May 2026 Summaries

Email seed list testing is a widely used method for evaluating email deliverability by sending campaigns to test addresses across various mailbox providers to determine if messages land in the inbox, spam folder, or are undelivered. While it offers benefits such as early detection of deliverability issues, visibility across different providers, and trend monitoring, it also has limitations, including the non-representative behavior of seed accounts and the potential for misleading results due to engagement-based filtering by mailbox providers. As deliverability becomes more personalized, seed testing should be used as a directional tool rather than a definitive measure, complementing other metrics like open and click rates for a comprehensive understanding of email program health. Despite its limitations, when applied correctly, seed list testing can help marketers identify issues before they become significant, but it should not replace engagement monitoring or become the sole deliverability strategy.

Twilio's Conversation Intelligence platform enhances customer and agent experiences in contact centers using real-time data, transforming traditional quality assurance methods that focus on past interactions into dynamic tools that improve live engagements. Twilio Flex, leveraging Conversation Orchestrator and Intelligence, enables the management of customer journeys through real-time language operators, offering live agent assistance and supervisory options. The platform supports script adherence by checking if agents follow key operating procedures during interactions, with flexibility for custom configurations to meet specific business needs. Twilio integrates these capabilities into its Flex plugin, allowing agents to receive immediate insights and guidance directly within their desktop interface, thereby enhancing productivity and customer satisfaction. The integration of sentiment and summary operators further enriches the interaction by providing periodic feedback, paving the way for more personalized and effective communication strategies.

Apple Messages for Business (AMB) is positioned as a transformative tool for businesses seeking to connect with customers through the Apple ecosystem, emphasizing trust, branding, and seamless interaction. Unlike traditional messaging methods, AMB allows businesses to engage customers via multiple entry points such as websites, apps, and QR codes, maintaining continuity across Apple devices. It stands out as a secure, interactive platform that integrates features like Apple Pay, enabling frictionless transitions from customer inquiries to purchases within a single branded interface. In contrast to SMS and iMessage, AMB offers a verified and end-to-end encrypted experience tied to Apple accounts rather than phone numbers, prioritizing user privacy and control. Its focus on quality engagement over quantity aligns with Apple's "Privacy First" philosophy and is designed to enhance user experience, thereby encouraging brand loyalty and retention within the Apple ecosystem.

AI observability is an advanced practice designed to monitor AI models and agents in production, ensuring they produce correct, safe, and useful outputs, which traditional monitoring systems cannot fully capture. Unlike standard metrics that focus on system uptime and latency, AI observability evaluates the quality of AI outputs, checking for issues like hallucinations, script violations, and compliance with brand standards in real time. It consists of four core components: traces, metrics, logs, and evaluations, with evaluations being unique to AI systems. In the customer service context, AI observability is crucial as it monitors AI agents' behavior, allowing businesses to intervene in real time during conversations, thereby preventing potential compliance violations or customer dissatisfaction. Twilio's Conversation Intelligence exemplifies this by using generative AI to analyze interactions, detect risk signals, and enable immediate escalation to human agents, ensuring AI agents align with business operations and enhance customer experience.

Twilio has been recognized with the Modern Consumer Award for Excellence in Customer Service in the Omnichannel Customer Service Platform category, highlighting its role as a leading infrastructure provider for customer engagement in the AI age. Organized by Grupo Padrão, this award is part of the largest edition ever, with over 600 companies participating, and underscores Twilio's position as a benchmark in technology for customer service, engagement, and experience in Brazil. The award process, conducted by CX Brain, stresses the increased competitiveness and diversity of technological solutions, reflecting the evolving nature of customer experience. Twilio's commitment to expanding its ecosystem in Brazil and investing in technologies to enhance customer relationships is emphasized by José Eduardo Ferreira, Vice-President LATAM at Twilio. Recent improvements to Twilio's platform, demonstrated at SIGNAL San Francisco, focus on the agent era, showcasing the company's dedication to advancing CX centered on human relationships while leveraging technology.

AI technology offers significant opportunities for reducing call center costs by automating routine, high-volume interactions and enhancing the efficiency of human agents through real-time assistance and automated post-call tasks. By employing AI voice agents, call centers can manage simple queries such as password resets and order status checks without human intervention, thus reducing costs associated with labor and repetitive tasks. AI also helps decrease average handle time by providing agents with instant access to relevant information, and it minimizes after-call work by generating automatic call summaries, which improves overall data quality and efficiency. Additionally, AI addresses hidden costs like context loss and repeat contacts by maintaining a persistent customer memory and ensuring continuity across different communication channels. These enhancements not only lower operational costs but also improve job satisfaction among agents by allowing them to focus on more complex and engaging tasks, which in turn reduces attrition rates and recruitment costs. Overall, AI integration in call centers can lead to significant, measurable cost savings and improved customer and agent experiences.

In 2023, Gmail introduced a set of sender requirements aimed at improving email delivery and inbox placement, with Google identifying "Top 10 Sender Issues" to guide bulk senders. These include authenticating outgoing mail through SPF, DKIM, and DMARC; respecting user preferences regarding content and frequency; utilizing Google Postmaster Tools for insights into domain and IP reputation; and maintaining low spam rates. Google also advises a gradual increase in sending volume to avoid delivery issues, avoiding misleading subject lines and display names, minimizing the sharing of IP addresses and domains, and not engaging in spoofing tactics. By following these guidelines and staying informed through Google's Help Center, senders can enhance their email program's performance and reputation, aligning with the evolving priorities of mailbox providers towards authentication, consistency, transparency, and user experience.

Chatbots and conversational AI are often confused but serve different purposes in digital interactions. A chatbot is a specific software interface that simulates conversation, typically through text and sometimes voice, to handle customer interactions automatically. They range from rule-based chatbots, which use decision trees and keyword triggers, to AI-powered chatbots that incorporate natural language processing for intent recognition and dynamic response generation. However, chatbots primarily produce output without completing workflows. On the other hand, conversational AI is a broader technology stack that enables more intelligent, human-like interactions across various channels and includes capabilities like natural language understanding, dialogue management, and action-taking. While all AI chatbots use conversational AI, this technology also encompasses applications such as voice assistants and AI agent systems. Chatbots are suited for simple, predictable tasks, whereas conversational AI is necessary for complex, multi-turn, and cross-channel interactions where the AI needs to take action rather than just respond. The evolving landscape sees businesses leveraging agentic AI systems that autonomously resolve interactions, providing a seamless customer experience across channels.

Twilio has been recognized as a Leader in the 2026 Gartner Magic Quadrant for Communications Platform as a Service (CPaaS) for the fourth consecutive year, being noted for its ability to execute and comprehensive vision. Twilio's developer-first approach has enabled it to serve over 12 million developers globally, providing robust tools that ensure fast and reliable communication. The platform integrates communication channels, customer data, and AI to deliver personalized and secure consumer interactions, blocking significant fraud attempts and facilitating trillions of digital engagements. Twilio continues to innovate with AI-driven capabilities, enhancing its platform with features like Voice AI, Conversation Relay, and rich communication channels, ensuring businesses can deliver persistent and contextual customer engagements. The company is committed to advancing its platform's capabilities, focusing on conversational AI and unified customer data to meet evolving enterprise demands.

The tutorial provides a comprehensive guide to building a voice and SMS AI agent using Twilio Agent Connect (TAC) and Microsoft Azure, highlighting the integration of various technologies such as the Azure OpenAI Service, Microsoft Agent Framework, and Azure Container Apps. It details setting up communication channels, deploying AI models, and configuring conversation memory to maintain context across interactions using tools like Python, FastAPI, and the Azure Developer CLI. The guide emphasizes the importance of configuring Twilio phone numbers and webhooks correctly to ensure seamless communication, and it offers troubleshooting advice for common issues. By storing agent state in Azure Cosmos DB and using conversation memory to track interactions, the AI agent can provide contextually aware responses across different channels, demonstrating the potential for customization and expansion of AI capabilities in communication systems.

Voice AI and conversational AI are distinct yet interconnected technologies, with conversational AI serving as the broader intelligence layer capable of understanding, reasoning, and responding to human language across various mediums, including text and voice. Voice AI specifically applies this intelligence to spoken language interactions, utilizing speech-to-text and text-to-speech components to facilitate real-time, voice-based communication. While conversational AI can function without voice, as seen in text-based chatbots and messaging bots, voice AI inherently depends on conversational AI for its underlying intelligence. The decision to use voice AI or stick with text-based conversational AI depends on the specific use case, such as the immediacy required in phone support or the nuance capture needed in voice interactions. Twilio supports both voice and conversational AI, integrating them into a single seamless communication experience across multiple channels like voice, SMS, WhatsApp, and chat.

In the evolving landscape of web development, MediaWiki installations are particularly vulnerable to modern bot threats due to their collaborative editing nature and legacy system vulnerabilities. The article discusses challenges faced by outdated MediaWiki setups, like version 1.26, which are susceptible to bot attacks that scrape data or inject spam, ultimately straining server resources. The author shares insights from personal experience, highlighting the importance of identifying different types of bot activities—ranging from well-behaved scrapers to aggressive spammers—and implementing protective measures without disrupting existing custom configurations. Strategies include using MediaWiki's built-in tools such as robots.txt and LocalSettings.php to restrict bot activities, alongside third-party solutions like Cloudflare to provide an additional layer of defense. By employing these tactics, site administrators can reduce unwanted bot traffic, improve site performance, and conserve bandwidth, ensuring that resources are preserved for legitimate users.

SIGNAL San Francisco 2026 highlighted Twilio's cutting-edge innovations and its transformative approach to technology, emphasizing that experiences are crafted with intention rather than purchased. The event showcased Twilio's commitment to reshaping enterprise software with "systems of agency," moving beyond static records to AI systems that can reason and act for customers. Keynote speakers, including Twilio's leadership and industry partners, emphasized the practical application of Twilio's unified platform, demonstrating how integrated data and communication channels can create personalized, human-like interactions. The event also spotlighted Twilio's social impact initiatives, illustrating how technology can address pressing global challenges. Attendees were encouraged to build with curiosity and perseverance, drawing inspiration from NASA engineer-turned-YouTube innovator Mark Rober's emphasis on "engineering grit." The event culminated in interactive experiences like the Operator Challenge, designed to engage participants with Twilio's full product suite in a dynamic, puzzle-based format.

Voice AI technology in 2026 enables machines to understand and respond to spoken language in real-time, offering a more natural and conversational alternative to traditional interactive voice response (IVR) systems. Unlike IVR, which is menu-driven and limited to scripted responses, voice AI is intent-driven, capable of understanding context, managing interruptions, and handling complete customer service workflows autonomously. This advanced technology leverages speech-to-text, natural language understanding, dialogue management, and text-to-speech components to deliver seamless, human-like interactions, reducing the need for human intervention in customer support, appointment scheduling, and lead qualification. Platforms like Twilio's Conversation Relay provide low-latency solutions with flexibility to integrate various language models, ensuring robust performance even under real-world conditions. As businesses adopt voice AI, the focus is on minimizing latency, ensuring compliance, and maintaining smooth handoffs to human agents when necessary, ultimately enhancing efficiency and freeing human agents for tasks requiring nuanced judgment.

Clea Moore, Principal Product Manager at Yahoo Mail, discusses email deliverability challenges and strategies in a Q&A session, emphasizing the importance of user-driven signals over content and subject lines. With her extensive experience in optimizing email engagement and deliverability, Moore highlights the shift in focus from open rates to meaningful engagement metrics like clicks and conversions, especially in the context of changes brought by Apple Mail Privacy Protection. She introduces Yahoo's 'Insights' tool, which provides senders with aggregated delivery performance data and highlights the importance of maintaining a low spam complaint rate to ensure strong email deliverability. The conversation also touches on the significance of avoiding negative user signals, maintaining clean recipient lists, and authenticating email domains to improve email reputation and avoid spam filters.

Ola, introduced by Twilio Forward, is an innovative agent-native communication channel and oversight platform designed to bridge the trust gap between AI agents and users as these agents become increasingly autonomous. Unlike traditional communication methods, Ola offers a structured and secure way for AI agents to interact with users, allowing them to send requests for action, which are evaluated based on user-defined permissions. This platform enables users to maintain control over their agents by auto-approving low-risk actions, routing higher-risk tasks for user approval, and blocking unauthorized actions. Ola ensures a verified identity for each user and agent, and every authorization is cryptographically signed, providing a transparent and verifiable record of activities. Built on Twilio's Agent-to-Human protocol, Ola uses biometric and passkey authentication for high-stakes approvals and offers a killswitch for immediate agent shutdown if needed. Launched initially as a web app for non-commercial use in the U.S., Ola is part of Twilio Forward's mission to explore and implement cutting-edge technologies in collaboration with the developer community.

Twilio has integrated its customer engagement workflows directly into Claude by Anthropic, enabling teams to create and manage communication-based processes more efficiently within their AI workspaces. This integration, facilitated by the Twilio Connector for Claude available in Claude Cowork and Claude Code, allows for seamless transitions from natural-language requests to functional workflows, leveraging real-time access to Twilio’s communications platform. By using Model Context Protocol (MCP) and Twilio Skills, Claude can select products, apply architecture patterns, and generate implementations based on Twilio’s live API specifications, effectively transforming it into a collaborative tool for building customer engagement experiences. Developers can utilize the Twilio plugin for Claude Code, which includes expert-authored guidance, to design systems using Twilio’s best practices, ensuring that workflows align with current API capabilities and reducing errors and inefficiencies.

Twilio has launched the "Twilio for Disaster-Ready Communities" initiative, aiming to enhance digital early warning systems by 2030, in response to the increasing frequency and severity of weather-related disasters. This initiative aligns with the United Nations' "Early Warnings for All" framework and focuses on three main pillars: reliable technology, community-led funding, and the active involvement of Twilio employees, known as "Twilions." Twilio is committed to providing technology that ensures alerts can reach millions across various channels, while also offering grants through the Twilio.org Impact Fund to empower local organizations to develop and maintain these systems. Twilions contribute by volunteering their skills to help nonprofits integrate real-time weather data and design effective response strategies. Already, Twilio's platform is being utilized by organizations like the National Oceanic and Atmospheric Administration and city leaders in Cali, Colombia, to coordinate emergency responses, illustrating the potential impact of this initiative in closing the global early warning gap.

Twilio offers a comprehensive solution for orchestrating seamless AI-to-human agent handoffs using its suite of products: Agent Connect, Conversations Orchestrator, Studio, and Flex. This setup ensures that when a customer needs to transition from a virtual AI agent to a human agent, the process is smooth and maintains context, preventing any disruption in the customer experience. By utilizing the Twilio Agent Connect (TAC) SDK, businesses can facilitate this transition without forcing customers to switch channels or repeat their issues. The solution involves setting up a Studio Flow to handle the conversation context and enables live agents in Twilio Flex to receive an AI-generated summary of the prior interaction. This architecture synchronizes conversation data in real-time and empowers human agents with detailed summaries, enhancing customer engagement and ensuring a unified communication journey.

Twilio has introduced the Model Context Protocol (MCP) server and Twilio Skills package, aimed at enhancing the capabilities of AI coding agents by providing them native access to over 1,800 Twilio APIs. This launch addresses challenges developers face when integrating Twilio products, as AI agents often lack comprehensive knowledge of Twilio's extensive API ecosystem. The MCP server allows agents to search and retrieve detailed API specifications, while Twilio Skills guide agents in selecting the appropriate endpoints and best practices for customer engagement solutions. Together, these tools enable AI agents to better understand and implement Twilio's offerings, leading to more efficient and accurate code generation for tasks like setting up marketing campaigns and performing real-time sentiment analysis. The MCP server and Skills are available across popular AI coding platforms, allowing developers to connect their agents without the need for a Twilio account or complex setup processes.

Twilio has launched its AI Startup Searchlight 2026, an initiative aimed at recognizing and supporting innovative startups that leverage emerging technologies like voice, identity, generative AI, and conversational AI on the Twilio platform to enhance communications and customer engagement. This program, now in its fourth year, offers two tracks: Breakthrough Builders for early-stage startups, and Scaling Visionaries for venture-backed companies with proven market traction. Startups are invited to apply by demonstrating their integration with Twilio and must have raised less than $200 million in venture funding. Selected honorees will receive resources such as Twilio and OpenAI credits, media exposure, and strategic support from Twilio Ventures, as well as opportunities for co-marketing and participation in TwilioWorld. Applications are open until September 11, 2026, with winners announced in November.

Twilio Conversation Memory is a managed service designed to provide AI and human agents with persistent context across customer interactions, enhancing personalization and efficiency by eliminating the need for customers to repeat information in each new contact. This service extracts essential data from conversations across various channels, such as Voice, SMS, WhatsApp, and RCS, and ties it to a persistent customer profile, enabling agents to access relevant context through a single API call. It resolves customer identity by automatically linking multiple identifiers like phone, email, and WhatsApp to a single profile, and works in conjunction with Twilio's Enterprise Knowledge to ground agent responses in actual business knowledge, such as FAQs and product documentation. Conversation Memory addresses the challenges of cross-channel identity resolution, selective context retrieval, and knowledge grounding, offering a scalable solution that integrates easily, reduces token costs, and maintains relevance by recalling only pertinent information. By storing memory independently of any AI runtime, it allows for flexibility in model switching without losing critical context, thus providing a comprehensive lifecycle solution for businesses looking to improve their customer engagement strategies.

Conversation Orchestrator, introduced by Twilio, is a new technology designed to unify customer interactions across various communication channels such as Voice, SMS, RCS, and WhatsApp, without needing to reconstruct existing systems. By integrating with Twilio's Conversations Layer, it ensures a seamless customer experience by maintaining context across AI and human agent handoffs, thus eliminating the need for customers to repeat information. The system connects interactions into a continuous conversation, using tools like Conversation Memory, Enterprise Knowledge, and Conversation Intelligence to maintain a single thread of communication and improve both AI and human agent efficiency. This approach addresses the issue of context loss typically experienced when switching channels or transitioning from AI to human interaction, offering a more connected and informed customer experience.

Twilio Agent Connect is a model-agnostic orchestration layer that facilitates the deployment of AI agents into production-ready voice and messaging experiences, seamlessly integrating with Twilio's global network and Conversation Layer. By handling complex aspects of real-time communication such as low-latency streaming, session management, and AI-to-human handoff, it allows developers to focus on the behavior and logic of AI agents rather than intricate coding details. With its self-hosted SDK and compatibility with various AI providers like OpenAI, Azure, Bedrock, and in-house models, Twilio Agent Connect offers flexibility and control over data and models, avoiding vendor lock-in. It supports continuous, context-aware interactions across multiple channels, enabling businesses to create consistent and personalized customer journeys while maintaining sustainable and scalable AI deployments.

In the evolving landscape of customer engagement, Twilio introduces a new conversation layer to address the existing gaps in customer interaction systems, where AI agents are increasingly central but often lack cohesive integration with customer data and channel history. The new Twilio products—Conversation Orchestrator, Conversation Memory, and Conversation Intelligence—are designed to facilitate seamless interactions by maintaining context across different systems and channels, thereby improving customer experience and operational efficiency. These tools, complemented by a revamped Twilio Console and expanded channel capabilities, aim to provide businesses with the infrastructure to create more connected and responsive engagements, reducing integration complexity while enhancing productivity. Twilio emphasizes neutrality, allowing businesses to choose their models and frameworks while offering tools like the open-source Twilio Agent Connect for flexibility and reduced vendor lock-in. Successful implementations by companies like Car Finance 247 and Centerfield demonstrate the potential for Twilio's platform to enhance customer engagement by streamlining processes and improving real-time interaction quality.

In this detailed exploration, the process of building an omnichannel AI customer service agent using Twilio Agent Connect and Amazon Bedrock AgentCore is described, focusing on the challenges and solutions involved in creating a seamless experience across voice and SMS channels. The reference architecture, demonstrated through the fictional SkyOwl Airlines, emphasizes the integration of Twilio's communication management tools with AWS's microVM technology to achieve persistent memory, low-latency interactions, and session continuity. Key architectural decisions, such as using bidirectional WebSocket for real-time voice streaming and profile-based session pinning, are highlighted for their role in enhancing user experience by maintaining conversation context. The implementation leverages AWS tools like the Strands SDK and Twilio's Conversation Memory to ensure that AI agents have a continuous, context-rich interaction with users, thereby transforming AI agents from mere tools to valuable service providers. The post concludes by inviting readers to explore and extend the reference architecture available on GitHub, underscoring the collaborative efforts of Twilio and AWS experts in pushing the boundaries of AI-driven customer engagement.

Twilio has launched a major update to its platform, introducing Twilio Conversations, which aims to transform customer interactions into continuous, contextual conversations across various channels and participants, including humans and AI agents. This new platform layer, announced at the SIGNAL event, unifies capabilities such as Conversation Memory, Conversation Orchestrator, Conversation Intelligence, and Agent Connect, with the goal of enhancing customer engagement. The launch signifies Twilio's shift from being a pure API provider to becoming a comprehensive engagement platform, emphasizing the critical role of partners in this ecosystem. By 2029, it is estimated that 200 million AI agents will be engaging with humans on behalf of enterprises, and Twilio's open architecture is designed to support this growth without the need for extensive overhauls. Twilio is also introducing new partner certifications to help partners specialize and differentiate their offerings, with further developments and resources planned to support partner engagement and implementation efforts.

Twilio has launched a revamped Console designed to streamline customer engagement by providing a unified platform for managing communications, identity, and data. This new Console, acting as a central hub, aims to reduce the complexity of using multiple tools by offering features such as a dynamic home page, global search, and a console switcher for seamless navigation between products like SendGrid and Segment. It includes a new Explore Products feature for easy product trials, a Numbers & Senders hub for simplified compliance and onboarding, and a centralized developer workbench for efficient debugging. Additionally, the Console offers integrated AI support, a built-in Support Center for ticket management, and an organization-level billing experience, all intended to enhance user experience and operational efficiency.

Twilio's Conversation Intelligence is a real-time AI signaling engine integrated into the Twilio Conversations platform that transforms live interactions into actionable insights. By leveraging GenAI-powered Language Operators, it converts raw dialogue across voice and messaging channels into structured signals, such as intent, sentiment, and risk, enabling immediate actions like tailored responses and workflow automation. This system closes the "activation gap" by allowing businesses to act on insights as conversations unfold, rather than relying solely on post-interaction analytics. It supports a programmable, model-agnostic architecture that avoids the pitfalls of both off-the-shelf AI and DIY solutions, offering a unified intelligence layer for both human and AI agents. This integration enhances customer engagement by turning potential issues into opportunities for retention, fraud prevention, and compliance, while allowing for continuous improvement through aggregate analysis and governance of interactions.

The tutorial provides a comprehensive guide to building a WhatsApp fact-checking bot using Twilio, OpenAI, and Node.js, aimed at helping users verify the authenticity of forwarded messages across various media formats such as text, images, audio, and video. The bot utilizes Twilio for message handling, Express.js for managing webhooks, and OpenAI’s language models for analyzing and verifying the content, including transcription of audio and video files when necessary. It employs a lightweight web verification process to ensure factual accuracy, providing users with a credibility assessment and, when possible, a reputable source link. The guide includes detailed steps for setting up the development environment, configuring necessary services, and deploying the bot, with potential enhancements suggested for future development.

In April 2026, Twilio commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study to assess the value of investing in the Twilio platform, which aggregates data from interviews with decision-makers in various industries. The study revealed that using multiple Twilio products, such as Messaging, Email, and Voice, along with Segment CDP, significantly enhances customer engagement, leading to a 190% ROI and $12.5 million in net present value over three years for a composite organization. Participants reported improved conversion rates, streamlined authentication processes, increased productivity, and substantial cost reductions by consolidating legacy systems into the Twilio platform. Furthermore, the platform's flexibility allows for customization that accelerates innovation and builds customer trust. Real-world feedback from industry leaders underscores the platform's transformative impact, with notable improvements in call delivery rates and authentication success rates. The report emphasizes the necessity for organizations to adopt adaptable and reliable solutions like Twilio to meet evolving consumer expectations and secure a competitive advantage in the market.

The blog post discusses leveraging Voice AI technology to achieve sustainable ROI by transforming voice data into actionable insights with the help of Twilio and Spoke. It emphasizes the importance of establishing a solid foundation and setting clear, value-generating goals for AI success, rather than expecting instant transformative results. Twilio Voice Insights provides comprehensive call data capture and real-time issue resolution, while tools like Branded Calling enhance customer trust and engagement. Conversation Intelligence offers a detailed understanding of customer interactions, allowing for personalized coaching and improvement of agent performance. Spoke Enlighten further automates call quality assessment and coaching, fostering continuous improvement and efficient management. The blog highlights that the true advantage in Voice AI lies with those who actively use data to drive action, turning every conversation into an opportunity for growth and success.