Let your team focus on what they do best, while AI-powered bots within your app handle the rest—automating calls, scheduling meetings, resolving queries, and directing potential clients to the respective professionals.
Your app is often the customer's first point of contact, the first thing they notice, and your first chance to connect, making AI-powered search and assistants the heart of mobile app development.
These voice agents understand, personalize, and follow up just like a regular employee, but with 24/7 availability. And with the advancements in AI voice technology, businesses are opting for the smarter route.
But is it really difficult to launch your own AI voice app? Not necessarily. In this blog, we’ll understand the steps to build your own AI voice app.
So whether you’re just beginning to develop voice assistant app or upgrading the existing one, here’s a guide you shouldn’t miss.
Why Does Your Enterprise Need an AI Voice App?
In a fast-paced digital environment, user experience relies on effortless app navigation. If your app doesn’t solve the user's purpose immediately, they will switch.
It doesn’t matter how appealing your app is and what it stands for; at the end of the day, the solutions need to be quick.
Which brings us to the next question.
What’s the Purpose of an AI Voice App?
AI voice technology is shifting the narrative of human-machine collaboration. According to McKinsey, we’re entering a new phase where interaction with AI models will demand human-like interactions, multimodal inputs, and context-based insights.
And here are the top reasons why AI voice app development is the future:
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Multitasking Abilities
Voice apps enable their users to multitask. So whether your customers are scheduling a meeting or your employees are following up on a lead, with in-app voice control, the results are instant.
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Cross Functional
AI-powered voice apps eliminate routine tasks within the enterprise. They can manage schedules, update operations, and alter deadlines.
Beyond internal workflows, these apps also handle tasks like customer support, client engagement, and lead qualification.
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Accessible and Inclusive
AI voice apps function on a hands-free approach. It enables user inclusivity by allowing multilingual support and voice sentiment analysis.
While traditional apps fall short in terms of speed and accessibility, AI voice assistants provide enterprises with immediate access to workplace tools.
Want to know why voice app development is shaping the future of tech? Check out our blog on why voice app development is the future.
Step-By-Step Guide To Launch Your Own AI Voice App
Launching your own AI-powered solutions can feel overwhelming without a clear, accurate guide to simplify the process.
Leveraging the right tools and technology will allow you to build scalable solutions from day one.
So, here’s a smart guide to launch AI voice assistant:
Step 1: Define the Scope of the App
First things first, identify the purpose of your AI voice app. Are you solving a core business problem or elevating customer experience?
In this step, there are two points to keep in mind:
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Start with a single use case: Your AI voice app should address one issue at a time to prove its market-readiness.
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Expand gradually: Once your voice app successfully solves a single problem, expand it to handle complex tasks and multiple users.
Clearly defining your app’s scope is the first step towards meeting your business goals.
Step 2: Pick Your Technology Stack
To match the scope of your app, pick a suitable technology stack. For uncomplicated tasks, you can choose voice bots, whereas for fully-featured voice apps that can carry out intricate functions, choose voice AI platforms or custom-built voice assistants.
Based on the complexity of your use case, select a suitable AI voice app development partner who can understand your business vision.
Step 3: Determine the Flow of the App
This step determines the performance of the voice app. Here, we need to address the steps to navigate user intents, dialog flow, and backend integration to ensure accurate interactions.
Here we design the conversational flow of the voice app. This flow should answer the questions:
How will the app respond to context-specific queries?
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What paths will the conversation follow based on user intent?
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How will errors, fallback responses, or misunderstandings be handled?
By acknowledging these issues, we move to the next step of the process.
Step 4: Train Your AI Model
By now, we are aware of how the model will function and what path it will follow. It’s time for the fundamental part of the process, training the AI app to ensure it can understand user inputs and respond in real-time.
Here, we need to:
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Use stored data and past customer interactions to obtain valuable insights
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Prepare the voice AI model to differentiate between minor alterations in user input
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Verify that your voice AI agent can interpret variations in speech
Step 5: Test, Refine, and Launch
The final step of the process is to rigorously test your voice AI software to resolve any discrepancies. Your testing should check the accuracy, speed, and clarity of the voice agent.
Gather user inputs and feedback, identify and address any functional gaps, and make necessary refinements. After developing and testing your voice solution with the help of the best AI voice apps development services, proceed to launch it.
What are the Common Mistakes To Avoid When Launching Your Voice AI App?
By following the above steps, top companies like IBM have transformed how their business manages workflows. IBM Ask Hr AI agent tool has handled over 10M+ employee interactions, and 94% of those inquiries were resolved instantly.
For a successful voice agent launch, it's essential to be aware of the common mistakes that can hinder your AI voice app development process.
Here are the mistakes to avoid:
1. Overlooking Data Security
The healthcare and banking sectors utilize voice agents to reduce routine errors for risk management. Robust data security decreases the likelihood of breaches or unauthorized access by storing and processing data within secure environments.
2. Neglecting Context Awareness
The one-size-fits-all interactions fail to meet modern customer expectations. A well-performing voice app demands context awareness. This personalization allows your AI voice assistant to create experiences that resonate with individual users.
3. Launching Without Refinement
The work doesn’t end until the app is refined to get the best results. Prepare your app for emerging technologies like voice sentiment analysis and voice avatars.
Build AI Voice App With Infutrix
In the healthcare, education, and hospitality industries, modern startups are leveraging AI solutions to attract funding by offering hyper-personalized experiences.
By following the best practices and partnering with a custom AI voice app development company, startups lay the groundwork for a voice solution that addresses a real-world problem.
At Infutrix, we bring the expertise and tools to turn your vision into a fully functional voice application. Ready to bring your voice AI app to life?
Hire AI voice app developers at Infutrix and turn your idea into an experience.
FAQs(Frequently asked questions)
1. How to build an AI voice agent?
To build an AI voice agent, you’ll need a knowledge/data base (also known as a Large Language Model) from which specific information can be extracted, followed by designated tools that correspond with the task your AI voice agent is designed to fulfill (appointment booking, resolving customer queries).
Finally, design the conversational flow, integrate it within your system, test and refine, then launch.
2. How to create a monetizable AI voice?
Creating a monetizable AI voice means developing AI-generated voice content that attracts revenue through ads, sponsorships, or other strategies.
It’s necessary to ensure content quality and avoid any impersonation or misleading information, and flag AI-generated voices when required. Additionally, consider using affiliate marketing, paid sponsorships, or selling digital products.
3. How do you add your own voice as an AI's voice?
To use your own voice as an AI’s voice, you need high-quality audio recordings, along with their text transcriptions. For a professional custom voice, the data should be diverse, clean, and free of noise and background music to ensure human-like output.
