Voice AI is no longer just an experiment for large companies. AI agents can now conduct phone calls and ask questions, as well as qualify leads, schedule meetups, and escalate complex cases to human agents. But phone calls have a natural limitation. They work well when a customer needs to discuss something, but are much less suitable for information that they need to see or compare. Because of this, enterprise teams more and more often view voice AI as part of a broader customer communication workflow. After a call, a customer may need confirmation, a link, a choice, a reminder, or the ability to continue the conversation in a format that’s convenient for them. RCS effectively fills this gap in the interaction.
Where Voice AI Meets RCS
Voice remains a powerful channel when you need to quickly determine a person’s intent. But after a call, it may be inconvenient for a customer to remember an order number, a list of available plans, or the time of the next call. In such a situation, a message becomes a natural extension of the conversation, rather than yet another standalone channel. This is where RCS business messaging can transform follow-up communication into a more practical two-way process. Instead of a standard SMS, a company can use a branded profile, images, and rich cards, or buttons, suggested replies, and other interactive elements. In corporate scenarios, this also makes it possible to combine voice and text-based AI interactions within a single customer journey. In this scenario, voice helps qualify the customer’s need, while messages convey specific information or suggest the next step. This approach is particularly relevant in sales, insurance, and service operations, where several specific steps often need to be taken after the initial contact.
RCS solves the problem of inconveniently conveying information via voice
During a phone call, a customer might hear three or four options, but they’ll have to remember them. With RCS, a company can display these options directly in the chat. A rich card can contain images, text, and buttons for the next action, and multiple cards can be combined into a carousel. This is particularly useful in scenarios where a decision depends on a comparison. For enterprise teams, this is also important because RCS doesn’t require creating a separate app for each client. Messages arrive in the familiar messaging environment, and RCS availability has gradually expanded to the iPhone as well. Apple supports RCS on iOS 18 and later, provided the carrier supports it.
A Branded Channel Matters for Large Companies
In supported business scenarios, the user can see the company name, logo, and verification badge instead of an unfamiliar number. This helps the user understand exactly who initiated the conversation. For enterprise communications, this isn’t just a matter of design. Companies regularly send messages about orders, deliveries, payments, and other operational events. If a customer can immediately identify the brand, it’s easier for them to distinguish a legitimate communication from a random message. At the same time, RCS should not be viewed as an automatically secure channel in every scenario. Verified RCS business chats do not have end-to-end encryption. That’s why enterprise teams must separately assess data requirements, the provider, message processing methods, and user consent.
Voice AI and RCS: completing different stages of a single workflow
An AI agent can start with voice, quickly identify the customer’s need, and conclude the conversation with a specific action. Afterward, RCS can provide the customer with details that are better conveyed in text or visual format. In the telecom industry, this approach can work for upgrade offers. The voice agent gauges interest, while a message displays available plans and allows the user to proceed to the next step. Technically, this model is also becoming more accessible. Modern RCS platforms can forward incoming messages to backend systems and AI agents via APIs and webhooks. This opens up the possibility of integrating messaging into existing business processes.
The Importance of Control
Large companies cannot scale customer messaging as easily as small businesses.
The following factors must be considered:
- Consent,
- Opt-out,
- Specific market regulations,
- Interaction auditing,
- CRM integration,
- Data access control.
That is why, when choosing an RCS business messaging solution, an enterprise team should consider:
- APIs,
- Analytics,
- CRM integration,
- Fallback mechanisms,
- The ability to centrally manage the customer journey.
Google provides SMS/MMS fallback if an RCS message cannot be delivered to a specific device.
Analytics are also evolving. Instead of simply tracking delivery status, companies can now analyze read receipts, clicks, taps, and replies. This information can be used to assess whether a customer has taken the expected action.
Conclusion
Enterprise teams are adopting RCS business messaging alongside voice AI for the following reason. The more companies automate voice interactions, the more evident the need becomes for a channel that can continue the conversation in a visual and interactive format. Voice AI is well-suited for dialogue, qualification, and quickly identifying needs. RCS, in turn, is ideal for messaging, selection, confirmations, rich media, and follow-up actions. Together, they can build customer journeys where the customer doesn’t have to repeat info or start the process over after switching from one channel to another. That’s why, for enterprises today, the question is increasingly not “voice AI or RCS.” It’s more about where, within a single workflow, each of these channels creates the most practical value.
Photo by Catherine Breslin: Unsplash
Marcus Whitfield writes about developer tools, programming languages, and the software trends shaping how engineers build. Before joining DevX, he spent five years as a full-stack developer and two more running a small dev-tools newsletter that topped 10,000 subscribers.
