Artificial Intelligence

BOTMAKER USES GENERATIVE ARTIFICIAL INTELLIGENCE FOR SALES AND CUSTOMER SERVICE

FOR AGENTS Co-pilot: to increase agent productivity
FOR CHATBOTS
- Respond with AI: o transfer responses in flows for customized prompts.
- Knowledge base: To train the bot with web pages, documents, and previous chat bases.
FOR ANALYSTS Design ChatGPT-aided flows for contents and triggers. Create the most frequent flows

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Knowledge Base

This feature trains chatbots in a simple and fully automated way with information from different sources, such as web pages, documents and responses previously given by qualified human agents. Thus, the bots significantly expand their knowledge and understanding of business-relevant topics, enabling them to respond to customer queries with greater accuracy.

Respond with chatGPT by customizing prompts

Create automatic responses in your chatbots, optimizing resources for the creation of conversational flows

Automatic generation of responses based on prompts
Possibility to set the tone of the message
Possibility to set the maximum number of words
Inclusion of emojis
Use of variables

Test the responses the chatbot will give until they meet your needs by using the Test button found when you select Add bot response with ChatGPT.

When you click Save, the next time a conversation is generated between the chatbot and the user, ChatGPT will provide contextual responses based on previous interactions with that user.

Co-pilot for agents

allows agents to receive response suggestions
by ChatGPT in real time

How does it work?
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Co-pilot acts as a virtual assistant for agents, providing them with ChatGPT-generated response suggestions in real time during conversations with customers. This enables agents to respond more quickly and accurately, improving efficiency and customer service quality.

How to use agent responses to train ChatGPT?
‍
Co-pilot uses all interactions between agents and users as training data to improve its response suggestions. These are used to refine ChatGPT's generative models and thus generate continuous quality improvement in suggestions offered to agents in real time.

Pre-configured shortcuts
‍
Shortcuts (or quick responses) allow agents to send pre-configured messages quickly during conversations with customers, improving the speed and efficiency of their responses.

Design of customized flows

Design your most frequent and important flows

Create bots and manage your conversations from flowcharts that will shape the interaction with your users.

Design conversations easily
using a main flow and different alternative flows according to your needs.

THOUSANDS OF CUSTOMERS HAVING MILLIONS OF CONVERSATIONS PER DAY

FAQs

Artificial Intelligence is a set of techniques and algorithms that enable machines to learn to perform tasks that, in the past, only humans could perform. It works by collecting and analyzing large amounts of data, allowing machines to learn and improve continuously.

Some of the most common applications of Artificial Intelligence include process automation, improving customer service, data analysis, fraud detection, logistics optimization, and business decision-making.

Artificial Intelligence is a broader field that encompasses any technique or algorithm that enables machines to mimic human behavior. Machine Learning is a subcategory of Artificial Intelligence that focuses on machine learning through exposure to data.

Artificial Intelligence can improve the efficiency and profitability of businesses by automating repetitive tasks, providing accurate and real-time analysis and recommendations, and improving the accuracy and speed of business decision-making.

Some of the main challenges that companies face when implementing Artificial Intelligence include the lack of talent and expertise in the field, the complexity of algorithms, and the need for a large amount of high-quality data to train Artificial Intelligence models. Additionally, implementing Artificial Intelligence may require a significant investment in infrastructure and technology.

ChatGPT is a natural language processing model developed by OpenAI based on the GPT-3.5 architecture. It works by processing and understanding natural language to produce coherent and useful responses to user questions and requests.

Unlike other voice assistants and chatbots, ChatGPT is a natural language model that is not pre-programmed with specific responses. Instead, it relies on natural language understanding and machine learning to generate coherent and useful responses.

ChatGPT can answer a wide variety of questions, from general knowledge questions to specific questions about specialized topics. However, the accuracy and relevance of the answers will depend on the quality and specificity of the question and the amount and quality of data used to train the model.

ChatGPT can be used in business to automate responses to frequently asked customer questions, improve the user experience, and provide quick and accurate answers to customer queries. Additionally, ChatGPT can also be used to analyze and process large amounts of data to generate useful reports and insights.

The accuracy of ChatGPT's generated responses will largely depend on the quality and quantity of the data used to train the model as well as the specificity and complexity of the question. In general, ChatGPT is able to produce coherent and useful responses with a high degree of accuracy, although there may always be some margin of error in some responses.

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