From Fortune 500 Exclusive to Open Conversational AI Platform
PolyAI has opened its Agentic Dialog Platform to any builder with an email address, shifting from a large-enterprise-only model to broad self-serve access. The same conversational AI platform that underpins complex customer interactions for brands like Marriott, Foot Locker, PG&E, Caesars Entertainment, UniCredit and FedEx is now free to use for the first two months. Previously accessible only through enterprise engagements, this infrastructure has been battle-tested on more than a billion enterprise conversations, handling high-stakes use cases such as medical screening, gas leak emergencies and payment issues. The platform supports 75 languages across 25 countries and, at its largest deployments, performs work equivalent to more than 1,000 full-time employees. By removing both contractual friction and initial cost, PolyAI is positioning its enterprise dialog systems as a practical option for CX, product, operations and developer teams that want to evaluate agentic AI tools without lengthy procurement cycles.
Lowering the Barrier: Build a Production-Ready Agent in Minutes
At the heart of PolyAI’s push to democratize enterprise dialog systems is Poly Agent Builder, a no-code, natural-language-driven tool. Teams describe their business needs in everyday language, and the platform automatically configures the agent, knowledge base, conversation tracks and guardrails in minutes. PolyAI claims that anyone can create a production-ready dialog agent in under ten minutes, then immediately test it live, analyze call data and refine behavior through ongoing interaction with the platform. This abstraction of conversational design complexity means non-specialists in contact centers, operations or product roles no longer need deep AI expertise or bespoke development resources to launch sophisticated agents. For organizations that have struggled to translate proof-of-concept chatbots into robust, multi-turn conversational AI, the self-serve AI builder approach promises a shorter path from idea to production-grade automation that can actually resolve customer issues end-to-end.
Agentic AI Tools for Both No-Code Builders and Developers
Beyond no-code capabilities, PolyAI is targeting technical teams with an Agent Development Kit (ADK) designed for full-stack integration. The ADK offers self-serve API keys, native integrations and CLI support, so developers can build within their preferred IDEs, version agents with Git and deploy from the terminal. A shareable testing environment lets cross-functional teams validate agent behavior across channels before go-live, tightening the feedback loop between CX leaders and engineering. Underneath, the platform runs on Raven, PolyAI’s proprietary dialog model trained on more than one billion enterprise conversations. Unlike general-purpose large language models retrofitted for chat, Raven is built specifically for dialog, with agent behavior embedded directly in the model weights. Enterprises can use Raven as the default or plug in models like GPT-5, Claude or Gemini, aligning the conversational AI platform with existing AI stacks while preserving PolyAI’s dialog-specific strengths.
Enterprise-Proven Performance Now Within Reach of Smaller Teams
PolyAI is emphasizing that the newly self-serve AI builder is backed by performance metrics already proven at scale. The Agentic Dialog Platform powers FedEx operations across more than 20 countries, supports hundreds of hotels and casinos so they never miss a call, and runs more than 3,000 restaurant locations. Restaurant brand Fogo de Chão reportedly achieves a 95% guest satisfaction score on the platform, while UniCredit has seen a 14-point increase in Net Promoter Score. In many cases, deployments handle the work of over 1,000 full-time employees per enterprise. Making this level of automation and customer experience improvement available without an enterprise sales cycle could reshape how smaller organizations evaluate conversational AI. Instead of generic chatbots, they can experiment with the same enterprise dialog systems used for mission-critical, high-complexity interactions, then scale as their needs and confidence grow.
Democratizing Conversational AI Across the Enterprise Stack
PolyAI’s move reflects a larger shift in the agentic AI tools market: capabilities once reserved for deep-pocketed organizations are becoming self-serve infrastructure. By combining a dialog-native foundation model, no-code configuration and developer-friendly tooling, the company is betting that teams across customer experience, product and engineering will standardize on a shared conversational AI platform rather than fragmented point solutions. The two-month free access period lowers the risk of experimentation, encouraging organizations to explore use cases beyond customer support, from operations workflows to proactive outreach. As enterprises increasingly seek to “move at the speed of thought,” PolyAI’s open platform signals that advanced enterprise dialog systems are no longer niche, bespoke projects. Instead, they are becoming reusable, configurable building blocks that any team can adopt, iterate on and connect into broader digital transformation initiatives.