AI voice agents for customer support: how they work and how to choose
How AI voice agents handle customer support calls, what to look for, and how the top tools compare for Shopify and ecommerce brands in 2026.
Most tools sold as AI customer support are built for typing, not talking. When a shopper calls your store at 9pm with a question about a delayed order, a chat widget cannot pick up the phone. An AI voice agent can. This is the gap most ecommerce teams miss when they shop for support automation, and it is the reason phone calls still go to voicemail while the chatbot handles everything else.
An AI voice agent for customer support is software that answers (and can place) phone calls in a natural voice, understands what the caller wants, and resolves the request without a human agent. Unlike a chatbot, it works on the voice channel, so it handles the calls that shoppers make when they are frustrated, in a hurry, or about to abandon a purchase.
If you are asking what are the best AI voice agents for customer support, the answer depends on one distinction: whether you want a ready-made agent that answers the phone with your order data on day one, or a general-purpose platform you configure, contract, or build yourself. This guide explains how these agents work, compares the main options, and shows you how to choose.
What is an AI voice agent for customer support?
An AI voice agent is a program that talks to callers the way a trained human agent would. It listens using speech recognition, understands intent with a large language model, and replies in a natural synthetic voice, all in real time. The best ones do more than talk: they take actions during the call, like looking up an order, sending a text, or booking a return.
For customer support specifically, the value is 24/7 coverage and instant resolution. A shopper never waits on hold, and simple, repetitive questions get answered on the first ring. The most common of these is the WISMO call, short for "where is my order," which can be one of the highest-volume support topics for a growing store.
The key nuance for ecommerce is context. A generic voice agent can read a script, but a Shopify-native agent can pull the caller's real order, shipping status, and product details mid-conversation. That difference decides whether the call ends with a resolved customer or a frustrated one asking for a human.
The AI voice agents compared in this guide
Before comparing features and pricing, here is a quick overview of the six AI voice platforms covered in this guide.
Consio
Consio is an AI phone platform built for Shopify brands. Before answering a call, its AI voice agent can access the customer’s recent orders, linked Shopify profiles, product catalog, customer notes, tags, addresses, and recent SMS history.
During the conversation, it can answer order and product questions, text a live tracking link or the exact product variant, create a Shopify draft order, and transfer the caller when human help is needed.
Calls are automatically recorded, transcribed, summarized, and logged with dispositions and next steps, while integrations with Gorgias, Zendesk, Kustomer, Richpanel, and eDesk keep the full conversation inside the support team’s existing helpdesk.
Consio also includes business-hours routing, AI and keypad IVR, call analytics, conversion tracking, and attributed revenue, making it a ready-made phone support and sales platform rather than a voice API that merchants must build themselves.
Sierra
Sierra is an enterprise conversational AI platform that helps large companies create highly customized, branded customer service agents. Its agents can interact with customers across channels, understand complex requests, access connected business systems, and take actions such as updating an account, processing a request, or guiding a customer through a support workflow.
Rather than providing a standardized voice product that can be activated immediately, Sierra works with each company to design an agent around its brand, policies, data, and internal processes. This makes it a strong option for large enterprises that want a bespoke customer experience and have the budget, technical resources, and implementation time required for a broader AI transformation project.
For a growing Shopify store, however, connecting Sierra to live orders, products, returns, and customer profiles would typically require a more customized deployment.
PolyAI
PolyAI provides enterprise voice assistants designed for large contact centers handling high volumes of inbound customer calls. Its technology focuses on creating natural phone conversations that allow callers to speak freely rather than follow rigid keypad menus or predefined commands.
The platform can support complex customer service scenarios, multiple languages, call transfers, and integrations with existing contact center systems. PolyAI is particularly relevant for organizations in industries such as hospitality, financial services, telecommunications, and retail, where thousands of calls may need to be automated across several departments or locations.
Deployments are generally customized around the company’s existing infrastructure and support processes, making PolyAI better suited to large organizations with established contact center operations than ecommerce brands looking for a ready-made Shopify voice agent.
Regal
Regal is a customer engagement platform that combines AI voice agents, SMS, and tools for human calling teams. It is designed to help businesses manage both automated and agent-led conversations across the customer journey, including lead qualification, sales follow-up, appointment booking, retention campaigns, and customer support.
Regal is especially relevant for companies with large outbound calling programs that want AI agents and human representatives to work within the same system. Teams can use automation to contact and qualify customers before routing higher-value conversations to a human agent.
While Regal can be connected to external customer data and business systems through integrations, it is not built specifically around Shopify support workflows. Ecommerce brands would still need to configure how the agent accesses order information, products, customer history, and store-specific actions.
Retell AI
Retell AI is a developer platform for creating custom AI voice agents for inbound and outbound phone calls. It provides the technical infrastructure needed to manage telephony, speech recognition, voice generation, conversation flows, call transfers, and integrations with external systems.
Developers can define how the agent behaves, choose the models and voices it uses, connect it to APIs, and build custom actions for different support or sales scenarios. This flexibility makes Retell AI useful for technical teams that want to build a voice product around their own requirements rather than adopt a predefined solution.
However, it is an infrastructure platform rather than a complete ecommerce support application. A Shopify merchant would need to build the connection to orders, products, customers, tracking data, helpdesks, and analytics, as well as maintain the call logic and integration over time.
Bland AI
Bland AI is a programmable voice AI platform used to automate inbound and outbound phone conversations. It gives developers tools to configure prompts, call flows, phone numbers, transfers, actions, and integrations with external databases or applications.
Businesses can use it for a wide range of use cases, including lead qualification, appointment scheduling, customer notifications, surveys, sales outreach, and basic support automation. Its programmable approach provides significant control over how calls are handled and makes it possible to create highly specific workflows.
Like Retell AI, however, Bland AI supplies the building blocks rather than a complete Shopify customer support solution. Ecommerce teams must design the agent, connect it to their store and helpdesk, build the required actions, test edge cases, and maintain the system as their support processes change.
What are the best AI voice agents for customer support?
When people ask what are the best AI voice agents for customer support, they are usually comparing three very different categories of tool. The first is enterprise CX platforms built for large contact centers. The second is developer platforms that give engineers the pieces to build a voice agent from scratch. The third is an ecommerce-native agent that ships pre-connected to your store. All can hold a natural conversation, so the real question is how much building, budget, and integration each one demands.
The table below compares six well-known options across the factors that matter most for an ecommerce support call. Pricing reflects each vendor's publicly available rates. Enterprise and developer platforms that only quote custom or usage-based pricing on request are marked Custom.
Tool | What it is | Shopify-native | Pricing model | Best for |
|---|---|---|---|---|
AI phone platform for Shopify brands | Yes, reads live orders and products | Usage-based, $30 for 100 minutes, $60 for 400 minutes | Best for: Shopify brands that want a ready-made AI voice agent with live order context | |
Enterprise conversational AI for CX | No, custom build per brand | Outcome-based, reported around $1 to $2.50 per resolution | Best for: large enterprises wanting a bespoke branded agent | |
Enterprise voice assistant for contact centers | No, custom integration | Custom | Best for: large, multilingual contact centers | |
AI phone agent and outbound calling platform | No, via integrations | Usage-based, about $0.20 per minute | Best for: sales-heavy teams blending AI and human calling at scale | |
Developer platform to build voice agents | No | Custom | Best for: developer teams building a custom voice agent | |
Developer platform for programmable voice | No | Custom | Best for: developers wanting code-level control of calls |
The takeaway is clear: for Shopify brands, Consio is the most practical choice. Sierra and PolyAI are built for large enterprises, with bigger budgets and longer implementation cycles. Regal is stronger for outbound calling, while Retell AI and Bland AI require developers to build and maintain the Shopify integration, call logic, and infrastructure themselves.
Consio comes ready to use with live Shopify order, product, and customer data, so brands can launch an AI voice agent faster, resolve real support calls from day one, and pay based on usage rather than committing to an enterprise contract or custom development project.
How an AI voice agent handles a support call
The best way to judge these tools is to follow a single call from ring to resolution. Here is what autonomous call handling looks like when the agent is connected to your store.
First, the call is routed. A caller reaches an IVR menu, or with AI routing they simply say what they need and the system sends them to support, sales, or a VIP path. Business hours routing can send after-hours calls straight to the AI so nothing goes to voicemail.
Next, the agent identifies context. A Shopify-native agent matches the caller to their profile and pulls the relevant order, shipping status, and product details in real time. This is what lets it answer "where is my order" accurately instead of reading a generic tracking-page script.
Then it acts. During the call, Consio's agent can send an SMS or MMS with a live tracking link, a specific product link including the exact variant, or a payment link, all without a human touching the conversation. It can even create a draft order while the caller is still on the line, turning a support question into a sale.
Finally, the call is logged and summarized. Every conversation gets a recording, a turn-by-turn transcript, and an AI-generated summary, and the outcome is tagged with a disposition like issue resolved, warm lead, or spam. If your team uses a helpdesk, that summary can flow into Gorgias or Zendesk as an automatic ticket, so nothing is lost. This closes the loop that most standalone voice bots leave open.
How to choose an AI voice agent for customer support
Not every brand needs the same tool. Use these four criteria to match an AI voice agent to your customer support reality.
Deployment effort comes first. Enterprise platforms like Sierra and PolyAI deliver a custom-built agent, but expect a long implementation and a large contract. Developer platforms like Retell AI and Bland AI hand you the building blocks and expect your team to wire up telephony, logic, and integrations. Be honest about whether you have the time and engineers for a build.
Commerce context is the difference between a demo and a deflection. Ask whether the agent reads live Shopify data: orders, tracking, product variants, tags, and customer history. A voice agent that cannot see the order cannot resolve a WISMO call, so this is not a nice-to-have for ecommerce, and it is exactly what a general-purpose platform leaves you to build.
Action ability matters more than conversation quality. The best agents do things: send a tracking SMS, text a product link, create a draft order, or transfer with a full transcript. If the agent can only talk, your team still does the work after every call.
Measurement is the criterion most teams forget. You want to know which calls resolved an issue and which generated revenue. Look for revenue attribution and conversion analytics, not just call counts, so you can prove the phone channel pays for itself. Consio's analytics show attributed revenue, answer rate, and conversion at each stage.
FAQs
What are the best AI voice agents for customer support?
The best fit depends on your size and resources. For phone-first ecommerce support with live order context and no build, Consio is purpose-built for Shopify. For large enterprise contact centers, Sierra and PolyAI are common. For high-volume outbound, Regal is strong, and for teams that want to build their own agent, Retell AI and Bland AI offer developer control.
What is the difference between an AI voice agent and a chatbot?
A chatbot handles typed conversations on chat or email. An AI voice agent handles spoken phone calls in a natural voice and can complete tasks like sending an SMS or creating an order during the call. Many support platforms offer a chatbot but do not autonomously answer the phone.
Can an AI voice agent see my Shopify orders?
Only if it is Shopify-native or you build the integration yourself. Consio reads live orders, tracking, product variants, and customer history during the call out of the box. General-purpose platforms can reach the same data, but they require custom engineering to connect it.
How much does an AI voice agent cost?
Models vary widely. Enterprise platforms like Sierra and PolyAI use outcome-based or custom contracts, reported from around $150,000 per year. Developer platforms like Retell AI and Bland AI run from $0.07 to $0.09 per minute before add-ons. Consio uses usage-based pricing at $30 for 100 minutes, so you pay for talk time instead of minimums.
Does an AI voice agent work after hours?
No. It handles repetitive, high-volume calls like order status and simple returns around the clock, and it escalates the rest to a human with a full transcript. The goal is to free your team for the calls that need judgment, not to remove them.
Can it help with sales, not just support?
Yes. Because the agent sees the order context, it can text a product link, share a payment link, or create a draft order during a support call, and the same platform runs outbound recovery campaigns. That is how support calls turn into attributed revenue.
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