Illustration of RCS messaging features, including a tap icon, a smartphone, a play button, a message bubble, and an RCS label
RCS messaging—short for Rich Communication Services—is a messaging protocol that upgrades traditional SMS with features like read receipts, typing indicators, high-resolution media, and interactive buttons, all delivered through your customer’s default messaging app. In 2026, it’s the channel that businesses are building into their standard workflows.
Overview of RCS messaging

  • RCS (Rich Communication Services) is

Illustration of a phone, chat bubble, headset, and email icon connected in a loop, representing omnichannel customer service
Your customers don’t stick to a single channel. They might text you on Monday, email on Wednesday, and open a webchat on Friday, expecting you to answer each time. If your channels run separately, they’ll have to repeat their issue to multiple agents. Omnichannel customer service fixes that by linking every channel into one continuous

Illustration of shopping bag, storefront, sparkle, and message bubble icons representing conversational AI in retail
Your team spends countless hours responding to repetitive customer questions across an ever-expanding mix of support channels. At the same time, customers expect quick, personalized responses wherever they reach out, making it hard to keep up.
Conversational AI in retail uses natural language processing, machine learning, and generative AI to automate these customer interactions across

Illustration of a hand waving, headset, and the word “hello” in Spanish and Chinese, representing multilingual customer support
When your team receives a message in a language they don’t speak, they have to switch between translation tools or ask for help, slowing down response times. Serving customers in their own language keeps support fast and personal, even as your customer base grows.
Multilingual customer support answers customers in their preferred language across the

Chatbot vs. conversational AI illustration with a chat bubble, a robot, and an AI sparkle
Say your customer texts at 9 PM asking to change a delivery address. A rule-based chatbot would send them a menu of options and hope one fits. A conversational AI tool would read the message, pull up their order, and handle the change without human help. The experience looks completely different on your customer’s end,

AI data enrichment illustration with an AI sparkle, a folder, and an enriched data record
Your sales rep opens a lead record, finding a name and email address but nothing about the company, their role, or the context around what the person actually needs. So your rep opens LinkedIn in another tab, cross-references the company website, guesses at the job title, and types it all in manually. Multiply that by

Illustration comparing RCS and SMS messaging with tap, media, and phone icons
Think about the last time a customer texted to confirm an appointment, check on an order, or respond to a promotion. That conversation almost certainly ran on SMS, which means it was limited to plain text, with a link if you needed them to take action. Now, RCS messaging support is giving businesses the ability


When your customer’s message lands in one team member’s inbox and stays there until they get to it, response times slip and small backlogs turn into ignored conversations. With a shared inbox, your whole team can manage incoming messages from one place, instead of separate individual inboxes where they can slip through the cracks. Conversations

Conversational AI connecting business messaging channels including chat, email, phone, and web.
Conversational AI is technology that understands human language and responds to it naturally. It uses natural language processing (NLP) and machine learning to interpret what a person means, hold a genuine two-way conversation, and improve with every interaction.
Picture a clinic’s front desk on a Monday morning: 40 texts to reschedule appointments and a weekend

AI solution for healthcare operations hero
Administrative work is eating into the time healthcare teams have for patients. Tasks like scheduling, documentation, billing follow-ups, and prior authorizations are an everyday part of most medical practices, but they don’t always need a person managing every step.
AI in healthcare operations has made it possible to automate many of these workflows, freeing staff