---
title: "Twilio"
description: "Cloud communications platform providing APIs and services for messaging, voice, email, authentication, and customer engagement."
---

# Twilio
> Cloud communications platform providing APIs and services for messaging, voice, email, authentication, and customer engagement.

## Articles

### [Augment Voice Calls with Twilio Conversation Intelligence Using Node.js](https://yomu.fyi/post/augment-voice-calls-with-twilio-conversation-intelligence-using-node-j.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Matthew Setter, Dhruv Patel
- Published: Sep 30, 2026
- Type: Tutorial

Twilio Conversation Intelligence, Conversation Orchestrator, and Conversation Memory together analyze voice calls for a Node.js voice agent built with Conversation Relay. After a call, Twilio sends a webhook to /intelligence-results containing a call summary, sentiment analysis, and script adherence for categories like introduction with the required phrase “Thanks for calling Owl Air! I’m Hoot.” The developer creates a Memory Store and Conversation Configuration, then an Intelligence rule selecting Sentiment, Summary, and Script-Adherence operators triggered at conversation end. A Node.js handler extracts the data and persists it to a SQLite database using tables for intelligence\_results, operators, and operator\_script\_adherence\_categories. Testing involves calling the Twilio number and verifying the summary, sentiment, and script adherence records in the database.


### [How to Augment Voice Calls with Twilio Intelligence](https://yomu.fyi/post/how-to-augment-voice-calls-with-twilio-intelligence.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Matthew Setter
- Published: Sep 29, 2026
- Type: Tutorial

This tutorial shows PHP developers how to augment a Twilio voice AI agent with Conversation Intelligence, Conversation Orchestrator, and Conversation Memory. The goal is to retrieve a short summary of each customer call, analyze the caller’s sentiment, and check whether the agent followed set guidelines. The information is persisted to a SQLite database for later use. The tutorial builds on a previous voice agent tutorial and requires a Twilio account, a voice-capable phone number, and ngrok to expose the local server. It walks through setting up Conversation Orchestrator, Conversation Intelligence, and the application database, then testing the flow with example questions. The post also mentions the Conversations API (V2) for retrieving call summaries and sentiment analysis.


### [86% of brands think their AI works. Only 51% of customers agree.](https://yomu.fyi/post/86-of-brands-think-their-ai-works-only-51-of-customers-agree.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Jesse Sumrak
- Published: Sep 29, 2026
- Type: Problem & solution

A Twilio research report identifies a 35-point satisfaction gap: 86% of brands believe their AI customer service satisfies customers, but only 51% of consumers agree. The discrepancy arises because companies measure metrics such as conversation completion surveys and containment rates, which systematically exclude abandoned or unresolved interactions. 71% of consumers abandon a conversation when the AI fails to recognize them, yet those exits rarely appear in satisfaction data. 49% of consumers say AI never resolved their issue. To close the gap, Twilio recommends tracking abandonment by conversation stage, resolution of the underlying issue across sessions, repeat contact within seven days, containment split by outcome, and escalation quality.


### [AI-powered agents for contact center in Australia: containment quality, not deflection](https://yomu.fyi/post/ai-powered-agents-for-contact-center-in-australia-containment-quality.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Aliakbar Lokhandwala
- Published: Sep 28, 2026
- Type: Explainer

The Commonwealth Bank episode in 2025 demonstrated that a deflection metric is not a resolution metric: the bank reversed 45 redundancies after call volumes rose despite a voice bot credited with diverting 2,000 calls weekly. By May 2026, on a rebuilt platform, the same automation program achieved 84.6% end-to-end resolution for self-service messaging interactions. A peer-reviewed 2024 study found Whisper’s match error rate significantly higher for Australian English than American English, an effect of roughly 1.3 percentage points, with non-native accents worst affected. Australian regulation as of September 2026 imposes no affirmative AI disclosure duty, but misleading conduct provisions apply and an automated decision-making transparency obligation commences December 2026. Twilio’s platform offers an Australian region with emergency calling, model-agnostic agent execution, and a memory layer that preserves context during handoffs, addressing the containment quality gap.


### [AI-powered agents for contact center in India: what they can and cannot do](https://yomu.fyi/post/ai-powered-agents-for-contact-center-in-india-what-they-can-and-cannot.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Aliakbar Lokhandwala
- Published: Sep 28, 2026
- Type: Explainer

AI voice agents in Indian contact centers conduct end-to-end customer conversations using speech recognition, a language model, and text-to-speech, differing from agent assist which only suggests actions. Indian deployments are past pilot: Meesho handles 60,000 calls daily with a 75% cost reduction, and Bajaj Finance reports 71% of DIY service volumes handled by AI at one-third the human cost. The four-stage loop—speech recognition, language model, speech synthesis, telephony—must complete before the pause feels wrong, making architecture more critical than model choice. The Voice of India benchmark shows no system achieves under 20% word error rate across all 15 languages, so engine choice must be per-language and swappable. The RBI FREE-AI committee recommends informing customers they are talking to AI, human handling of complaints, and a route to a person, though these are not yet binding.


### [Best AI solutions for contact center in Philippines: a 2026 buyer’s guide](https://yomu.fyi/post/best-ai-solutions-for-contact-center-in-philippines-a-2026-buyer-s-gui.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Aliakbar Lokhandwala
- Published: Sep 28, 2026
- Type: Explainer

This guide compares AI contact center platforms for Philippine enterprises, focusing on regulatory and language constraints rather than feature lists. BSP Circular 1160 requires immediate written acknowledgement, 24/7 availability, and a dedicated fraud line, while BSP’s June 2026 AI governance principles hold institutions accountable for outsourced models. The NPC’s draft PIA circular would classify AI as high-risk, giving 90 days to comply after finalization. No independent Taglish benchmark exists, so the guide advises selecting a platform that allows swapping speech engines rather than committing to one vendor’s model. Philippine Airlines reduced wait times from two hours to under one minute and raised satisfaction from 67% to 95% using Twilio Flex.


### [Best AI solutions for contact center in India: a 2026 buyer’s guide](https://yomu.fyi/post/best-ai-solutions-for-contact-center-in-india-a-2026-buyer-s-guide.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Aliakbar Lokhandwala
- Published: Sep 28, 2026
- Type: Explainer

Indian contact centers face converging regulatory and operational pressures driving AI adoption. The Reserve Bank of India’s 2024 advisory requires customer communications in Hindi, English, and regional languages, while TRAI’s February 2026 direction mandates AI-based detection of unsolicited commercial calls using behavioral pattern analysis. A 31-point satisfaction gap between business perception and consumer reality, per Twilio’s November 2025 research, further compels investment. The vendor landscape divides into four groups: global CCaaS suites, Indian telephony platforms, AI specialists with Indic language models, and infrastructure providers like Twilio that combine carrier network with AI layer. No single solution fits all; the binding constraint depends on whether the operation prioritizes outbound compliance, vernacular accuracy, or data governance under the phased DPDP Act.


### [Best AI solutions for contact center in Australia: a 2026 buyer’s guide](https://yomu.fyi/post/best-ai-solutions-for-contact-center-in-australia-a-2026-buyer-s-guide.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Aliakbar Lokhandwala
- Published: Sep 28, 2026
- Type: Explainer

AI self-service is deployed in 51% of Australian contact centers but only 38% deliver expected results, with handover failures and regulatory changes driving a new evaluation approach. Only 13% achieve smooth self-service-to-human handovers, and 84% of Australians rate straightforward handover as important, yet 98% expect self-service volume to grow. The Privacy Act amendment effective 10 December 2026 requires disclosure of automated decision-making, affecting routing and scoring logic, while APRA’s April 2026 letter flags single-provider concentration as a risk under CPS 230. Australia reversed its voluntary AI stance in July 2026, announcing mandatory AI Standards and a Digital Duty of Care, with legislation expected in early 2027. Vendor selection now depends on security classification, composability for substitution, and decision logging, with the Commonwealth Bank’s experience—cutting then reversing AI-driven job cuts after increased call volumes—illustrating that containment quality and agent capability are better objectives than headcount reduction.


### [AI-powered agents for contact center in Philippines: what the term actually means](https://yomu.fyi/post/ai-powered-agents-for-contact-center-in-philippines-what-the-term-actu.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Aliakbar Lokhandwala
- Published: Sep 28, 2026
- Type: Explainer

In the Philippines, an AI-powered agent usually means a human agent assisted by AI for transcription, answer retrieval, live coaching, and wrap-up, not an autonomous software agent. The contact center sector employs 1.68 million people and earned $33.9 billion in 2025, with 56% of IBPAP members actively implementing AI. Published figures show a 22% reduction in call handling time from Concentrix and a 37% increase in agent satisfaction from TELUS Digital, but no benchmark measures Taglish speech. The IBPAP survey found 8% of operators reduced headcount, 13% increased it, and 24% saw job role shifts, while the IT-BPM sector added 70,000 net staff in 2025. Platforms like Twilio allow composable assist layers using models from OpenAI, Anthropic, or Azure, important where the language problem is unsolved and no Philippine rule requires disclosing AI use.


### [Scaling Beyond Borders: The 2026 Communication Blueprint for Chinese Brands](https://yomu.fyi/post/scaling-beyond-borders-the-2026-communication-blueprint-for-chinese-br.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Patricia Tham
- Published: Sep 28, 2026
- Type: Problem & solution

Chinese enterprises expanding overseas face fragmented communication channels, strict compliance regimes, and data residency mandates across 180+ markets. A programmable communication platform (CPaaS) eliminates the need to negotiate carrier-by-carrier in every country. Twilio’s global infrastructure — 335,000+ customers, 218+ voice-capable countries, and a 99.95% API SLA — provides a single integration point for SMS, voice, email, WhatsApp, and RCS worldwide. The platform comprises five layers: programmable messaging, voice APIs, SendGrid email, Twilio Verify, and Twilio Segment. Compliance features such as 3-region data residency and email authentication help brands navigate GDPR, TCPA, and other regulations.


### [How to Build an RCS Business Messaging Campaign with Twilio](https://yomu.fyi/post/how-to-build-an-rcs-business-messaging-campaign-with-twilio.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Dhruv Patel
- Published: Sep 28, 2026
- Type: Tutorial

Rich Communication Services (RCS) upgrades SMS with branded conversations, images, carousels, and read receipts delivered through the default messaging app. Twilio Programmable Messaging supports RCS as a first-class channel, reusing the same API as SMS. This tutorial covers building an RCS campaign in Node.js, including RCS Sender registration (a manual review process with test device support), creating a twilio/card content template with dynamic variables, and broadcasting personalized messages from a JSON list. Delivery status is tracked through a status callback webhook exposed via ngrok, and replies are captured through an inbound webhook when users tap suggested reply buttons. The guide also includes troubleshooting for common issues such as messages falling back to SMS, error codes 30001 and 63001, and webhook configuration errors.


### [How to Build an RCS Business Messaging Campaign with Twilio in PHP](https://yomu.fyi/post/how-to-build-an-rcs-business-messaging-campaign-with-twilio-in-php.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Dhruv Patel, Matthew Setter
- Published: Sep 28, 2026
- Type: Tutorial

Twilio’s tutorial explains how to build an RCS Business Messaging campaign in PHP, reusing the same Programmable Messaging API used for SMS. RCS turns standard text messages into branded conversations with images, carousels, verified sender logos, suggested replies, and read receipts delivered through the recipient’s default messaging app. The walkthrough covers registering an RCS Sender, attaching it to a Messaging Service, and designing a rich card template in the Twilio Content Template Builder. It then shows how to broadcast the campaign to a recipient list, track delivery status via a status callback webhook, and capture replies through an inbound webhook. Troubleshooting guidance addresses common issues such as messages falling back to SMS, senders pending approval, and missing status callbacks.


### [Building Localised, Enterprise-Grade AI Voice Agents](https://yomu.fyi/post/building-localised-enterprise-grade-ai-voice-agents.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Michelle Duke
- Published: Sep 28, 2026
- Type: Explainer

Building enterprise-grade AI voice agents in production demands managing real-time latency, telecommunication networks, regional accents, compliance frameworks, and unpredictable customer behaviour—issues that standard text-based LLM benchmarks do not capture. The recommended approach combines Microsoft Azure for hyperscale infrastructure, Twilio for global communications, and WIZ.AI for localisation, so engineering teams avoid building low-level infrastructure and focus on unique business value. Field data from WIZ.AI across Asia reveals an ideal conversational response window of 500–800 ms, with a P90 latency under 2.0 s currently acceptable, and real-time code-switching support for languages like Singlish and Hinglish. Success metrics shift from pilot capability to commercial production benchmarks such as connection rate, recognition and tagging accuracy, and measurable business outcomes like Promise-to-Pay conversion. Engineering practices to maintain code quality include cross-model code reviews and strict pull-request line-count guardrails enforced by pre-commit hooks.


### [How to handle real-time interruptions in your AI voice agent](https://yomu.fyi/post/how-to-handle-real-time-interruptions-in-your-ai-voice-agent.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Jesse Sumrak
- Published: Sep 25, 2026
- Type: Tutorial

Real-world AI voice agent calls are messy, with background noise, overlapping speech, and callers interrupting mid-sentence. Twilio Conversation Relay handles interruptions through attributes like interruptible, which controls whether caller input stops the agent’s speech, and ignoreBackchannel, which filters out short backchannel phrases. Background noise that sounds like speech can cause false interruptions and garbled transcripts; Twilio’s testing found Deepgram Flux produced zero transcription failures under combined noise, while a tuned Nova-3 setup also succeeded. Turn detection uses either a traditional silence timer or Deepgram Flux’s fused model, which reduces false interruptions by roughly 30% and trims response latency. When a caller interrupts, the app receives an interrupt message with the exact text played before cutoff, allowing it to trim the LLM’s conversation history so the model only remembers what the caller heard.


### [How to Build an RCS Business Messaging Campaign with Twilio in C#](https://yomu.fyi/post/how-to-build-an-rcs-business-messaging-campaign-with-twilio-in-c.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Amanda Lange, Dhruv Patel
- Published: Sep 25, 2026
- Type: Tutorial

RCS Business Messaging upgrades SMS with branded conversations featuring images, suggested replies, and read receipts delivered natively on the recipient’s phone. Twilio Programmable Messaging supports RCS via the same API used for SMS, allowing reuse of existing integrations. This tutorial teaches building an RCS campaign in .NET 10, requiring a Twilio account, registered RCS Sender, Messaging Service, ngrok, and a code editor. The process includes creating a rich card template with hero image, dynamic placeholders, and three buttons (Shop the sale, Send promo code, Unsubscribe), then broadcasting personalized messages via the Twilio helper library while capturing status and replies through webhooks exposed by ngrok. Test devices receive messages without waiting for full RCS sender approval, and the server terminal outputs inbound replies and status callbacks in real time.


### [The #1 AI behavior hurting your customers’ experiences](https://yomu.fyi/post/the-1-ai-behavior-hurting-your-customers-experiences.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Jesse Sumrak
- Published: Sep 25, 2026
- Type: Explainer

91% of brands report a drop in customer satisfaction from AI, and the top behavior causing this is losing context when customers change channels, cited by 40% of businesses. Three of the four main behaviors are context-related, with lack of empathy at 39%, inability to handle exceptions at 38%, and failing to understand at 36%. The infrastructure problem includes session boundaries, identity mismatches, channel-specific tooling, and batch timing that prevent context from following the customer, causing 74% of consumers to repeat themselves and 71% to abandon conversations. Twilio’s structural solutions—Conversations, Conversation Memory, and Conversation Orchestrator—attach context to the customer rather than the session and recommend starting with the chat-to-voice transition. To measure improvement, track repeat-explanation rate after a channel change, recognition rate, and abandonment at transition points.


### [What is AI agent orchestration? How it works in 2026](https://yomu.fyi/post/what-is-ai-agent-orchestration-how-it-works-in-2026.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Jesse Sumrak, Luke Morgan
- Published: Sep 25, 2026
- Type: Explainer

AI agent orchestration coordinates multiple AI agents working on a single task, deciding routing, carrying context, resolving contradictions, and escalating to humans when needed. It operates at two levels: the agent level, where frameworks like LangGraph route between specialized agents, and the conversational AI level, which preserves customer identity and history across Voice, SMS, and WhatsApp channels. Orchestration comprises four jobs: routing, shared memory and state, conflict resolution, and human escalation, with parallel execution requiring robust memory management. Twilio’s Conversation Orchestrator provides a shared conversation record as a system of record, while Conversation Memory extracts observations and resolves conflicts by updating records with the most recent version. The FAQ section addresses differences from workflow automation, comparison criteria for orchestration tools, and the mechanism for agent-to-human handoffs within the same session without callbacks.


### [How to Test and Fix Voice AI Agent Prompts with Twilio Conversation Relay and Cekura](https://yomu.fyi/post/how-to-test-and-fix-voice-ai-agent-prompts-with-twilio-conversation-re.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Paul Kamp
- Published: Sep 24, 2026
- Type: Tutorial

This tutorial demonstrates building a voice AI agent with Twilio Conversation Relay, Node.js, and the OpenAI API, then testing and fixing its prompts using Cekura automated platform, a Twilio Startup Searchlight award winner. Conversation Relay manages real-time voice tasks like speech-to-text, text-to-speech, interruption detection, and turn management over WebSockets, while developers control business logic, tools, and AI integration. Cekura defines evaluation metrics, generates test conversations with realistic caller scenarios—interruptions, topic changes, and unexpected requests—and runs baseline tests to uncover prompt gaps. After analyzing failure reports, developers update the system prompt and re-run tests; fixing a fee-waiver bug raised the pass rate from below 70% to the 90-95% target in one refinement. The tutorial emphasizes that prompts are source code requiring version control and automated testing for reliable voice AI agent behavior.


### [Conversations in the AI Era: Manchester Meetup Recap](https://yomu.fyi/post/conversations-in-the-ai-era-manchester-meetup-recap.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Ryan Britnell
- Published: Sep 23, 2026
- Type: Announcement

Twilio and Ciptex hosted the Conversations in the AI Era meetup in Manchester on September 3rd, 2026, drawing developers, tech leads, and founders from the local scene. Darragh O’Connor demonstrated using a SIP trunk to connect callers directly into a livestream, emphasizing solving the problem with the simplest tool. Matthew Duggan of Ciptex presented an architecture where AI and human agents share conversation state and tools, treating handoff as a change of ownership rather than a recovery path. Paul D’Ambra of PostHog discussed how cheap code generation made reviewing code the bottleneck, leading them to build AI review agents that substantially dropped their revert rate. The next meetup is scheduled for November 4th, 2026.


### [Collected, stored, and useless: The lifecycle of most customer data](https://yomu.fyi/post/collected-stored-and-useless-the-lifecycle-of-most-customer-data.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Jesse Sumrak
- Published: Sep 23, 2026
- Type: Problem & solution

The post examines the typical lifecycle of customer data in companies, revealing that most data is captured but never effectively used. A survey of 660 business leaders found that 48% struggle to connect customer data across channels, making it the top obstacle over budget or headcount. Data is often captured in volume but siloed across systems, duplicated into separate records for the same customer, and reliant on stale overnight batch updates. This leads to AI agents working with outdated profiles, causing 71% of consumers to abandon conversations when the AI fails to recognize them. The post proposes shortening the path between capture and use through real-time data synchronization, exemplified by Twilio’s Conversations and Conversation Memory products.


[Newer posts](https://yomu.fyi/company/twilio.md) · [Older posts](https://yomu.fyi/company/twilio/page/3.md)