New article The Five Layers of Agentic Voice Every Industry Eventually Needs a Common Architecture. The early personal computer industry evolved from a collection of proprietary systems into an ecosystem built around common hardware architectures and operating system standards. Cloud computing eventually developed reference architectures that enabled consistent enterprise deployments. Cybersecurity evolved beyond individual security products into layered defense models. Enterprise networking adopted the OSI Model as a common way to describe how complex systems interact, regardless of the vendors involved. As emerging technologies mature, they inevitably develop common frameworks that help customers, vendors, and practitioners speak the same language. https://www.tmcnet.com/voip/news/articles/463877-five-layers-agentic-voice.htm

Is everyone ready for the new EU regulations going into effect on 2 Aug? The EU AI Act's transparency requirements mandate that providers and deployers of AI systems clearly disclose when users are interacting with AI or viewing AI-generated content. This is every time an AI is interacting directly with a natural person it must explicitly disclose it is an AI in a clear and timely manner. When interacting directly with a natural person the AI must explicitly disclose it is an AI in a clear and timely manner. For agentic voice assistants (like automated receptionists, customer service bots, or outbound sales agents), this means: Upfront Audible Warning: The voice agent must announce itself as an AI system at the very beginning of the call, before any sensitive data is collected. No Buried Disclosures: Relying on disclosures in Terms & Conditions, hidden URLs, or purely text-based machine-readable logs is not compliant for direct interactions. Technical Labelling: Agentic voice architectures must embed auditable watermarking and metadata indicating synthetic audio generation. Language: The disclosure must be delivered in the language the conversation is being conducted in. Enforcement for these rules began on August 2, 2026, backed by the European Commission's Code of Practice on Transparency of AI-Generated Content. These transparency regulations come into strict enforcement across the European Union, with penalties reaching up to €35 million or 7% of global annual turnover. Furthermore, because live voice calls process sensitive data like names, phone numbers, and conversation transcripts, GDPR compliance is also fully required. My article about these other compliance issues to consider can be found at https://lnkd.in/d6mTEuvu

The first two years of AI Voice were about intelligence. The next two years will be about responsibility. Most organizations are focused on: ✅ Voice quality ✅ Latency ✅ AI models ✅ Agent workflows Very few are asking the questions enterprise buyers, compliance teams, and regulators are starting to ask: ❓ Can we legally make the call? ❓ Can we legally connect the call? ❓ How do global regulations affect agentic voice? ❓ What happens when AI scales from 100 calls a day to 100,000? ❓ Why is compliance becoming a board-level discussion? Join me for this week's Cloudonix AMA as we discuss: • The Global AI Voice Compliance Landscape • The "Two Maps Problem" (Compliance vs Telecom Infrastructure) • Countries that create deployment challenges • What enterprise buyers are starting to ask • Why governance may become more important than model quality 📅 Tuesday, June 30 🕒 3:30 PM Eastern Register: https://us02web.zoom.us/j/89388825800?pwd=PqMVSxFT3uQiMqAJWmN9EUcFLN5vmm.1 Bring your questions. This session is designed for: AI Agencies • Contact Center Leaders • Enterprise Buyers • AI Voice Developers #AIVoice #AgenticAI #ContactCenter #VoiceAI #Compliance #Telecommunications #Cloudonix #AIInfrastructure

I am Senior AI Engineer and Web/Mobile Developer specializing in intelligent automation systems and scalable software platforms. My main areas of expertise include LLM based applications, AI agents, RAG systems, multimodal AI, computer vision, speech AI, and end to end product development I work closely with enterprises to design and build trusted AI solutions that seamlessly integrate with existing APIs, databases, and corporate workflows My core technology stack includes Python, TypeScript, FastAPI, React, Next.js, React Native, Flutter, PostgreSQL, Redis, Docker, Kubernetes, AWS, GCP, and modern AI frameworks If you are looking for an experienced engineer for AI product development, business process automation, or building scalable web/mobile applications, please feel free to send me DM any time I am always welcome to discuss new projects or engineering opportunities

I’ve a question. Mostly businesses don’t want to buy a twilio number for Voice Agents. They want to use their current/existing number. What’s the solution?