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Today's topic of conversation - Twilio's pitch for next-generation customer engagement in the agentic era
Customer engagement has always had its challenges, but with rising customer expectations for more personalized experiences and the growing use of AI to deliver them, organizations need help. Enter, Twilio. The enterprise customer engagement platform provider today launches several new capabilities to enable consistent, intelligent conversations among humans, systems, and AI. Omar Paul, VP of Product for Twilio, starts from a premise that modern customer engagement is broken. Organizations are dealing with siloed data, fragmented channels, and integration complexity, when the reality is that every interaction builds on the last one. AI was supposed to be the answer to these challenges, but instead, says Paul, it's just added a new layer of complexity. Organizations are pouring millions and more into AI, hoping it's the answer to their engagement problems, but what happens all too often is that they build AI agents that start cold every time they interact with a customer. Now this is something humans struggle with as well, but AI was supposed to change things. The problem across both humans and AI is that there is no persistent memory or context of previous interactions. According to Paul, AI is failing on broken infrastructure on several levels: The answer for Twilio was to build a stronger foundation for conversations to close these gaps. Twilio has created four new products within its engagement platform to ensure every customer conversation doesn't start from scratch: Along with these new products, Twilio has introduced a new front door to the platform - the Twilio Console. The new console brings everything under one login, so customers can explore products, manage compliance, view billing, and perform day-to-day work. The new conversation products build on the promises Twilio made at its Signal Conference last year, including fusing AI into products to enhance workflows and giving brands the flexibility to use the AI tools they want. During that conference, conversation AI was the primary focus, and the company announced ConversationRelay, which makes it easier for developers to create and deploy human-like voice agents. This year, Twilio has added native integration with Deepgram Flux, Payment Card Industry (PCI)- compliant Voice workflows, and voice activity detection for natural conversations. The new Conversation Intelligence product builds on ConversationRelay and Conversational Intelligence (also announced last year). According to Paul Nashawaty, Principal Analyst, theCUBE Research: Twilio's latest platform capabilities deliver a trusted infrastructure layer for conversations; one that makes them contextual, persistent, and personal across every channel and participant, human or AI. That foundation is increasingly critical as conversational AI scales, with 85% of consumers already interacting with AI agents in recent months and 68% expecting seamless, consistent experiences across channels, forcing enterprises to unify communications, data, and intelligence into a single, interoperable engagement layer. If you pay heed to research, most AI projects fail. But are they failing because of the AI or because they aren't built on the critical infrastructure that brings together the data, context, and connections needed? Twilio customers who want to deliver better experiences for their customers will look at these new products and start developing new use cases that support customer conversations across channels, leveraging AI in new and innovative ways. I checked out Twilio's demonstration of the Conversation products, and it was impressive to see interactions work smoothly across channels, even when the interactions were dropped and re-created. For example, a customer support call was accidentally dropped, and the AI understood and took initiative to reconnect with the customer and perform other necessary activities. This is the kind of engagement customers want today - consistent, contextual, and personalized, regardless of whether it's an AI agent or a human.
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Twilio launches conversation platform for AI agent era By Investing.com
SAN FRANCISCO - Twilio Inc. (NYSE:TWLO) announced Tuesday the general availability of four platform capabilities designed to enable persistent, context-aware conversations across multiple communication channels for both human and AI agents. The company unveiled Conversation Memory, Conversation Orchestrator, Conversation Intelligence, and Agent Connect at its SIGNAL user conference in San Francisco. The capabilities are intended to maintain conversation history and context across different channels and interactions, according to a press release statement. Conversation Memory extracts and maintains customer history, preferences, and conversation state across channels. Conversation Orchestrator provides routing, escalation, and handoffs between humans and AI agents. Conversation Intelligence uses generative AI to turn conversations into real-time intelligence across voice and messaging. Agent Connect is an open-source framework that connects AI agents and models to Twilio's voice and messaging channels. "The agentic era is here. Agents are joining conversations alongside the people they represent, and modern customer engagement requires an infrastructure that serves both equally," said Khozema Shipchandler, Chief Executive Officer at Twilio.Investors have responded enthusiastically to the company's strategic direction, with the stock surging 38.8% over the past week and trading near its 52-week high of $196.37. The $29.68 billion company has delivered a remarkable 93.87% return over the past year. According to InvestingPro data, 14 analysts have revised their earnings upwards for the upcoming period, with net income expected to grow this year. The company also released a redesigned console that includes Workbench, a workspace for developers, and an integrated AI assistant. The new interface allows customers to try Twilio products directly within the console. Additional announcements include the general availability of Twilio Email, built on SendGrid technology, and updates to Conversation Relay with Payment Card Industry compliant voice workflows. The company launched a public beta for SMS data residency in the European Union and a private beta for Apple Messages for Business provider capabilities. Twilio also announced participation in Stripe Projects as a launch partner, enabling developers to provision Twilio services within Stripe's workflow. The platform capabilities have been in private beta with select customers since January 2026. Twilio operates in more than 180 countries and provides messaging, voice, and email infrastructure. In other recent news, Twilio Inc. reported strong financial results for the first quarter of 2026, exceeding analyst expectations. The company achieved an earnings per share (EPS) of $1.50, surpassing the forecasted $1.27, which represents an 18.11% surprise. Additionally, Twilio's revenue reached $1.41 billion, outperforming the anticipated $1.34 billion. These results highlight Twilio's robust performance in the early part of the year. The company's earnings and revenue figures were key highlights for investors, showcasing its financial strength. Analysts had projected lower figures, and Twilio's ability to exceed these expectations was noteworthy. The recent developments around Twilio's financial performance have caught the attention of investors and analysts alike. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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Twilio introduces four new AI-powered capabilities to enable context-aware conversations between humans and AI agents across multiple channels. The platform addresses a critical gap where 85% of consumers already interact with AI agents, yet 68% expect seamless experiences that most current systems fail to deliver due to siloed data and fragmented channels.
Twilio has launched four platform capabilities designed to fundamentally reshape how organizations manage customer engagement in the agentic era. The enterprise customer engagement platform provider unveiled Conversation Memory, Conversation Orchestrator, Conversation Intelligence, and Agent Connect at its SIGNAL user conference in San Francisco, addressing what VP of Product Omar Paul describes as fundamentally broken infrastructure
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. Organizations face siloed data, fragmented channels, and integration complexity that prevents both AI agents and human representatives from maintaining persistent context across interactions.
Source: diginomica
The challenge is stark: companies pour millions into AI hoping to solve engagement problems, yet most AI agents start cold with every customer interaction, lacking any memory of previous conversations. This absence of persistent context means customers must repeatedly explain their issues, whether speaking with humans or AI. According to theCUBE Research Principal Analyst Paul Nashawaty, 85% of consumers already interact with AI agents, while 68% expect seamless, consistent experiences across channels—expectations that current fragmented systems struggle to meet
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.The new platform capabilities work together to ensure every customer conversation builds on previous interactions rather than starting from scratch. Conversation Memory extracts and maintains customer history, preferences, and conversation state across all communication channels
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. Conversation Orchestrator handles routing, escalation, and handoffs between humans and AI agents, ensuring smooth transitions. Conversation Intelligence leverages generative AI to transform conversations into real-time intelligence across voice and messaging channels. Agent Connect provides an open-source framework that connects AI agents and models directly to Twilio's voice and messaging infrastructure.These capabilities have been in private beta with select customers since January 2025 and are now generally available. Twilio CEO Khozema Shipchandler emphasized the shift: "The agentic era is here. Agents are joining conversations alongside the people they represent, and modern customer engagement requires an infrastructure that serves both equally"
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.Demonstrations of the platform showed impressive continuity across channels. When a customer support call was accidentally dropped, the AI understood the situation and took initiative to reconnect with the customer and perform necessary follow-up activities
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. This represents the kind of contextual, personalized engagement customers demand today, regardless of whether they're interacting with AI or humans.The platform builds on promises Twilio made at last year's Signal Conference, including native integration with Deepgram Flux, Payment Card Industry-compliant voice workflows, and voice activity detection for natural conversations
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. The company also introduced a redesigned Twilio Console that brings everything under one login, allowing customers to explore products, manage compliance, view billing, and access an integrated AI assistant2
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Investors have responded strongly to Twilio's strategic direction, with the stock surging 38.8% over the past week and trading near its 52-week high of $196.37. The $29.68 billion company has delivered a 93.87% return over the past year, with 14 analysts revising earnings upwards for the upcoming period
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. The company reported strong Q1 2025 results with earnings per share of $1.50, exceeding the forecasted $1.27, and revenue of $1.41 billion, outperforming the anticipated $1.34 billion.The question facing enterprises is whether AI projects fail due to the technology itself or because they lack the critical infrastructure that brings together data, context, and connections. Twilio's bet is that by providing this foundational layer for conversations—one that makes them contextual, persistent, and personal across every channel—organizations can finally unlock the potential of AI agents to deliver superior customer engagement at scale.
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