. Surrounding the AI work are channel upgrades (WhatsApp Business Calling, RCS onboarding, Vocalize voice) and CDP/CRM integration depth. The crawler captured a lot of page chrome — most of the recent feed is generic CTAs and section headers — but the substantive entries paint a clear AI-CPaaS thesis.
Infobip is racing Twilio, Bandwidth and Sinch to define what 'AI-native CPaaS' actually looks like. The MCP server angle is the most interesting bet: if it sticks, every AI agent build becomes a potential Infobip integration, not just contact-center vendors. Expect continued packaging of channel + AI bundles aimed at enterprise buyers who want one vendor for both.
The next observable moves will be more named integrations between AgentOS and major LLM platforms, additional MCP server coverage across remaining channels (email, voice IVR), and a reference architecture for autonomous customer-service agents that handle real transactions, not just FAQs.
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