Let us be honest, in 2026, almost every business is using a chatbot. It might be a small online store answering “where is my order?” or a global bank guiding customers through transactions. AI chatbots are everywhere. These AI chatbots are now the new customer service agents, sales reps, and even virtual assistants.
But if you’re thinking about getting one for your business, the first question is always “how much does a chatbot cost?”
The answer is not easy. Chatbot cost depends on many factors, the type of chatbot you choose and the features you need. If you require a SaaS solution or a fully custom-built AI chatbot, and of course, long term maintenance. Building a chatbot from scratch costs you more whereas preferring an already built custom chatbot doesn’t.
In this blog, we will guide you through everything you need to know about chatbot cost in 2026, what are the factors that affect pricing, how does it cost to make an entire chatbot, what goes into chatbot development cost, and the top chatbot providers, and even some tips to reduce the costs.
What Factors Affect Chatbot Cost?
The cost of building or buying a chatbot is never fixed because several factors influence the final price tag. The most obvious one is complexity. A basic chatbot that simply answers all your FAQs will cost you less but an AI-driven chatbot which is capable of understanding context, jumping in between the topics naturally, and processing payments. The more intelligent and interactive the chatbot is, the higher its development cost.
Technology stacks also play a huge role. Many modern chatbots rely on large language models (LLMs) like GPT to deliver advanced conversations. Using these pre-trained AI models is a cost effective solution, but if your business requires a AI Chatbot which is trained on highly specific or sensitive data, the cost quickly rises. The same goes for multilingual AI chatbots or those with voice-enabled capabilities. A simple rule: advanced features means higher expenses.
The third factor that can increase chatbot cost is integration. A chatbot rarely works in isolation. Most businesses need their chatbots to connect with CRM systems such as Salesforce or HubSpot, e-commerce platforms like Shopify or internal databases. There are some chatbots that provide integrations within the platform, whereas other platforms may require extra development work, and the more systems you connect, the more the cost adds up.
Personalization also matters. A generic chatbot with standard responses is cheaper, but a chatbot that knows your industry and delivers customized answers needs training on your own datasets. That training process takes time and money. And finally, there is the ongoing side of things like maintenance and support. A chatbot is not a one time project. It needs regular updates, bug fixes, retraining and monitoring. These ongoing costs are often overlooked by businesses at the start but can make up a significant portion of total chatbot cost in the long run.
Type of Chatbots
When people think about how much a chatbot costs, they often forget that there are many different kinds of chatbots. It is important to understand that not all chatbots are the same. Different chatbots serve different business needs, and the type you choose has a direct impact on how much a chatbot costs for your company. If you are not sure about choosing the suitable chatbot, you can always go for white label chatbot and customize it accordingly. Let us explore the main types of AI chatbots that businesses use today.
1.Rule-Based Chatbots (AI-Assisted Hybrids)
Although our focus is AI-driven chatbots, it’s worth mentioning hybrid bots that combine rule-based flows with AI assistance. These bots follow pre-defined scripts for simple queries like FAQs but can switch to AI-based responses when questions become more complex. These bots are affordable and easier to deploy too, and often used by small businesses as an entry point before moving into fully AI-driven solutions.
2. SaaS Chatbots
SaaS chatbots are subscription based solutions where businesses pay fees month or yearly wise. They come with pre-built templates, chatbot customization guide, and easy integrations, which make them a suitable choice for small and mid-sized companies. Their chatbots cost usually ranges from $50-$1500 per month. The advantage here is quick set and lower upfront costs even though the customization is often limited compared to the custom-built chatbots.
3. AI-Powered Conversational Chatbots
These are the next generation chatbots people often choose in 2026. These chatbots are powered by large language models like GPT, they can understand the context, respond naturally, and even engage in multi-turn conversations. Unlike traditional bots, conversational chatbots don’t just answer questions in fact they actually “talk” in a way that feels natural and more human-like conversations happen. These chatbot costs are higher than SaaS bots because they often require data to train and integrate with business systems. These AI-powered chatbots can deliver significantly better user experience.
4. Custom-Built AI Chatbots
Custom AI chatbots are tailor-made from scratch for a business. They are highly customized and can be trained on specific industry data, integrated with multiple backend systems, and designed for advanced use cases like bank transactions, enterprise- level customer support., or AI chatbot for healthcare. This level of customization comes at a premium, while chatbot development costs range between $30,000 and $300,000 or more. They are best suited for mid-to-large enterprises that need flexibility, control and high personalization.
5. Voice AI
While most chatbots are text-based, voice-enabled AI chatbots powered by speech recognition and text to speech technologies are on the rise in 2026. These bots can handle spoken queries through smart agents, phone systems, or mobile apps. They rely heavily on natural language processing and speech recognition, which makes them more expensive to build and maintain at the same time. However they offer human -like conversations and a more natural customer experience. Industries like travel, hospitality, automotive, and retail are adopting them actively.
How Much Does it Cost to Buy a Chatbot?
If you are asking “how much does a chatbot cost?” The answer is simple: it is the kind of chatbot you opt for, your business model and requirements. If you opt for a ready-to-use SaaS solution or a completely customised AI chatbot, there isn’t the same price tag since the cost of the chatbot widely differs based on features, complexity, integrations and support needs. Getting to know these distinctions will let you make the best choice without breaking the bank.
For most startups and small enterprises, SaaS chatbots are the simplest and most convenient option. These bots are subscription-based, meaning you pay a monthly or annual subscription to use this service. The cost of the chatbot for SaaS solutions varies depending on the service provider and the included features from $50 monthly to approximately $1500 monthly for premium packages.
SaaS chatbots typically include pre-built templates, quick integrations, and a little setup, keeping costs low. They’re ideal if you need to get started quickly without the development costs. But they do have customization limits, so if your requirements are special, you’ll eventually reach those limits.
Alternatively, companies requiring a highly personalized experience go for custom-developed AI chatbots. This method responds to the question “how much does it cost to create a chatbot?” with a far more extensive range. Custom-developed AI chatbots is nothing but building a solution from scratch for your company, with features such as deep integrations, industry-specific training, multi-language support, and advanced analysis.
Creating such a chatbot calls for detailed planning, AI model training, development, and testing all these will sum up to cost. As of 2026, the cost to develop a chatbot for a custom solution can vary from $35,000 to $350,000 or more based on complexity.
While the initial cost is high, the return is a different and special chatbot suited precisely to your requirements, frequently yielding improved ROI in the long run.
Another aspect companies take into account when determining how much they will pay for a chatbot is employing a chatbot cost calculator. Using these calculators, you can estimate the costs against variables including number of users, integrations, AI complexity, and maintenance requirements. It’s an effective method to set expectations prior to contracting providers.
Ultimately, when asking “how much does a chatbot cost?”, you’re not just looking at the initial price but also the long-term value it brings. SaaS chatbots offer a low-cost starting point and speed of implementation, while custom built AI chatbots are a long-term investment that delivers a higher degree of personalization, control, and scalability.
What Makes Up the Chatbot Pricing?
How much does a chatbot cost and what all add up to pricing? Let us clear this question for you.
The cost of chatbot as said may be in between $50 to $30,000. But the fact is the pricing is not just a random number. Behind every price tag there are several factors that are considered for overall chatbot development cost. Understanding these layers makes it easier to see where your money actually is going.
1. Conversation Design and Strategy
Every chatbot starts with a plan. Conversation design is designing how the bot speaks to your customers and in what tone it should answer. For example, an e-commerce chatbot might have a friendly tone,while healthcare might require a more formal style tone. This stage shapes the complexity of the bot and directly influences the cost it takes to develop the chatbot.
2. AI Engine and Training Data
The brain of the chatbot lies in its AI engine. There are some pre-trained AI models that are cheaper, but if you want your chatbot to understand your product catalog, customer queries, or multiple languages, developers must train it with your business data. Training requires a huge database for the AI model to understand, but this training costs you more. This is one of the biggest differences between normal ready to use chatbots and custom AI solutions.
3. System Integrations
A chatbot becomes truly useful when it connects with other systems. These system integrations help you to connect the chatbots to your CRM. This helps to fetch information from the CRM, whenever any customer asks a query related to an order status, or appointment status etc. Simple SaaS bots come up in built integrations whereas building custom integrations might increase the chatbot cost.
4. Infrastructure and Hosting
AI-powered chatbots run on servers, usually on the cloud. For some workloads, businesses prefer to run bots on a secure, high-performance physical server for critical applications. This kind of dedicated infrastructure gives them more control over performance, data isolation, and compliance than typical shared cloud setups. SaaS providers include hosting in their monthly subscription or fee, but if you build your own chatbot, you’ll need money for cloud services like AWS, Google Cloud, or Microsoft Azure. The more users your bot supports, the more your hosting costs are, these can cost up to thousands of dollars per month for enterprise-scale deployments. To maintain reliability and control as infrastructure scales, cloud monitoring tools help businesses track performance, manage resource usage, and proactively address issues before they drive up costs or impact chatbot availability.
5. Ongoing Support and Maintenance
Many businesses forget that chatbots are not set up and you forget it. Over time your chatbot needs updates, bug fixes, new integrations, training on the new customer data to stay updated. This is why ongoing support or developers retainers are part of the chatbot pricing. Using a chatbot cost calculator without factoring in support costs might give you an incomplete picture of the actual cost.
Evaluating ROI: Is a Chatbot Worth the Cost?
Every business owner, manager, or startup founder has the same question, is a chatbot worth the cost? The short answer is yes, but only if you do it right in 2026. AI chatbots are no longer just handy tools, they are truly money, resource savers and revenue boosters. But to actually calculate or understand if chatbot cost makes sense for your business, you need to look at ROI, that is the “Return on Investment”.
How Chatbots Save Money
One of the biggest reasons businesses use chatbots is they cut down the staff and support costs. A well trained chatbot can answer up to 80% of simple questions like your business FAQs without human intervention. These agents can handle almost all your business queries, but in most complex situations human agent intervention is needed.
Companies report savings of 30% or more on customer service after choosing chatbots in place. In fact, research shows that a single chatbot chat might cost about 50 cents, while a human agent chat or call can cost $5 to $15 each per hour. That is a huge gap in savings.
How Chatbots Increase Revenue
It’s not just about saving money. Chatbots actually help you make more money. In e-commerce, they guide customers through checkout, keep suggesting products, and even remind customers with abandoned carts. Some businesses have seen conversion rates jump by 20% to 30% after adding chatbots, and many report higher average order values because the chatbot keeps interacting with customers regarding updates.
These chatbots recommend the add-ons to customers, for suppose if a customer is looking for a pair of shoes online, the chatbot can suggest matching socks or shoe cleaning kits, which might create a scope of increasing in total sales.
How Chatbots Improve Operations
Chatbots also make businesses run smoother. They are always online, 24/7 working outside the business hours in any time zone. Customers don’t have to wait for office hours to get answers. For example AI chatbot in banking, have reduced inbound call volumes by 40% or more, saving billions of dollars globally.
Klarna, a fintech giant, cut its average problem resolution time from 11 minutes down to just 2 minutes with AI chatbots, handling conversations in multiple languages at the same time.
The ROI Formula Made Simple
So how do you know if your chatbot development cost is worth it? That is where ROI comes in. The formula is :
ROI = (Gains – Cost) ÷ Cost x 100
Let us say you spent $30,000 to build a chatbot and $5,000 yearly to maintain it. In one year the chatbot saves 800 hours of agent time which is worth around $20,000, reduces ticket costs by another $10,000 and drives $15,000 extra sales. Total gains = $45,000. Total cost = $35,000.
So the ROI would be around 29% in the first year. That means not only the chatbot pays for itself but it also gives you nearly 30% extra. And in years two and three, as your upfront cost is gone, ROI keeps getting higher,
What Metrics to Track
To check if your chatbot is working, businesses use a few key metrics:
- Containment rate : How many queries the bot is actually solving without human help.
- Deflection rate: How many tickets or calls your human agent avoids because the chatbot has handled them.
- First response time or latency: How quickly the chatbot replies or instant replies and interactions with the customers. Less the waiting time, more efficient the chatbot is.
- Resolution time: How fast the customer problems are getting resolved.
- Escalation rate : How often issues need to be resolved by a human agent.
- Cost per interaction: Comparing chatbots that cost around 0.15$/ minute vs human chat $15/hr.
- Revenue gains : Sales the chatbot helps close or recover like abandoned carts.
- Customer satisfaction: Are customers happier with faster responses? Are there issues getting solved? In most cases the answer is often yes.
Risks that Lower ROI
Not every chatbot succeeds. Some fail because they are not properly trained or designed, or do not connect to the right systems. Other chatbot fails because businesses overspend on the features that are not actually necessary. To get the best ROI, you need clear goals, seamless integrations, proper ongoing training, and focus to enhance the customer experience.
Is it Worth?
When you add up the cost savings, sales boots and efficiency improvements, the answer to this is almost yes. A chatbot is not just a cost, it is an investment and revenue booster. Whether you choose SaaS chatbot or a custom
Average chatbot pricing model for Small, Mid Level, and Enterprises
There is no one size that fits all answers to this question “how much does it cost to make a chatbot”. Costs depend heavily on the type of bot, the development approach, and your business size. Here is the detailed breakdown of cost for different types of chatbots.
1. Small Business (1-50 employees)
- Ideal Use Cases: AI Powered HR Chatbot, Basic customer support, lead generation, appointment scheduling, simple FAQs.
- Chatbot Types :
Rule Based– Predefined responses based on user inputs,
AI-powered: Basic Natural Language Processing (NLP) capabilities.
DIY Platforms : No code tools for easy setup.
- Pricing Breakdown:
| Development Method | Monthly Cost (USD) | One-Time Setup Cost (USD) | Notes |
| DIY Platforms | $150 | $500 | Tools like ManyChat, Tidio, Landbot |
| Agency Development | $1,000-$5,000 | $2,000-$10,000 | Custom-built solutions |
| In-house | $5,000-$15,000 | $5,000- $20,000 | Requires a dedicated team. |
2. Mid Level Business (51-200 employees)
- Ideal Use Cases:Business in e-commerce, CRM integration, advanced analytics, multi channel support.
- Chatbot Types :
Hybrid -Combines rule-based logic with AI capabilities
AI-powered: Enhanced NLP for better user interaction.
- Pricing Breakdown:
| Development Method | Monthly Cost (USD) | One-Time Setup Cost (USD) | Notes |
| SaaS Platforms | $800- $1,200 | $2000 | Platforms like Intercom, Drift. |
| Agency Development | $5,000-$15,000 | $10,000-$50,000 | Custom-built solutions with integrations |
| In-house | $15,000-$30,000 | $20,000-$70,000 | Requires a dedicated team. |
3. Enterprises (500+ employees)
- Ideal Use Cases:Global customer support chatbot, multilingual capabilities, CRM/ERP integrations, advanced analytics, and personalization.
- Chatbot Types :
Generative AI : Advanced models like GPT-4 for dynamic conversations.
Custom AI Solutions : AI Agents specially designed for specific industries and for business use cases.
Pricing Breakdown:
| Development Method | Monthly Cost (USD) | One-Time Setup Cost (USD) | Notes |
| SaaS Platforms | $3000- $10,000+ | $100,000+ | Enterprise level solutions |
| Agency Development | $20,000- $50,000+ | $10,000-$500,000 | Highly customized solutions |
| In-house | $50,000-$100,000+ | $200,000-$1,000,000+ | Full control over development and data. |
Key Takeaways:
- Small Business: Cost-effective solutions like DIY platforms or basic rule based chatbots are ideal for startups and small businesses.
- Mid Level Businesses : Hybrid chatbots or advanced AI solutions offer scalability and enhanced customer interaction capabilities.
- Enterprises: Custom built generative AI chatbots provide tailored solutions to meet complex business requirements.
When you decide which chatbot solution to use, consider these factors like size of the business, budget, required features, and level of customization needed. This is essential to align the chatbot’s capabilities with your business objectives to ensure optimal performance and ROI.
Top 8 Chatbot Providers for All Kind of Business in 2026
The chatbot niche has grown up rapidly, with businesses worldwide relying on conversational AI to improve customer experience, sales and operations. In 2026, there will be many businesses offering chatbots, some as easy to use SaaS solutions whereas the others are built on custom AI frameworks.
Below, we highlight some of the top chatbot providers where every business should know about . We covered both SaaS and custom options, from startups to enterprise grade platforms.
1. Insighto.ai – AI Voice & Chat Agents
When we discuss top chatbot providers in 2026, Insighto.ai stands out because this platform goes beyond text chat. Insighto combines both chatbots and voice calls agents through one platform itself. Which means businesses can automate conversations not just on website and messaging apps, but also on phone calls, which is a perfect choice for a call center automation.
With Insighto.ai white label solution, companies or agencies can also launch their own chatbot across websites, WhatsApp/SMS, and phone lines without any coding knowledge. This platform contains over 50+ languages and dialects, automatically detecting the customer’s language during the conversations. Businesses can also train bots in minutes using their own data, whether it is everyday questions or product related documents. For voice agents, Insighto even lets you customize the voice to sound human-like so that customers feel more natural.
This platform’s major advantage is that it offers a pay-as-you-go model that means you can pay for only what you use. You can pay for the minutes based on the interaction, it can be voice or chat. This costs you around $0.06 per minute for calls and $0.015 per chat query. Insighto’s pricing is far cheaper and cost effective when it comes to hiring human agents. You can check the costs by yourself by using the ROI calculator to compare AI vs human costs. The platform also offers white-label options for agencies and partners who want to resell the chatbots under their own brand.
Key features:
- Conversation AI for both text and voice– Handles chat and phone calls with the same system.
- Multilingual NLP- Fluent in 50+ languages and can auto detect language for global reach.
- Omnichannel Integration – This works via web chat, SMS/WhatsApp, and Twilio voice links, integrating with CRM and messaging tools like Hubspot, Zoho, Salesforce etc.
- White-Label Customization– This platform supports its own branding and offers partners or agencies with reseller credits.
- Analytics & ROI Calculator– Insighto provides a built in dashboard and cost savings calculator to compare the difference of costs when it comes to AI and human agents.
Note: Insighto’s major differentiator is Voice AI. Most of the chat-first platforms can be your AI call center agent, answer calls and can also book use our AI chatbots for appointment booking . Customers have praised the platform as “hands down one of the best AI agent solutions”. It is designed for fast deployment with little tech needed, making it suitable for SMBs and mid-sized companies.
2. Google Conversational Agents (Dialogflow)
This is now branded as conversational Agents, which is a powerhouse for enterprises that need complex and multiple turn conversations. This uses advanced natural language processing to manage contextual dialogues, making it suitable for industries like banking,travel, and e-commerce. This platform integrates seamlessly with google cloud services and supports voice, web and mobile channels. Many companies prefer it for its multi-lingual support, and enterprise-grade security.
3. IBM Watson Assistant
This assistant is another enterprise-focused chatbot platform, widely used for customer service and IT helpdesks. This leverages IBM’s NLP capabilities and integrates easily with backend systems like CRMs and databases. These bots can not only answer FAQs, but also check orders, book appointments, or reset passwords. IBM provides strong analytics and multilingual support, and businesses in industries like finance, telecom, and healthcare use this assistant for its compliance features and ability to scale securely.
4. Microsoft Azure AI Bot Service (Copilot Studio)
This chatbot service is integrated with Copilot Studio, combining low-code/no-code bot building with advanced developer options. It connects deeply with Microsoft 365, Dynamics 365, and Teams, making it a preferred choice among enterprises already leveraging Microsoft’s ecosystem. As a trusted Dynamics 365 partner, businesses can deploy bots seamlessly across web, Teams, and telephony platforms. Developers can also extend functionality using Azure AI services, enabling powerful automation and intelligent customer interactions. For internal helpdesk bots, customer support, or sales automation, this service provides a robust and scalable solution.
5. Rasa
Rasa is a leading open-source chatbot framework, favored by developers and enterprises that need full control over how the chatbot behaves. Rasa can be hosted on a company’s own servers, giving the complete ownership of data. This is always a platform for industries like banking and healthcare. Rasa offers advanced NLU, flexible dialogue design and integration with any API or LLMs. Rasa is for building highly customized chatbots which SaaS tools cannot match.
6. ManyChat
ManyChat has become the go-t0 solution for small businesses, especially in the marketing industry. This is a no code SaaS platform that helps businesses build chatbots for Facebook, Instagram, WhatsApp and SMS. ManyChat excels in marketing automation to send promotion updates, abandoned cart reminders, and and one of the best lead generation chatbots .
The drag and drop feature helps the non-tech users to create campaigns and integrate with platforms like Shopify and WooCommerce. The pricings are also affordable and suitable for startups and mid sized consumer brands.
7. Freshpart (by Freshworks)
This is a part of freshworks customer experience suite, offering AI chatbots alongside live chat. It supports omnichannel messaging across web, mobile, WhatsApp, and social channels, all in one inbox. Freshchat includes features such as automated routing, FAQs and proactive chat. This chatbot provider is ideal for businesses looking to reduce support workload while keeping the human touch.
8. Intercom
Intercom remains as one of the most trusted platforms for SaaS companies and tech related startups. Intercom is actually a combination of AI chatbots with human support. This platform lets businesses automate lead qualification, onboarding, and customer service. If the AI chatbots are unable to handle complex situations, then human agents are kept ready for handoff.
Intercom’s proactive chat triggers, product tours, and strong analytics make it ideal for software companies because they want to engage users at every stage of their customer journey. It’s a good choice for businesses which need both automation and personalization.
How to Reduce Your Chatbot Development Cost?
Before you actually build your chatbot there are some factors to consider which will help you to reduce your chatbot development cost. You need to start focusing on a Minimum Viable product first. The golden rule is if you are just starting to build your business, always start with an MVP with essential features, use pre-built platforms like Rasa or Dialogflow, and consider outsourcing chatbot development to experienced agencies.
Additionally, you can define clear project requirements, use modular code, adopt cloud-based solutions, and do rigorous testing to avoid rework.
Planning and Strategy
This phase is crucial for you to understand what exactly your chatbot development process needs. Always start with defining your project goals, core features for the chatbot to avoid unnecessary complexity and the costs associated with development. Begin with basic and high-functioning chatbot and then scale its features based on the user feedback.
Using Tools and Pre-Built Platforms
You can always leverage the tools or platforms that are available in the market, this can save you thousands of dollars on development cost. These can significantly reduce development time and costs by providing pre-built frameworks and high customization. You can also leverage cloud services, as well as cloud security services for hosting and infrastructure to save on server costs and benefit from autoscaling capabilities.
Development and Implementation
You can save the maximum cost of development in this phase. The best way is to partner with experienced AI chatbot development companies or freelancers to get specialized skills and potentially reduce overall costs. Implementation can be a modular code approach to make it easier to add or modify features over time. This reduces the need for costly reworks.
Ongoing Optimization
If you train your AI chatbot regularly with new customer databases and conversation logs, it can help your chatbot improve its accuracy and performance over time. This helps you to enhance customer experience and reduce the future development needs. Identify areas for improvement that can save costs in the long run.
Conclusion
From affordable SaaS tools for startups to enterprise grade AI systems that can handle millions of conversations, chatbot pricing has options for every business. The important thing is not just looking at the upfront chatbot development cost, but also understanding the long-term ROI in terms of customer satisfaction, faster response times and lower support expenses.
Insighto.ai really stands out because we bring both chat + voice AI agents into one platform. This means that you need not have to juggle multiple tools for webchat or phone calls. Insighto handles it all. With our pay-as-you-go model, businesses only pay for what they actually use, making it cost-effective for startups while still scalable for global enterprises.
If you really want to see the difference in the cost, try using our ROI cost calculator and compare it with the pricing of the other leading providers. You’ll understand that Insighto can deliver not just lower costs, but also higher value because they save time, reduce human dependency, and enhance customer experience.
In 2026, one thing is clear: chatbots are not just nice to have anymore, they are essential business tools now. It can be any simple SaaS solution, a hybrid AI bot or a full-scale enterprise grade platform, investing in conversation AI will always be the smart decisions your business can take this year.
Still confused from where to start? We are here to help you. Contact us today, choose the best subscription that suits your business and set up your first AI chatbot within minutes! No coding required.
FAQs
How is chatbot value calculated?
The value of a chatbot is usually measured by how much this can save your business. Companies often calculate this by differentiating between chatbot costs with the savings of human agent costs.
Are chatbots cost-effective?
Yes, especially in 2026. AI chatbots have become one of the most cost-effective customer support solutions. The upfront costs are higher for in-house or custom solutions but long-term ROI is greater.
How much time does it take to build a chatbot?
The time to build a chatbot depends on the type and complexity. A simple rule-based chatbot can be set up in a few hours using SaaS platforms. An AI chatbot from a provider can take anywhere from a few days to a couple of weeks. For a custom enterprise grade Generative AI chatbot can take 3-9 months to develop.
Are chatbots free?
Some chatbots are free, but they usually come with very limited features. Many SaaS providers offer free plans that let small businesses or startups test the chatbot, but these plans often have limits for the conversations per month or annual.
