
Customer experience shouldn't run on disconnected tools and static scripts. Dialpad Contact Center brings voice, digital channels, and human agents together in a single AI-native platform, built to act — not just record — on every customer interaction.
This is Agentic AI in practice: agents that reason through a problem, take the next step, and drive it to resolution without waiting on a human to intervene. Where legacy systems leave data trapped in silos, Dialpad Contact Center closes that gap, linking voice and data so context travels with the customer instead of getting lost between systems.
The payoff compounds. Dialpad has already generated over 775 million AI recaps, and each new interaction adds to a growing base of operational intelligence — sharper resolution paths, more productive agents, better outcomes quarter over quarter. None of it runs unchecked: Dialpad's Guardian layer keeps AI operations secure and governed, so intelligence scales without sacrificing oversight.
In practice, that means up to 80% of issues get resolved autonomously, freeing your team to focus on the conversations that genuinely need a human. Intelligence works at the edge; people stay at the center of the experience.
And you don't have to take the ROI on faith. Through Dialpad's Proving Ground, enterprises can validate performance and cost savings before rolling out at scale — a far more reliable path than betting on a brittle, rules-based bot.
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Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
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Amazon Nova 2 Sonic
Nova 2 Sonic is an innovative speech-to-speech model from Amazon that facilitates real-time voice interactions, seamlessly merging speech recognition, generation, and text processing into one cohesive system. This integration allows for natural and fluid conversations, effortlessly transitioning between spoken and written communication. With enhanced multilingual capabilities and a variety of expressive voice options, Nova 2 Sonic creates responses that are not only more lifelike but also display a deeper understanding of context. Its extensive one-million-token context window enables prolonged interactions while maintaining coherence with previous exchanges. Additionally, the model's ability to handle asynchronous tasks allows users to engage in conversation, switch topics, or pose follow-up inquiries without interrupting ongoing background processes, thereby creating a more dynamic and engaging voice interaction experience. Such advancements ensure that conversations feel less constrained by conventional turn-taking dialogue methods, paving the way for more immersive communication.
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Grok Voice Agent
The Grok Voice Agent API allows developers to create advanced voice agents with industry-leading speed and intelligence. Built entirely in-house by xAI, the voice stack includes custom models for audio detection, tokenization, and speech generation. This deep control enables rapid performance improvements and ultra-low latency responses. Grok Voice Agents support dozens of languages with native-level fluency and can switch languages mid-conversation. The API consistently outperforms competing voice models in human evaluations for pronunciation and prosody. Real-time tool calling and live search across X and the web are supported. Developers can integrate custom tools to enable dynamic task execution. The API follows the OpenAI Realtime specification for easy adoption. Pricing is a flat per-minute rate, making costs predictable at scale. The Grok Voice Agent API is designed for production-ready voice applications.
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