How AI Chatbot Integration Can Increase ROI for Your Business

The global chatbot market size was estimated at 7.6 billion US dollars in 2024 and keeps growing, according to the latest market analysis reports. Frankly, this is not surprising in the context of the latest news in artificial intelligence.

Still, this doesn’t explain how AI chatbot integration can help your business achieve better results and increase ROI. To answer that, we have to start with the basics.

There is a crucial difference between artificial intelligence and chatbots: the latter are relatively simple software solutions based on user chatting. At the same time, AI is a sophisticated and complex software that requires a lot of resources and skills to operate. 

Nevertheless, both AI and chatbot integration share an important feature: they are operated via chatting. Of course, many examples of voice-operated AI or other types of UI solutions for artificial intelligence exist. However, companies must also integrate speech-to-text software like Whisper to enable voice interface. 

Fortunately, modern technologies have made conversational AI integration affordable and easy. Thus, when talking about chatbots, we will mean AI-driven solutions.

How AI Chatbots Maximize Efficiency & Cost Savings

So, how can AI chatbot integration help you improve customer engagement, business efficiency and reduce operational costs? Long story short, here is the list of the most vital reasons to integrate them into your custom website:

• 24/7 support
• Handling high volumes of inquiries
• Automating tasks
• Personalized customer interactions
• Cost reduction and resource optimization 

24/7 Support

Unlike humans, software-driven solutions can work constantly. 

Therefore, businesses that use chatbots in their business logic can benefit by significantly scaling their services and making them available 24/7. The most obvious examples are streamlined customer support services, better customer experience, and other related business operations like answering frequently asked questions.

Besides enabling services for a whole day without interruptions, companies can avoid human factors and related mistakes when integrating AI. This might seem like an insufficient advantage at first. However, this can also help boost ROI by saving costs on working hours and preventing human errors in the future. 

Handling High Volumes of Inquiries

Another reason to adopt generative AI into your custom website or any other software solution is the power of AI to handle high volumes of inquiries. 

This includes many sorts of data, starting with processing users’ requests and questions, as well as mining and analyzing raw data for further processing and sorting it out. For instance, to increase customer engagement and marketing campaigns.

Software-based solutions show much better results related to data analysis, are much more efficient and faster than humans, and help maximize ROI. They can quickly process a few inquiries simultaneously, while employees can handle one task at a time. 

So, thanks to the impact of AI, businesses can significantly boost their speed of processing data inputs or other inquiries, positively impacting overall business efficiency and revenue growth. Besides, such solutions are much more resistant to stress, even in cases when volumes of data scale. 

Automating Tasks

AI is revolutionizing the process automation field.

As we said before, software solutions with AI algorithms under the hood show excellent data processing and analysis results and can work continuously. Yet, they also offer a unique feature: they can be trained to perform specific business processes independently.

Such a functional combination drives businesses to integrate AI strategy for process automation. Implementing AI allows for streamlining manual and repetitive operations such as answering questions, analyzing data, looking for patterns and customer needs, etc. As a result, employees can prioritize tasks and deal with more complex, urgent, or important tasks.

So, companies can save costs and efforts on more basic services by automating them while maintaining high-efficiency results. Moreover, thanks to handling high volumes of inquiries and data, AI boosts the efficiency and speed of low-level or repetitive tasks, performing more operations for the same period. 

For example, various AI agents for customer support services can process and interact with a few users simultaneously, while employees usually deal with 1-2 customers at a time.

Personalized Customer Interactions

AI business integration is also a great way to improve the personalization of proposed services.

If you have tried ChatGPT or its alternatives, you should know that you can personalize their behavior, making them answer in a certain way. A business can do the same when integrating such solutions.

Long story short, AI chatbot integration can be adjusted and modified to perform or answer in a specific manner, depending on your business needs or preferences.

However, you will need a prompt engineer or other specialist familiar with such technologies to achieve this. These professionals set commands for chatbots to understand how to act and answer in different scenarios.

You can also let users decide how to set up their interactions. However, such a choice can become an issue if they figure out how to prompt a jailbreak for the system. The best way to avoid potential risks and ensure the quality and security of interactions with virtual assistants is to choose team extension services from a reliable software development company familiar with such technologies.

The simplest way to give your customers a personalized approach is to train your automation solution about your business niche and industry, their specifics, corporate culture, or marketing strategies. 

Cost Reduction and Return on Investment

Finally, AI chatbot integration is an excellent solution to reduce expenses, optimize spending, relocate resources, etc. 

Such software offers multiple use cases and purposes, as well as a rich toolset for different tasks. Process automation, advanced data analytics, 24/7 access, and overall personalization of product recommendations or system customization make such integration an excellent instrument for achieving outstanding results in any industry or business sector. 

Yet, such a “helping hand” also helps to save costs or, at least, relocate resources to more complex or prioritized operations. Besides, unlike a full-fledged custom software development service, only a few developers can deal with implementing a chatbot quickly. All you need is a team of 1-2 dedicated software engineers with some experience in AI.

So, how to integrate chatbot in website or any other software solution? Let’s briefly examine such a process step by step.

The AI Chatbot Integration Process

As mentioned before, artificial intelligence and other related product creation are very complex and demanding. Fortunately, AI-powered chatbots integrations are not as hard if we discuss integrating an existing AI solution.

For illustration, one of the most famous and popular modern examples, ChatGPT, is an open-source product. This means everyone has free access to its features and can easily integrate this model into their software app.

In other words, you don’t need to design and develop your AI solution from scratch. Instead, you can find an API option and use it for your needs.

In a nutshell, the process of leveraging AI consists of a few steps:

• Assessing Business Requirements
• Choosing the Right AI Chatbot Solution
• Integrating the Chatbot with Business Systems
• Training and Customization
• Testing and Deployment

Assessing Business Requirements

Before you integrate chatbot, you must check whether it meets your business requirements and expectations.

Despite all the features and benefits such software solutions bring, AI chatbots can help but still can’t handle all the tasks. Therefore, you should clarify what exactly you want it to do and check whether this software can perform such tasks.

For instance, it can streamline processes like customer support or data analysis. However, you still can’t leave it alone: to ensure everything works fine, you will need a supervisor-employee to check the performance and accuracy of AI solutions. Still, it helps to reduce the team from a few people to a single dedicated employee.

Without assessing and evaluating your business needs and goals, you shouldn’t start any software development project, even if it is not as difficult a task as chatbot API integration. For example, AI integration can bring security concerns or threats despite the overall simplicity. So, you should always assess your needs and expectations first.

Choosing the Right AI Chatbot Solution

Another step is choosing the right AI chatbot integration. Long story short, you will always have at least two core solutions:

• Integrating ready-made chatbots
• Maintaining custom chatbot development

Clearly, both approaches include using existing AI models, not designing and developing new artificial intelligence from scratch, because it is too complex and a resource-intensive task. At the same time, even the most sophisticated and scalable chatbot solutions are much easier and faster to build than AI. 

Judging from our experience, custom chatbot development is a much preferable choice that gives more flexibility and options to choose from while developing. 

Off-the-Shelf vs. Custom Chatbot Development

When choosing between off-the-shelf chatbots or maintaining custom chatbot development services, we should understand the core benefits of each solution.

Ready-made chatbots are predetermined and can be easily integrated into your business. The main challenge regarding such a choice is finding the software that meets your requirements and expectations. Most such solutions can’t be customized or changed in the future, which makes you consider your integration carefully.

At the same time, custom chatbot development is an excellent choice when you can spend some time and resources designing and creating a tailored solution that can be adjusted and changed in the future. As a result, you will get more flexible and scalable software that can be integrated or connected to other emerging software products like new AI models, CRMs, or any other management systems.

Selecting an AI Technology API

If you eventually choose to integrate a ready-made chatbot, you must spend some time searching for the most suitable API integration. Frankly speaking, most modern AI models already work as chatbots, making it easier to skip the coding stage and integrate a full-fledged chatbot adoption into your product.

Nevertheless, you must readjust your IT infrastructure to provide all planned features and services, switching to a more microservices-like architecture. Among the most popular modern AI chatting bot integrations, we can name different variations of ChatGPT, Gemini, Copilot, and others. 

Integrating the Chatbot with Business Systems

After choosing the most suited approach, whether a ready-made integration or custom chatbot development, you should also integrate it into your business.

Once again, the implementation steps vary, depending on your chosen approach. One of the core benefits of ready-made chatbots is their simple and fast implementation. Basically, you only need to integrate an API of the selected product and slightly correct it.

Alternatively, if you decide to maintain your custom chatbot development, you must perform more coding when embodying and upscaling your chatbot. For example, you can use existing Natural Language Processing models and train them according to your needs. To do so, you must “feed” these models with chosen data, explaining what and how you want from the AI. 

The second case is more complicated yet shows much more accurate and satisfying results. Besides, it allows you to skip the next stage - training and customization. 

Training and Customization

This stage will be mainly relevant to ready-made AI chatbot integration. When choosing SaaS and off-the-shelf software, you primarily integrate a “raw” version of AI-driven chatbots. They can perform tasks already, yet to achieve better results, you still have to train and adjust them. 

This is especially important if you expect the AI chatbot to perform some specific or niche tasks and operations. Besides, tailored AI shows a much higher user experience, increasing overall service satisfaction.

Off-the-shelf AI chatbot integration training and customization is similar to any other AI customization: you have to “feed” data and explain what your expectations are from a chatbot. However, many modern models like ChatGPT can be trained with little or no coding. Instead, you must use prompt engineering, which is commonly available in-app (chatting with AI).

Testing and Deployment

Finally, as with any other software, you must ensure it works correctly after training your AI chatbot integration. To rephrase, you must test your software solution before going live.

Otherwise, with no previous testing and bug hunting, you will always face negative feedback and take many unnecessary risks. Apart from defining and eliminating various errors and mistakes, we highly recommend testing the overall logic of AI chatbot integration. 

Besides, leave notices for chatbot users that the software is still under development so they can contact your employees for more details if something seems odd. This can help avoid conflicts and potential lawsuits if the chatbot makes misleading assumptions. 

Industries Benefiting from AI Chatbots Integration

Another reason to integrate chatbot into your custom website or software application is its flexibility. To simplify, AI chatbot integration can be trained and customized to meet some industry or niche specifics. Many successful cases have involved chatbots in logistics, management, engineering, etc. However, the most significant and well-known role AI chatbot integrations played in:

• E-Commerce
• Education
• Healthcare
• Real Estate
• Banking and Finance

Moreover, such solutions are used in various industries to serve different purposes.

E-Commerce

Mostly, e-commerce companies adopt AI-based chatbots to boost their customer support services.

Therefore, businesses can handle many more requests and customer interactions at a cheaper and more efficient rate. Additionally, such process automation is a relatively easy and quick task to do. 

Besides automated customer support services, AI chatbot integrations can be used for content personalization, deep customer behavior analysis, fraud detection, etc. Nevertheless, all these “extra” features and services require more effort, time, and resources, while customer support automation requires fast and effortless AI training. 

Another advantage of custom chatbot development is the possibility of scaling its functionality, i.e., using the same model for multiple tasks simultaneously. Still, such development will require an experienced team and time.

Education

At the same time, AI chatbot integrations in the EdTech industry are commonly used as full-fledged assistants and valuable tools for advanced adaptive learning approaches.

On the one hand, modern models, even in their basic versions, with no extra adjustments or training, can easily handle assistance in any field of study. Nevertheless, we still highly recommend training your educational AI to ensure it suggests correct information. 

The emergence of AI has already impacted not only educational platforms but the whole industry at once: students use ChatGPT to do their homework or learn new subjects outside the class, while teachers and tutors use such solutions to grade their students and check if their students used AI chatbot services to write their homework.

Healthcare

AI chatbot integration in healthcare is usually used as a virtual assistant, capable of answering questions and supporting management processes like scheduling and planning the next doctor visit.

As a matter of fact, AI chatbots for healthcare can be used for much more complex and complicated tasks that can’t be done even by specialists. For example, news about a new AI that can diagnose cancer with an astonishing 94% accuracy! Nonetheless, despite the variety of new-era AI tools for analyzing, such tools are still being tested and can’t be left unattended.

So, at the moment, AI integrations in healthcare are usually used as additional management instruments or a fast way to find or check some information. Yet, in just a few years, we will see the first steps in the full-fledged interaction of such software solutions for patient treatment and disease diagnosis. 

Real Estate

The real estate industry is also a popular niche for AI implementation. In addition to the previously mentioned management and customer support use cases, this field shows new ways to utilize AI. For instance, chatbot integration with CRM systems is widespread in the property business.

Such a combination uses the possibility of handling high volumes of data, making it possible to predict potential changes in the market or simply prevent risks, or gather information about tenants/landlords to organize it and rate each side of the future contract.

Moreover, some companies already use such tools for advanced digital documentation management and analysis. For instance, one of our latest cases, LockUp, makes a step toward the complete digitalization of real estate processes, including the possibility of using advanced algorithms to achieve even better results.

Banking and Finance

Lastly, the FinTech sphere, especially banking and finance, uses the same AI features for risk assessment, fraud prevention, and market analysis.

Long story short, modern AI chatbot integrations like ChatGPT, even in their basic versions, already show excellent results in math and a summary of “fed” data. Obviously, you shouldn’t blindly follow its lead and still require the assistance of financial specialists to check the correctness of AI-based market insights.

Anyhow, such tools help significantly speed up the process of analyzing data arrays and trying to define templates or other change markers. Frankly speaking, no FinTech company will explain in detail how they customize and utilize their AI solutions. Yet, this industry is one of the fastest in adopting new-era technologies, including AI.

Examples of AI Chatbot Success Stories at Incora

To be honest, our Incora team very patiently and closely monitors the AI field, examining and learning about each new case or change in the field of AI. However, we are not simply bystanders. Instead, we have AI enthusiasts on board who have already taken part in a few projects related to artificial intelligence solutions.

For illustration, among our latest case studies, you can find solutions like BlackBird (FinTech), VoiceOrder (e-Commerce), as well as a few NDA AI projects for real estate and EdTech industries.

Thus, if you don’t know where to start or want to discuss your ideas for AI chatbot integration and development - drop us a line, and we will gladly guide you into the world of new-era software solutions!