
Scaling Success with AI Phone Agents for Infrastructure
Summary
AI phone agents are no more futuristic, they are here to help your business grow. But implementing them can create confusions if you are not clear of what you want. You have to make a decision on how to implement them and their infrastructure. Hence this blog will help you clear your confusions regarding AI phone agent infrastructure.
Introduction
AI phone agents are now everywhere. Each business is looking forward to gain it’s benefits and enhance every bit of their activity. It’s smart approach managing everything that’s repetitive. But how has these AI Phone Agent grown so smart to sound like humans and converse just like them.
All thanks goes to its infrastructure and evolving hardwares. A strong infrastructure accounts for plenty of benefits for a business. Hence it’s the prime consideration before making an investment.
Infrastructure consists of variety of tools that have to be setup before you deploy your AI call assistant. These tools, like hardwares might cost a lot. They also need to be updated periodically. So how to build an infrastructure? What are cost considerations? And what about security compliance? Let’s look into the infrastructure of AI phone agents in detail.
The rise of AI phone agents for businesses
The world of artificial intelligence has undergone an exceptional change and it has led to the development of AI phone agents. These are intelligent and completely automatic assistants that can handle every bit of your conversations and other tasks. From scheduling appointments to handling your customer care everything gets better with AI call assistants.
All you have to do is just feed the predefined scripts that help them respond in real-time just like human agents. Although automated phone systems have been around for years, they always had robotic and programmed menus. Hence it could lead to frustration in customers.
But phone agents these days have become starter enough to sound lively and can be capable of mimicking the voice of a human. Hence they can even sense emotions with certain precision. You can say that advancement in AI has unlocked a certain level of realism and efficiency.
But when you want to seek these benefits, it’s necessary that you build an infrastructure to support those agents. As these AI models grow smarter, the necessity of technology behind them grows more complex.
So why should companies prioritize getting a technical infrastructure that works faster and smarter? Let’s explore the infrastructure of AI phone agents and how they work.
Why is it better to use self-hosted AI phone agents?

Still not convinced why AI phone agents are a better choice? Let’s explore list of benefits:
1. Less latency
One of the most crucial considerations when you develop an AI virtual assistant is latency. And when it comes to AI phone agents, latency is the most important factor. When two people converse with each other the average time of response per person is 200ms.
Hence the average response time for a huge language model can vary somewhere from 500ms to 1 second. It might even depend on the context.
If we have a closer look at the AI model, it is divided into three portions:
- Translating the user’s spoken words into the text.
- Then it passes translated text through a model which generates responses.
- Third will translate the text response generated by the AI model into speech for the user.
- And the fourth one will decide where to go into the script of users.
Hence now you can understand that multiple cycles are involved in generating a response leading to higher latency and response times.
But at Botphonic AI we lay emphasis on reducing response time and latency through self-hosted infrastructure.
2. Better reliability
The main reason behind getting a self-hosted system AI phone agents for infrastructure is to have reliability. Hence if something slows down or stops working it’s in your own hands to fix the issues. You don’t have to wait for a longer time and talk to enterprises plenty of times to fix the issue.
Many people even overlook an ability to customize their own AI assistants for the quicker APIs that are popular these days. Most of them might be an almost match for their business but what about the smaller portion that doesn’t. It might cause an unmanageable situation for your business growth.
Hence your AI phone agents must possess multi-modal designs that can function effectively along your business. All of this will help you enhance customer service and provide a consistent user experience.
3. Budget friendly
What you pay initially for both hardware and time is your upfront cost that you will only gain after years of usage and growth in customer base. Hence if you think like old age CEOs or CTOs that should I invest ahead of the capacity for long term needs? The answer to this will depend on your personal needs and company.
Hence if you are just a startup company that can barely afford the salary of your team, then it’s a waste investing multi-dollar in AI phone agents infrastructure. It does not make sense to just invest for reliability and future needs.
But for the company that is sure to exist after two years, you can think of making an investment in infrastructure. Hence make decisions wisely before you develop a heavy infrastructure for your AI Call Assistant.
What are risks and considerations to be taken care of?

No one can guarantee if your investments would be beneficial or not. It’s on the choice that you make. There is a 20% chance of uncertainty for even big companies in the industry. Therefore, all factors must be taken into account.:
1. Implementation ease
These days plug and play solutions are readily available in the market that can be used instantly. Hence if you are willing to test the idea, gain a quick demo or develop an MVP, it is the best choice. Your API will be ready within a few minutes. Then you can start working, interacting and using it. Hence it is the fastest way to test instead of spending hours and days after it.
2. Shortcomings in technical expertise:
Before you begin with your AI phone agent infrastructure, check if the team has knowledge of building and managing infrastructure from scratch.
These days many developers use modern day ready to go cloud services where set up is not tough. But they lack experience and they fail at designing, developing and maintaining a custom infrastructure.
Hence if your team lacks this expertise you might lose your valuable time and money. In short, without knowledge your project could fail in delivering expected results.
3. Hardware development:
The technology behind these AI phone agents is developing rapidly. Hence what’s new today might grow outdated in a few years and all of these credit goes to Moore’s law.
Hence if you buy your own hardware now that costs a fortune and build an infrastructure, there are chances that it can grow outdated in 4-5 years.
In contrast if you employ cloud operators like Botphonic AI you can easily get access to the latest, newest and beta hardwares like GPUs and processors in the market. No need of reinvesting money for each new development.
What are security considerations for AI phone agent infrastructure?

For certain businesses security rules are not just important but they can be deal-breakers for how to develop and design and application. For certain industries like healthcare, finance, technology and more, rules and regulations are strict and mention where data can be sent and stored. Also they decide who can access and process them.
Your compliance team may reject the proposal if your infrastructure sends data to a not reliable external API. Hence in such a case getting your own infrastructure is a great call. Here you can manage everything from where data is stored to access and encryption. But the only problem is the compliance of various laws comes on you be it HIPAA, GDPR or more.
It can be time consuming task and might increase the overall costs in coming years. Hence it is totally on you to decide the best option for your business.
Conclusion
By now you might have a clear perception of benefits of using cloud based AI phone agents. Hence it’s clear why Botphonic AI leverages cloud based systems to deploy their AI software. You can kickstart your own AI customer support software within a few hours at lower costs.
When the long term investment of infrastructure comes into the picture the choice is clear for the companies that want to serve high quality while operating at lower costs. Botphonic AI aims at building an AI call assistant that keeps improving continuously with expanding customer base.