Select Page

AI Business Assistants: Types, Key Features, & How to Build One from Scratch

by | December 29, 2023

AI assistants are becoming an essential part of business operations, from customer service to offering everyday team support. Tasks that used to be tedious and time-consuming can now be performed accurately with the help of an AI business assistant, and many professionals are realizing the importance of them in today’s technology-driven world.  

According to Forbes, 83% of executives believe AI is a strategic priority for their businesses today, while 75% of executives say that AI will allow them to move into new businesses and ventures. 

But how do I make my own AI assistant? 

Designing and developing an AI assistant is a complex process, but it’s possible with the help of experienced software developers. Dive into this article with us, where we’ll explore different types of AI assistants for business, key features, and how to make your own AI assistant. 

What is an AI Assistant? 

An AI assistant is a software program that uses natural language processing and machine learning to provide information and perform specific tasks. Businesses and clients can interact with the program via voice or text, and the AI assistant will give immediate responses while performing additional tasks that a traditional assistant would do. This includes answering customer service questions, setting reminders, scheduling appointments, delegating requests, and so much more. 

An AI business assistant offers a number of advantages, such as enhanced productivity, the ability to save time and money by streamlining everyday tasks, and a more positive experience for both customers and businesses. 

Types of AI Business Assistants You Can Build 

AI business assistants can help with a variety of everyday operations. Let’s explore some of the common AI assistants that businesses are using today: 

Virtual Personal Assistants (VPAs) 

VPAs perform a range of tasks that help individuals in their everyday lives. This includes scheduling appointments, setting reminders, answering general questions, and controlling smart home devices. 

Key Features:

Voice recognition

Task automation

Internet search

Calendar management

Messaging and communication

Smart home control

Navigation and maps


  • Convenience 
  • Multitasking 
  • Personalized assistance 
  • Improved organization 
  • Hands-free operation 
  • Time savings 

Some VPAs you may be familiar with are: 

Google Assistant

Google Assistant performs a range of tasks to help users get their everyday tasks done more efficiently. It answers questions, schedules events, plays games, sets reminders and alarms, and much more. 

Key Features:

Voice recognition

Integration with Google services

Home automation

Contextual understanding

Multilanguage support


  • Entertainment control 
  • Voice search and information retrieval 
  • Accessibility 
  • Wide device compatibility 
  • Google ecosystem integration 


Alexa is a cloud-based voice service that acts as an interactive virtual assistant. She can control your smart home, answer questions, play your favorite song, and more. 

Key Features:

Voice recognition

Shopping and ecommerce

Music and entertainment

Vast ecosystem

Customized features


  • Extensive device compatibility 
  • Shopping integration 
  • Multi-user support 
  • Communication features 
  • Continuous updates 

Customer Service Bots and AI-Powered Chat Assistants  

Customer service chatbots help businesses automate responses to frequently asked questions, offer product recommendations, and have human-like conversations with customers at any time of the day. 

Key Features:

Instant responses

Multilingual support

Data collection

24/7 support

Personalized interactions


  • Improved response time 
  • Enhanced customer engagement 
  • Scalability 
  • Cost savings 
  • Reduced errors 

Popular examples include: 

HubSpot Chatbot Builder

Hubspot’s Chatbot Builder provides unlimited conversations at scale. This software helps you easily create and customize chatbots to enhance customer service. 

Key Features:

Easy chatbot creation

Integration with CRM

Analytics and reporting

Multi-channel support

Drag-and-drop editor


  • Improved customer engagement 
  • Lead generation 
  • Consistent messaging 
  • Scalability 
  • Data-driven insights 


Zowie uses real-time customer data to help shoppers browse and pick the right items for them. This generative AI chatbot talks like a real person, unlocks hidden revenue, and understands ecommerce like no other bot. 

Key Features:

Product recommendations

24/7 support

Live chat


Collection of information

Mobile user support


  • Lower support costs 
  • Uncovers new revenue 
  • Multilingual solutions 
  • Embodies your brand 
  • Crafts tailored responses 

Sales and Marketing Bots

Sales and marketing bots are used for automating sales processes and personalized marketing. They help businesses connect with customers and make data-driven recommendations to improve lead generation. 

Key Features:

Automated messaging

Lead qualification

Feedback collection

Product recommendations

24/7 support


  • Increased sales 
  • Scalability 
  • Enhanced customer loyalty
  • Data-driven recommendations
  • Improved lead generation 

Some real-world examples are: 


Tidio combines AI and human support to provide fast and easy customer service solutions. It works to automate your communication and increase your sales. 

Key Features:

Live chat


Visitor tracking


Knowledge base


  • Visitor insights 
  • Improved customer engagement 
  • Efficient workflow 
  • Self-service support
  • Multi-channel convenience 


Intercom is a customer messaging platform that combines an AI chatbot, help desk, and proactive support to offer the best customer service solutions. By helping businesses easily scale their business support, they can also increase customer satisfaction. 

Key Features:

Live chat

In-app messaging

Customer support ticketing

Visitor tracking

Automated features

Email campaigns


  • Personalization 
  • Proactive communication 
  • Knowledge sharing 
  • Multi-channel communication 
  • Scalability 

Data Analysis Assistants 

Data analysis assistants analyze large sets of business data to provide businesses with valuable information and recommendations. These tools help automate tasks and enhance decision-making processes. 

Key Features:

Data processing

Automated analysis

Data integration

Pattern recognition

Predictive modeling


  • Improved accuracy 
  • Data-driven decisions 
  • Continuous monitoring 
  • Time savings 
  • Data exploration 

Some real-world data analysis assistants that you may be familiar with are 

Julius AI

Julius AI is a data-analysis tool that allows users to connect their data sources and ask questions about their data. Users can interpret, analyze, and visualize complex data with Julius AI. 

Key Features:

Audience insights

Performance tracking

Influencer relationship management

Competitor analysis

Campaign planning


  • Data-driven design making 
  • Improved ROI 
  • Streamlined collaboration 
  • Compliance 

Microsoft Power BI

Microsoft Power Bi is a great example of a platform that offers users AI tools to create interactive data visualizations from multiple data sources and share important business insights. This empowers businesses to make data-driven decisions and allows them to choose when they need to use AI features within the platform. 

Key Features:

Data modeling

Drag-and-drop interface

Natural language queries

Security and data governance

Data connectivity


  • Integration 
  • Ease of use 
  • Customization 
  • Scalability 
  • Real-time insights 

AI Shopping Assistants for Ecommerce Businesses  

AI shopping assistants provide personalized and convenient shopping experiences. They help shoppers find the products they’re looking for, which in turn improves loyalty and boosts sales. 

Key Features:

Personalized recommendations

Product search enhancement

Inventory tracking

Product comparisons

Shopping cart management

Payment assistance


  • Improved user experience 
  • Increased sales 
  • Reduced cart abandonment 
  • Scalability 
  • Money and time savings 

Examples of AI shopping assistants include: 


RetailRocket is an all-in-one management platform that develops AI-enabled marketing automation tools. This product focuses on retention management to help provide personalized solutions to customers. 

Key Features:

Product recommendations

Behavioral tracking

Predictive analytics

Email personalization



  • Improved conversion rates 
  • Enhanced user experience 
  • Increased average order value 
  • Reduced cart abandonment 
  • Data-driven insights is an ecommerce personalization and recommendation platform that shows users the products they want to see. This all-in-one ecommerce platform delivers a personalized shopping experience to customers worldwide. 

Key Features:

Search functionality

Email marketing integration

Product recommendation

Behavioral tracking

Predictive analytics



  • Increased sales 
  • Reduced bounce rates 
  • Higher conversion rates 
  • Data-driven insights 
  • Improved marketing ROI 

Specialized Assistants 

Specialized AI assistants, also known as industry-specific assistants, perform specific tasks within a particular field. Developers work closely with companies to create AI assistants that address the unique requirements of their business or industry. 

Some examples of industry-specific assistants are AI writing assistants, AI banking assistants, AI coding assistants, AI scheduling assistants, AI medical diagnosis assistants, virtual assistants for real estate, and so many more. 

Since there are a variety of industries that they can be applied to, the features of each software may be different. However, here are the general features and advantages of a specialized assistant: 

Key Features:

Niche focus

Domain expertise

Customized training

Continuous learning

Data integration

Task-specific capabilities


  • Enhanced productivity 
  • On-demand expertise 
  • Data-driven decision making 
  • Customized solutions 
  • Time and cost savings 

Examples of specialized assistants include: 


Zillow is a real estate marketplace that uses AI-powered tools to streamline the buying and purchasing process. Users can search millions of rental listings and houses for sale, compare home values, and connect with local professionals. 

Key Features:


Property search

Interactive maps

Property alerts

Homeownership tools

Market trend data


  • User-friendly 
  • Market insights 
  • Mortgage assistance 
  • Mobile accessibility 


PathAI uses AI-powered pathology to assist pathologists in diagnosing diseases from pathology slides. It provides end-to-end automation for long-term solutions. 

Key Features:

Digital pathology integration

AI-powered image analysis

Automated reporting

Data integrations

Educational resources


  • Enhanced diagnostic accuracy 
  • Remote collaboration 
  • Scalability 
  • Improved workflow
  • Research and data insights 

Capital One AI Banking Assistant

Capital One uses AI to enhance their banking services, allowing customers to save time on basic banking tasks. This enables them to handle customer queries quickly and efficiently, providing real-time information and support. 

Key Features:

Customer support

Financial insights

Appointment scheduling

Natural language processing

Transaction assistance


  • 24/7 support 
  • Efficient customer service 
  • Instant account information 
  • Personalization 
  • Security 

Codeid’s AI Interviewer

Codeid’s AI Interviewer is recruiting software that provides AI-powered recruiting solutions. By using AI to streamline the entire hiring process, recruiters can find the right talent for way less time, money, and headaches. 

Key Features:

Skill-based question generation

CV insights

Candidate-centric interviewing

Real-time evaluation


  • Seamless Coordination 
  • Consistent Assessment 
  • Boosted Efficiency 
  • Time and cost savings 
  • User-friendly 
ai business assistant

Key Features of Effective AI Assistants 

AI business assistants are well-equipped with advanced features to meet all your business needs: 


  • Natural language processing (NLP) capabilities. NLP uses machine learning to enable software to understand and respond to text or voice data. This allows AI assistants to communicate with customers in a human-like way, better enabling them to answer questions and understand the intent behind their inquiries. 
  • Machine learning for personalization and improvement. Computer systems use algorithms and models to analyze user behavior, understand their preferences and needs, and tailor the experience to offer them a better user journey.  
  • Integration with existing business systems (CRM, ERP). Connecting the capabilities of an AI business assistant with the functionalities of software systems helps automate tasks, provide valuable data insights, streamline workflows, and improve customer service. 
  • User interface and experience considerations. AI assistants have a conversational interface that allows them to interact naturally with customers. They also have error-handling user interfaces, personalized responses, and multimodal interfaces that help improve the overall user experience. 
  • ChatGPT integrations. There are various ChatGPT integration solutions that ensure that AI assistants provide a reliable and positive experience for customers. Developers create custom ChatGPT solutions depending on the needs of your business. 

Building Your Own AI Assistant 

So, how can I create my own AI assistant? 

Keep reading to explore the development process, important tools, and a quick overview of the pros and cons of hiring a development company versus building in-house. 

Overview of the Development Process: Planning, Designing, and Testing.  

Here are the key steps to designing your own AI assistant: 


  • Define your goals: The first step in any development process is setting clear goals and expectations. Some questions you should ask yourself are: What tasks do I want my AI business assistant to perform? What are my target audience’s needs? How complex and scalable should the system be? 
  • Choose an AI platform: There are many platforms available, so it’s important to consider what your specific project requirements are, as well as the ease of use, scalability, and compatibility with other systems. We’ll discuss this more below. 
  • Develop the AI logic: This is a crucial step in the development process and involves designing the algorithms and decision-making processes that allow your assistant to better help you and your customers. Consider incorporating machine learning techniques so that your system continually improves based on user behavior. 
  • Choose the base model: The base model is the foundation of your AI assistant and determines its core capabilities. 
  • Design AI features: Creating an AI assistant from scratch allows you to implement unique features that cater to your specific needs. Since every business is different, having a custom assistant helps you cater to your audience more accurately. 
  • Data collection and preprocessing: Machine learning techniques can be used to test the system, which helps guarantee that your AI assistant is continually evolving. One of the ways to do this is by providing the system with a large amount of data so that it can recognize patterns and make informed decisions. 
  • Design user interface: Creating a user-friendly system helps improve the overall user experience. Your AI assistant should have a clear and intuitive design that helps guide users easily throughout their journey. 
  • Testing: After you build a prototype, the system should be tested with various users of different backgrounds. This will help you define what needs to be adjusted before deployment. 
  • Deployment: Once the AI assistant is installed, your customers can start interacting with it. Keep in mind that although testing has already been performed, continual monitoring helps identify room for improvement at different points in time. 

Tools and Platforms for Building AI Assistants 

There are many tools and platforms available, each with their own features and capabilities. Some of the popular platforms are Google Dialogflow, IBM Watson, and Microsoft Framework. 

Google Dialogflow is a platform that uses natural language understanding and Google AI to develop chatbots, voice bots, and virtual agents. Key features include a generative AI agent, a visual flow builder, omnichannel implementation, state-based data models, and end-to-end management. 

IBM Watson is an AI and data platform that leverages foundational models and machine learning to create AI assistants. Key features include natural language processing, machine learning, speech recognition, and language translation and understanding. 

Microsoft Bot Framework is another powerful platform that uses AI and natural language processing to create AI assistants for businesses. Key features include the Bot Builder SDK, language understanding, Azure integration, dialog management, and integration with cognitive services. 

Before choosing a platform, do your research and choose the one that best fits the requirements of your project. 

Hiring a Development Company vs. Building In-House: Pros and Cons.  

So now the big question: should I hire a third-party development company or do it in-house? 

Each side has its advantages and disadvantages, which is why we’ve outlined the important pros and cons of each option. 


Pros of hiring a development company: 

  • Ability to work with a diverse team of global talent 
  • Cost efficient 
  • Faster development time 
  • Scalability 


Cons of hiring a development company: 

  • Can be more expensive if multiple projects are required 
  • Potential problems with working in different time zones 
  • Confidentiality concerns if you don’t choose a credible company 


In-house pros: 

  • More control over the development process 
  • Long-term investment 
  • Institutional knowledge 


In-house cons: 

  • Higher costs 
  • Expansion of staff 
  • Resource constraints 
  • Risk of turnover 
  • Time-consuming 

While both options have pros and cons, hiring a third-party development company is a valuable option for many businesses. A credible development company takes necessary security measures, cares about transparency and communication, and has a diverse team ready to start at your earliest convenience. 

how do i make my own ai assistant

Future Trends and Developments 

The global AI market is expected to grow at a CAGR rate of 37.3%, taking it from $196.63 billion in 2023 to an anticipated $1,811.75 billion by the end of 2030. This forecast shows us that many new platforms, features, and capabilities are expected to bloom in the coming years. 

Emerging technologies in AI, such as advanced language models and quantum computing, will help developers create AI assistants that have an even better natural language understanding and offer increased automation and personalization. 

As the capabilities of AI assistants for business grow, we expect to see them integrated even more into our everyday lives. Businesses and individuals may start to rely on them more to streamline their tasks and help them stay organized, both at the office and in their own homes. 

Our Expertise in Artificial Intelligence 

Scopic’s team of developers provide machine learning and AI development services to provide custom solutions for businesses. By successfully integrating the transformative power of machine learning into our development processes, we’re able to offer tailored solutions to solve complex problems. 

Our team also has extensive experience integrating ChatGPT into systems to generate human-like text based on the input they receive. We offer a range of ChatGPT integration solutions to automate tasks and enhance customer interactions. 

Take our client, Abby Connect, for example. Abby Connect partnered with Scopic to create a web portal and mobile app that offers receptionist and chat support services to its clients. Scopic’s team of developers utilized OpenAI technology to implement an audio transcript summarization and understand the caller’s sentiment by analyzing the call transcription. Its ChatGPT integration allows for call transcription analysis, sentiment analysis, and data extraction. As a result, Abby Connect now provides quick and efficient customer service and converts more callers into customers. 


AI assistants are transforming the way businesses operate. Companies can now leverage innovative technology to increase efficiency, offer 24/7 personalized support, and make data-driven decisions. 

To stay competitive in the ever-changing market, businesses must embrace AI technology to secure a successful future. 

If you’re interested in learning how you can apply AI assistants and machine learning to your everyday business operations, contact our team at Scopic. 

FAQs about AI Assistants for Business 

What types of tasks can AI assistants perform?

AI assistants for business perform a wide range of tasks, including customer support, email management, scheduling events, data analysis, and task automation. 

Are AI assistants difficult to integrate into existing business systems?

Integrating AI with current systems can be difficult due to compatibility issues, limited APIs and interfaces, and resource constraints. To address these challenges, developers conduct a thorough assessment and develop a strategy for migrating data. 

What are the privacy and security implications of using AI assistants?

Developers must consider the security implications when creating an AI assistant, which include data handling and confidentiality. To prevent any issues, developers make regular updates to the system, use strong authentication and data encryption, and regularly monitor AI activities. 

Can AI assistants replace human employees?

AI assistants aren’t made to replace human employees but rather complement and streamline their work. They enhance productivity, provide quick access to information, assist with data entry tasks, handle customer inquiries, and perform a variety of other tasks that assist human employees. 

What should I consider when choosing an AI assistant for my business?

When selecting an AI assistant, you should consider functionality, scalability, cost, integration capabilities, support and documentation, and compatibility with business goals and requirements.  

About AI Business Assistants Guide

This guide was authored by Baily Ramsey, and reviewed by Vyacheslav Korchagin, Principal Engineer with experience in leading and delivering complex software and application development projects.


Scopic provides quality and informative content, powered by our deep-rooted expertise in software development. Our team of content writers and experts have great knowledge in the latest software technologies, allowing them to break down even the most complex topics in the field. They also know how to tackle topics from a wide range of industries, capture their essence, and deliver valuable content across all digital platforms.

Note: This blog’s images are sourced from Freepik.

If you would like to start a project, feel free to contact us today.
You may also like
Have more questions?

Talk to us about what you’re looking for. We’ll share our knowledge and guide you on your journey.