![]() Once we have built the prototype, we discuss it with the client. It is built to verify some key functional aspects of the intended design, or in other words, to conduct a feasibility study. A prototype helps to learn many essential things. It can be code-based or simply in the form of a mockup (the choice depends on the chatbot complexity). PROTOTYPE IMPLEMENTATION AND EVALUATION PHASEĪ prototype is an early model that does not have all the functionality of the final product. If all the required data is accessible, the phase takes 5-7 working days on average.Īt Azati, we usually go through the discovery phase for free. By the way, we went the extra mile and wrote the article about the main difficulties you may face if you develop a chatbot on the platformįinally, the project managers estimate time, energy and budget, and reflect it all in the corresponding documentation.Īfter that, the parties define the scope of work needed for the next move (which is the prototype development). The complexity of the future chatbot doesn’t matter when choosing between the options – any of them might be suitable. – you get support and maintenance provided by the platform – a chatbot is built faster (as basic functionality is already offered by a platform) However, there are additional fees for customization, and oftentimes the final sum you pay equals the sum you’d pay for a custom solution. Such services work on a subscription basis and charge monthly fees (sometimes basic functionality is provided for free). – Building a bot on top of a bot-platformĪs a rule, creating a chatbot using an existing platform is a more cost-efficient option. Although, the support and maintenance of such a bot becomes your responsibility. This way, you are not tied to any platform abilities. It’s great to get a chatbot that developers built according to your needs, preferences, and plans. There are two major options for you to choose from: – Building a custom solution Basically, it might be the most important aspect that affects the chatbot price. You also need to decide how to build a chatbot. So, the next move is to identify the requirements and functional units of a chatbot, such as: The discovery phase is about learning what business has, wants and needs. ![]()
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