Create an AI Voice Agent
You don't need a big engineering team or weeks of work to make an AI voice agent anymore. Kaily AI lets businesses of any size create, customize, and launch a voice agent in just a few hours, without writing code or setting up complicated systems. You can make your first agent today with Kaily AI Voice Agent for free.
Create an AI Voice Agent
You don't need a big engineering team or weeks of work to make an AI voice agent anymore. Kaily AI lets businesses of any size create, customize, and launch a voice agent in just a few hours, without writing code or setting up complicated systems. You can make your first agent today with Kaily AI Voice Agent for free.
How to build an AI Voice Agent?
Analysis of Needs
Skip the coding and instead think about why you want an AI voice agent. Then, draw a map of the whole user journey. Think about what makes people come to your agent. By visualising, you can change the flow and tone of conversations to make interactions feel more natural.
Designing the conversational experience and improving voice output
This is where you decide how the agent talks and acts. Plan how conversations should go, how to answer common questions and what to do when things go wrong. When agents don't understand what users are saying, it makes them angry. Planning for these frustrating situations is what sets a good agent apart.
Choose the right technology stack
The core part of the AI voice agent development process starts with Data gathering, wherein you need to collect large amounts of data from voice recordings and text conversations from existing customer interactions. After that, link your agent to your CRM and databases that your business uses.
Testing, deployment and Maintenance
Before the launch, the agent undergoes an extensive amount of testing, like A/B testing, user testing and security checks. Once your AI voice agent passes all the tests, put it into production and keep an eye on performance metrics.
What is an AI Voice Agent?
A voice agent is an AI-powered assistant that can engage with people, follow their instructions in real time using a local or cloud-based LLM, and conduct natural conversation at conversational speed.
What makes modern voice agents different is their end-to-end capability. They listen to what you say, understand what you want, and respond with their own voice in real time. These agents can handle complex conversations, such as making appointments and processing transactions, through natural dialogue, and remember context from earlier exchanges while answering questions, just like a human would.
Why is there a need for an AI Voice Agent?
Here are the main reasons why the demand for AI Voice agents is rising and why businesses are shifting towards them:
Traditional voice agents are limited in scope
Voice assistants like Siri and Alexa are excellent for basic personal tasks that you do every day. But they can't always give correct answers to difficult questions, provide real-time information, or handle interruptions from users.
Can't handle dynamic conversations
Basic voice assistants often don't understand or keep going when users interrupt, change the subject or ask follow-up questions.
Don't have access to a lot of information
Many assistants can't get information from web data or specialised knowledge, resulting in inaccurate answers. Try asking Siri what the best things are to do with kids in a particular city or area. It won't give you the correct answer because it can't use web search tools. If you ask the same question on a device that supports Apple Intelligence, ChatGPT will take over. Voice agents are here to fix these problems just like in-app chat features.
Not made for business use
Traditional voice assistants are not made to handle customer questions, booking requests, troubleshooting or business workflows. Generic assistants can't do what businesses need voice agents to do, such as integrate with their system, follow specific steps and provide reliable support at a scale level.
Who needs an AI Voice Agent?
Any business that handles a lot of customer interactions or does the same tasks over and over again needs AI voice agents. Voice agents speed up the process and make it more consistent. AI Voice Agent can answer questions, set up appointments, send reminders or help customers with a timely response, even outside of business hours.
- Businesses that receive large call volumes and need to cut down on wait times and speed up responses.
- Teams that are handling repetitive queries over and over, such as order status, appointment schedule or account information.
- Businesses that operate in more than one language need customer support in more than one language.
- Industries with compliance needs, like finance, healthcare, and insurance, require accuracy and traceability.
- Startups and teams that are growing and need automation to grow without hiring more people.
Sign up for free today and create your AI voice agent in minutes.
Key features & benefits of Kaily AI Voice Agent
Kaily AI is designed to help businesses automate their voice interactions quickly, intelligently and on a large scale. These are the things that make it stand out.
Natural and Human-Like Conversations
Advanced ASR, NLP and TTS make conversations sound natural, realistic and context-aware
Seamless Integrations with Business Systems
Integrations with CRMs, WhatsApp, call systems, databases and scheduling tools make the automation process smooth.
Multilingual Support
Support in multiple languages and accents so that customers in different areas can get assistance
Scalable Automation for Inbound and Outbound Calls
Automation can be scaled up or down to handle both incoming and outgoing calls, which reduces manual workload and frees people up to focus on complex issues.
Kaily AI Voice Agent use cases across industries
Automates customer support
Handles calls without wait times, resolves complex issues such as network troubleshooting through diagnostics, and returns processing. Telecom companies use voice agents to manage high volumes of customer interactions. It can also handle routine queries related to data usage, recharge, and payment status without requiring human intervention.
Healthcare Coordination
From Hospitals to clinics, they use AI voice agents to schedule an appointment, interact with patients for monitoring symptoms and support pre-visit questionnaires to route or flag urgent cases.
Banking and Financial Services
AI voice agents support financial institutions while at the same time ensuring compliance and security. It handles repetitive service needs such as delivering real-time balance, EMI details, transaction history and more. It also assists customers in understanding banking products and policies, and in processing their applications.
Hospitality and Travel industry
Airlines and hotels use AI voice agents to provide quick multilingual assistance for both routine and dynamic customer needs. It can also help with booking aid, such as managing hotel reservations and airline check-ins. It helps to improve customer experience by sharing real-time updates on bookings, flight schedules, and delays.
E-commerce & Retail Assistance
AI voice agents help online stores with questions about orders, tracking shipments, handling return or refund requests and guiding customers through product recommendations. They also help in reducing card abandonment cases by providing real-time support during checkout or payment issues.
Logistics and Delivery Operations
Voice agents help logistics companies automate delivery confirmations, share live tracking updates, coordinate with drivers and handle requests to reschedule delivery time. They also help with warehouse operations by giving information about inventory, shipping schedules and operational problems.
Best practices to build a high-performing AI Voice Agent
It's not just about the technology when it comes to developing an intelligent AI voice agent. You also need to know what users want, design conversations better and keep improving the system over time. Taking your time to think things through helps you make a voice agent that seems natural, helpful and trustworthy. Follow these best practices:
- Find high-value use cases like FAQs, scheduling, reminders or order support
- Know how your customers feel, what makes them tick and what questions they might have at each stage
- Keep responses simple, warm and consistent with your brand voice
- To catch issues early, use A/B testing, user testing, and security checks
- Look at logs, keep track of performance metrics and retrain models based on fundamental interactions.
Build an AI voice agent that your customers love to come back to. Create an AI voice agent that impresses your customers and does the heavy work for you.
The future of AI Voice Agent
In a very short period of time, AI Voice agents have come a long way. The scripted interactions of the past have now evolved into conversations that are smooth and actually solve problems. And the pace of this progress isn't slowing down. With new updates coming out very often, AI models are becoming more accurate, intuitive and better at understanding human intent. This is precisely why businesses across industries are adopting them in their own line of work.
If you are exploring an AI Voice Agent for the first time, it is suggested to start small. Focus on high-value tasks where voice interactions can significantly help you reduce workload. This allows your team to understand what Voice agents can or can't do. It is essential to see the voice agents as partners that can improve human efficiency and not replace it. When created thoughtfully, it can smoothly handle repetitive queries and free up people to focus on complex tasks that need empathy or creativity.
The next era of voice agents isn't hype; it is already here. It is the perfect time to experiment with advanced speed recognition and explore how it can streamline operations and improve customer support.
Frequently Asked Questions
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What is an AI Voice Agent?
An AI voice agent is a more advanced type of conversational AI system that uses speech recognition and natural language processing (NLP) to engage with customers. It automates tasks such as answering questions, making appointments and providing help. It can understand intent and can respond based on context, which is different from traditional IVR systems. AI voice agents are available for interaction around the clock, thus improving accessibility and increasing efficiency.
How does an AI Voice Agent work?
AI voice agents convert spoken words into text using Automatic Speech Recognition (ASR). The text is interpreted through Natural Language Processing (NLP) to figure out what the user wants and come up with a suitable answer. AI voice agents use Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to provide accurate answers that are contextually relevant. Finally, text-to-speech (TTS) technology changes the text back into natural-sounding speech.
Can an AI Voice Agent replace humans completely?
Yes and no. It cannot replace humans entirely. AI voice agents excel at answering FAQs, fetching data, and handling simple enquiries such as order status checks, appointment scheduling, and account balances. In fact, it is already replacing human call centre reps due to its ability to work around the clock without breaks and can handle multiple calls at once. However, in some cases where the given requests require judgment, empathy, human call centre agents are still irreplaceable.
What languages can AI Voice Agents support
Most modern AI agents can handle widely spoken languages such as English, Hindi, Spanish, French, Arabic and others. Some of the advanced systems are even equipped to switch languages in mid-conversation, can understand regional dialects and respond in the customer's preferred language without sounding forced. Kaily AI performs very well, being fluent in 90+ global languages (including regional dialects)
Do I need coding to create an AI Voice Agent?
Many modern platforms like Kaily allow you to create and deploy AI voice agents without having to write code. These no-code tools come with builders that you can drag and drop, pre-trained models and ready-made templates. If you want to customise or integrate with your internal systems, you may need some technical help or assistance from a developer.
Where can AI Voice Agents be used?
AI voice agents can help with many tasks across different industries, such as customer support, scheduling appointments, making reservations, qualifying leads, sending delivery updates, reminding people to pay and more.
What are the benefits of using an AI Voice Agent?
AI voice agents can be used in customer service to handle both inbound and outbound calls. Healthcare providers can use them to schedule and automate appointments. In the e-commerce industry, it can be used to track orders, generate product suggestions, and provide sales support. In the finance and banking industry, AI voice agents can help customers check account balances, pre-screen loan applicants, etc.
Can an AI Voice Agent integrate with CRM, WhatsApp, or call systems?
s. Most AI voice agents work with CRMs like Salesforce, HubSpot or Zoho to get or update customer information while you're on the phone. They can also connect to call centre software, SIP/VoIP systems, WhatsApp and phone providers. These integrations help automate tasks such as creating tickets, updating records and sending follow-up messages.
Are AI Voice Agent conversations secure?
AI voice agents use standard safety protocols like encryption, tokenisation and regulations like GDPR or SOC-2. Sensitive information, such as personal details or transaction history, is handled safely and stored in accordance with the company's data policies.
How accurate are AI Voice Agents in understanding accents?
Accuracy has improved drastically due to advanced ASR and LLM-powered models, so much so that it can accurately understand different accents and regional pronunciations. However, the accuracy may change depending on the noise in the background, the quality of the call and how well the model was trained.
