AI chatbot Pricing

AI Chatbot Pricing: Everything You Need to Know

AI chatbots are transforming user experience and taking engagement levels to new heights. They are available around the clock and offer instant, reliable, and precise answers, increasing customer satisfaction levels. This makes understanding AI chatbot pricing important!

Chatbot costs range from $0 to $50,000 based on feature requirements.

Moreover, understanding the pricing of AI chatbots will help you make informed decisions. Read below to find out:

For the last 6 years, the AI adoption rate was around 50%, However, AI adoption has jumped to 72 percent in 2024 – Mckinsey

How Do Chatbots Help Businesses?

AI chatbots help businesses grow. Their functions range from automatically answering customer queries to giving customers a personalized experience. 

Their fast and accurate responses help deal with multiple customer queries at once. This helps them resolve more customer issues, increasing efficiency and customer satisfaction. 

  • Customer Support: Chatbots can answer users’ queries and FAQs. This allows the customer service team to engage with more complex questions and complaints, improving the overall customer experience.
  • 24/7 Availability: Unlike live representatives, chatbots work 24*7 and can provide support at any time the customers need.
  • Cost-saving: Companies reduce staff and operational costs by automating repetitive tasks through chatbots.
  • Efficiency: With the use of a chatbot, a business would handle more inquiries simultaneously, and therefore, they would answer their questions faster.
  • Data Collection: Chatbots can assist businesses in the collection of data from customers to be used in marketing strategies and future communications.

Also Read: How to Make a Chatbot?

AI Chatbot Pricing Models

When you decide to get a chatbot for your business, understanding the pricing models will be helpful. Chatbots can get quite pricey based on their complexity, the features you will need, and how they’re implemented. Here are the most common pricing models for anyone thinking of getting one for your business: 

Pricing ModelDescriptionCostExamples
Subscription-BasedMonthly or yearly fee for access to chatbot service$13 – $120/monthWotNot, Tidio, Landbot, Intercom, Botpress
Pay-As-You-GoPay per interaction$0.006 – $1/text or audio requestVaries
Free ChatbotsBasic functionalities, limited featuresFreeManyChat, Chatfuel, MobileMonkey, Botsify
Business ChatbotsDesigned for enterprises, advanced features$25,000 – $200,000+IBM Watson Assistant Enterprise, Google Dialogflow Enterprise, Microsoft Azure Bot Service Enterprise, Amazon Lex Enterprise, LivePerson
Custom/In-House DevelopmentDevelop your own chatbot$50,000 – $500,000+Varies

Subscription-Based Model

The business pays a monthly or yearly fee to access the chatbot service. This model is good for businesses who wish to save money on the introduction of a chatbot into their operations without having big upfront costs. Typical subscription plans vary in terms of interactions, features, and integrations.

  • Cost $13 to $120 per month for basic bots; depending on its features.
  • Examples: Subscription-Based Model: WotNot, Tidio, Landbot, Intercom, Botpress

Pay-As-You-Go Model

The pay-as-you-go AI chatbot pricing model helps avoid the overhead of a subscription or the upfront fee. With this model, businesses pay only for what they use, making it scalable. The cost per interaction usually falls between $0.01 and $0.10 but adds up quickly if your chatbot is answering a high volume of queries. It’s best suited for businesses with fluctuating demand or any business looking for the flexibility aspect.

  • $0.006 and $1 per text or audio request
  • $30-$50/hour for a developer

Free chatbots

Free chatbots usually come with basic functionalities, like responding to simple customer queries, providing product information, or order tracking.

Most free platforms offer businesses the flexibility to create their bot using pre-built templates and limit customization. However, they might limit the number of users, interactions, or features they can use.

  • Recommended for: small-scale startups or small-sized enterprises with less customer service needs.
  • Limitations: limited functionalities, limited interaction, no deep customization
  • Price: Free in cost, paid upgradings for extra add-ons
  • Free Chatbots: ManyChat, Chatfuel, MobileMonkey, Botsify.

Business Chatbots

Business chatbots are designed and developed for enterprises. These utilize all current technologies like AI/ML/NLP to perform jobs such as personal customer support, deep data analytics, and multi-channel integrations.

The enterprise-level chatbots might be designed to support multiple languages, accept payments, and carry out other complex functions. For large firms that receive tons of customer interactions, it is impossible not to install an enterprise-level chatbot.

  • Suitable for: Large enterprises with complex needs and interaction volumes for customer service
  • Features: AI-driven, fully customizable, multi-language support, payment processing, data analytics
  • Price: $25,000 to $200,000+ depending upon complexity and integrations
  • Business Chatbots: IBM Watson Assistant Enterprise, Google Dialogflow Enterprise, Microsoft Azure Bot Service Enterprise, Amazon Lex Enterprise, LivePerson

Custom/In-House Development

Companies can develop their individual, company-specific chatbot either in-house or by hiring a dedicated development team. In this type of AI chatbot pricing model, there is a large expense upfront, both in terms of time and resources spent during the process.

  • Time upfront as well as ongoing.
  • Cost $50,000 to $500,000 or more, 
  • depending on the size of the team, the amount of development time, and the features requested.

AI Chatbots Pricing – Cost Breakdown

The cost of chatbot implementation will depend on your specific needs. However, to further understand the pricing of chatbots, you also need to understand the factors that affect the final costs. Here’s what you would be paying for:

Cost ComponentEstimated Cost Range
Licensing Fees$20 – $5,000/month
Installation and Setup$500 – $15,000 (one-time fee)
Design$1,000 – $10,000
Custom Features$1,000 – $20,000
Custom Development (In-House)$50,000 – $500,000
Training$2,000 – $5,000
Maintenance and Updates$500 – $15,000/year

Licensing Fees

Signing up for a chatbot platform or service is an investment and a significant part of that is its licensing fees. But, this varies by feature set and service level. The least expensive basic package includes limited elements of functionality and works well for small-sized enterprises. 

A start-up will have fewer requirements and need to pay a lower licensing fee in comparison with enterprise-level chatbots. They come with advanced feature levels like AI-powered interactions, multi-language support, or analytics capabilities. The number of users can also determine the licensing fees. This varies for different platforms. 

For example, some may charge a fee per user, but others may have tiered pricing or may cost by usage or volume of queries. So consider your target users and the functionalities you need so you do not pay more than what you need.

  • Basic license cost on chatbot platform: $0-$500/month
  • Enterprise license: $500–$5,000/month
  • In-House Development: Approximately $10,000 per month
  • Outsourced Agency Development: Ranges from $1,000 to $5,000 per month

Installation and Setup

This installation and setup phase involves configuring your bot according to your business needs. Sometimes, it requires custom integrations or even modifications to work well within your existing systems. This might mean setting up the chatbot on your website, on your social media platforms, or within the CRM systems and then ensuring that your chatbot is fully operational. 

If your chatbot needs to be highly customized or you want to integrate it with third-party applications, the AI chatbot pricing will be significantly high. However, if it is a simpler setup where the chatbot is deployed with minimal customization, installation fees might be negligible. Businesses that opt for a more customized setup with specific requirements incur costly setup charges due to the complexity involved.

  • Basic setup costs: $500-$2,000
  • Complex setup with custom integrations: $5,000–$15,000

Design

The UX in designing a chatbot implies that the chatbot should be easy to use. Design should not just appear intriguing but also make communication with users smooth and efficient. A chatbot would first be pleasing to look at. It should also ensure that communication between the user and the chatbot takes place smoothly and efficiently. Design begins with an intriguing interface, followed by establishing the flow of conversation, tone, and personality to fit your brand. 

Chatbots with an intuitive design, short response times, and easy navigation offer a better customer experience and encourage engaging customer interactions. If your chatbot is available on more than one platform; you need to go for a responsive design; adding more to the cost. Moreover, implementing any branding elements, custom avatars, or distinctive design elements requires a lot of time and effort from your design team.

  • Basic design (pre-built templates): $1,000-$3,000
  • Custom chatbot design: $10,000–$30,000

Custom Features

Custom features are the extra functionalities that enhance the effectiveness of your chatbot. For example, features that may support multi-language functionality, AI-based learning capabilities, or integration with more advanced analytics tools considerably improve the overall performance of the chatbot. 

Moreover, if you also have specific requirements like chatbots processing payments or integrating inventory management software, invest in custom development work. These complex features are often characteristically challenging to develop, so the cost of development can increase substantially. 

More features, on the other hand, can sometimes mean more ROI because your chatbot pricing strategy will be able to accomplish more and provide a more personalized user experience.

  • Basic features: $5,000+
  • Advanced features (e.g., multi-language support, payment processing): $5,000 to over $100,000.

Factors on Which the AI Chatbot Pricing Depends

Chatbots can be a costly investment, but AI chatbot pricing depends on many factors. The following section will discuss the main factors contributing to the total price tag, helping youtube the right decisions:

Training

The training process entails feeding data to the chatbot so that it learns to give adequate responses upon taking user input. It may take weeks or even months before one reaches the most complex form of a chatbot. However, more processes are learned over time, especially when there is improvement in conversational ability through updates. If you want to train your business to require a learning and evolving chatbot from user interaction, the training process will be more extensive, adding to the AI chatbot pricing.

  • Basic Training: $2000-$5000
  • Advanced AI Training: $10,000-$30,000 (continuously as the bot learns and improves)

Maintenance and Updates

After setting up your chatbot it requires regular maintenance and updates. Just like any other software, these will have periods of update, bug repairs, performance improvements, and security patching. Moreover, as your business grows, the functionality of the chatbot may change, or it may be necessary to retrain it to answer new questions. 

General maintenance usually involves patching for security holes. This involves integrating the chatbot into other tools based on the business infrastructure. Regular maintenance costs ensure your chatbot is up-to-date and secure and that it presents the best possible service to your customers.

  • Standard maintenance includes bug fixes: $500-$2,000 per year
  • All-inclusive with feature upgrades: $5,000-$15,000 per year

Use Cases of AI Chatbot

The higher the complexity of your chatbot’s use case, the more you will have to invest. If your chatbot will just answer simple questions such as what are the store hours or respond to FAQs, a simple rule-based chatbot should be all that you need.  

However, if your business requires a chatbot with more complex capabilities. They can help you with processing complaints from customers, guiding a user through a multi-step process, or offering personalized recommendations. These chatbots need advanced services like natural generative AI development services and machine learning development, so you need a more advanced, AI-based chatbot. 

Such features allow the chatbot to handle customer query responses in a more human-like fashion, providing a better user experience. But they come with significantly higher development and operating costs. 

Query Volume

The number of queries your chatbot will handle also affects AI chatbot pricing. For instance, an e-commerce website with hundreds or thousands of visitors per day will need a chatbot capable of handling several interactions without compromising performance. 

Higher-volume chatbots need a stronger infrastructure and greater processing capacity, making the cost of operation more expensive. 

For instance, when large volumes of customers are expected, scalable, cloud-based chatbots can be utilized to manage the volume during rush hour. However, they are more expensive due to powerful infrastructure and the ability to handle higher volumes of interaction. 

Conversely, if your business incurs only a few customer queries per day, a more basic chatbot with low capacity can be enough, and the investment is smaller. 

Resource Availability

Your company’s internal resources also affect how much you should spend on a chatbot. If you have your in-house development team dealing directly with the developers and IT specialists, you can maintain the chatbot on your own. This reduces the up-front costs. Moreover, you can modify the chatbot according to your specific business requirements without reliance on third-party service providers. 

Nonetheless, creating a chatbot from scratch entails much time, skills, and resources. Your team should have competence in AI, NLP, and machine learning. Normal maintenance and updates are necessary to have a fully functioning chatbot. If that is beyond their expertise and skill set, then you may have to outsource it to an external vendor. While it might save internal resources, outsourcing usually costs more in terms of initial investment and you may also incur extra maintenance expenses over time.

ROI (Return on Investment)

ROI is one of the most important factors in AI chatbot pricing that suits your needs. The ultimate goal of a chatbot must be to enhance the customer experience, make processes more efficient, and eventually save money or generate more revenue. Another factor that companies need to consider is how much it will save them in the automation of repetitive tasks, reducing the workload on the customer support teams, and increasing customer satisfaction. 

A well-designed chatbot will also lead to more leads or conversions as it takes the customer through the buying process or answers questions that otherwise would prevent a sale. 

Integrations

The level of integration your chatbot requires will also affect the  AI chatbot pricing. A stand-alone chatbot is less costly to implement than a deeply integrated solution that may need integration with the customer relationship management system, marketing platforms, or e-commerce systems. 

For instance, when a chatbot is integrated with your CRM, it will require pulling customer data, updating records, and offering personalized interactions based on that information. 

Maintenance and Scalability 

Another factor to consider when investing is the cost of maintenance and the scalability of the chatbot. Chatbots are not a one-time integration project. They require constant updates with bug fixing and new training data to ensure their relevance and optimal performance. 

As your business is growing, so will the number of users your chatbot interacts with or the tasks it performs. An enterprise-level chatbot would require optimization and support and, perhaps steadily, increase the costs of operations. 

Custom & In-House Development 

Custom development is a costlier option but comes with out-of-the-box solutions. However, you have more flexibility with it. You will build a customized chatbot that reflects your business needs. On the other hand, custom development requires more labor power: you need developers, project managers, and UX designers. The AI chatbot pricing will range between $50,000 and $500,000, depending on the complexity of the bot.

Similarly, building an in-house chatbot is more cost-effective in the long run. However, it does come with its challenges, making it necessary to weigh the cost of time, staff, and ongoing maintenance.

  • In-house Development Costs: $30,000 to $100,000 depending on the bot’s complexity.
  • Freelancer or Agency Development: $1,000 and $20,000 for basic bots & and up to $100,000 for advanced systems. 

Conclusion

AI chatbots are no longer an option but a necessity for businesses aiming at a better customer experience and enhanced engagement levels. When creating a strategy for AI chatbot pricing, the costs involved are not only the initial outlay but also current maintenance and update costs. 

The key is to balance the initial investment with the value the chatbot will bring to your organization. Remember, a well-implemented chatbot can become a reason for the success of any business if approached the right way.

The cost of an AI chatbot varies. It depends on your requirements and the complexity of the tasks. So, to make the right decision, think of what you want your chatbot to do. A simple chatbot is less expensive while the complex one will charge more. 

Consider how many users will use the product because as the number of users increases, its cost will also increase. 

The right AI chatbot will improve your customer service, save time, and grow your business. Are you also looking for chatbot development of AI chatbot integration services for your business? Get in touch with our team!

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Advait Upadhyay

Advait Upadhyay (Co-Founder & Managing Director)

Advait Upadhyay is the co-founder of Talentelgia Technologies and brings years of real-world experience to the table. As a tech enthusiast, he’s always exploring the emerging landscape of technology and loves to share his insights through his blog posts. Advait enjoys writing because he wants to help business owners and companies create apps that are easy to use and meet their needs. He’s dedicated to looking for new ways to improve, which keeps his team motivated and helps make sure that clients see them as their go-to partner for custom web and mobile software development. Advait believes strongly in working together as one united team to achieve common goals, a philosophy that has helped build Talentelgia Technologies into the company it is today.
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