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Intelligent Personal Assistant that helps end users make the least amount of errors in their onboarding process, solve problems quickly and improve their registration experience.

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Terminology

IPA (Intelligent Personal Assistant) Technology based on artificial intelligence that helps users perform tasks and obtain information in a conversational and personalized manner.

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NLP (Natural Language Processing) Branch of artificial intelligence that focuses on the ability of machines to understand, interpret and respond to human language in a natural way.

 

AI (Artificial Intelligence) Subdiscipline of computer science that focuses on the creation of systems and technologies that can simulate human intelligence.

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Chatbot. Conversation robot is a computer program designed to simulate a conversation with users through a chat or messaging interface.

 

NLU (Natural Language Understanding) The process by which an artificial intelligence system can understand the meaning and context of a written or spoken message in natural language.

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API. Application Programming Interface is a set of rules and protocols that allow different applications to interact and share data with each other.

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Machine Learning. Machine Learning is a sub-discipline of artificial intelligence that focuses on the development of algorithms and techniques that allow machines to learn and improve from previous experience and data.

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Databases. Information storage and organization is a system that allows storing, retrieving and managing large amounts of data and information efficiently and securely.

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Integration. Connectivity with other systems and platforms is the process by which an application or technology connects with other applications or systems to share and receive information and data.

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UX (User Experience) A user's perception and evaluation of a product or service, including its usability, accessibility, efficiency and satisfaction.

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Personalization. Adaptation of the user experience to individual preferences is the process by which an application or service is adjusted to the individual needs and preferences of each user.

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Protection of personal information. The right of individuals to control and protect their personal information and personal data, including its use and disclosure.

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UI (User Interface) The way in which a user interacts with an application or service. The UI must be intuitive and easy to use to ensure a satisfactory user experience.
 

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Benefits

  • Allows the user to make fewer errors in the onboarding process.

  • Personalizes the experience.

  • Eliminates the need for the end user to contact the company's customer or support service.

  • Makes the onboarding process fast and secure.

  • Enables heat maps that allows the our customer to understand the behavior of their users in the onboarding process.

  • Performs data analysis to identify patterns and trends in the customer registration process.

  • Allows secure and accessible storage of customer information.

  • Generates reports and statistics on the customer registration process.

  • Increases conversion rate, by making it easy to finish a registration.

  • Development of document OCR alerts, document validation, Face Match, list validation and Liveness.

An intelligent Personal Assistant transforms registration into a user-friendly, error-free experience.

Process

X-EIA, anteia's Intelligent personal Assistant is composed of 2 modules. The first module refers to the normal flow that a user follows within the onboarding, it can be seen in the graph as the tasks associated with the first sub-process. This component gathers information associated with the recording of interaction within the platform, heat maps to identify critical points in navigation, navigation times, form filling order, device information and user segmentation, among others. This information allows maintaining a complete user analytics, knowing conversion rates and applying better strategies in the resolution of errors within support, as well as finding problems in the process.

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The second component refers to the creation of a support case. This can be triggered directly by the user when requesting help at any step of the process or when the system encounters errors such as a high number of attempts at some step. In this component, the user is asked to send the information to the support agent that will allow a faster and more effective resolution. Likewise, the support case is analyzed by the agent to instruct with a detailed set of indications that guide the user to solve the problem. The case analysis is performed based on the information collected such as browsing history, error history, device information, user segmentation, among others. This analysis allows reducing support response times, as well as increasing conversion rates by providing automated and personalized support to the user. Finally, the agent performs a survey and follow-up to verify the user's status after using the personal assistant.

Use cases

  • It is part of the processes of identity verification, registration of forms and electronic signature. 

  • Taking images of the identification document, Facematch, Liveness and Biometrics. 

  • It assists in filling out forms. 

  • Explains each item to be managed in identity verification and forms. 

  • Communicates inconsistent information in forms management, OCR capture and public sources of information.
     

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Frequently Asked Questions

How is X-EIA trained?
Our Intelligent Personal Assistant is trained using a combination of machine learning and NLP technologies. We collect large amounts of relevant data, such as conversations, mistakes made by the user, customer information. We clean and pre-process the data to ensure its quality and usefulness for training. We train our model using supervised and unsupervised machine learning algorithms on the preprocessed data. We evaluate the performance of our model and make adjustments to improve its accuracy and responsiveness. We validate our model with new data and perform tests in real situations to ensure its effectiveness and reliability.


What are the capabilities and functionalities of X-EIA?
Atenea is an intelligent personal assistant that offers a wide range of capabilities and functionalities, including error detection by the end user, task management, information organization, question answering, integration with different platforms and devices, among others.


In which countries do you have coverage?
Ecuador, Colombia, Costa Rica, Panama and Peru. 

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What type of information or data can X-EIA process and manage?
It can process and manage a wide variety of information and data, including user queries, personal user information, customer DB, response parameters and machine learning.

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How do you ensure that you provide a personalized and relevant user experience?
We use advanced machine learning and data analytics technologies to deliver a personalized and relevant user experience.

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What measures do you take to ensure availability and scalability?
We use a high-availability infrastructure to ensure that our service is available and accessible at all times. We implement redundancy and disaster recovery solutions to ensure that our service continues to function in the event of interruptions or failures. Our system is designed to automatically scale on demand to ensure consistent, uninterrupted performance. We perform continuous monitoring of our system to detect and resolve problems quickly and efficiently.

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How do you track and manage conversations and tasks?
X-EIA tracks and manages conversations and tasks through a combination of natural language processing (NLP) techniques, machine learning and task tracking algorithms. By identifying and understanding the specific goals and tasks mentioned by users in a conversation, the bot can create and maintain a record of these goals and tasks, as well as provide updates and reminders as needed. We use advanced conversation tracking technology to ensure that users can pick up a conversation where they left off, even on different devices. 


How do you provide fast and accurate response to user questions?
X-EIA uses a combination of databases, online resources and machine learning to provide fast and accurate responses to user questions.

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How does it provide a smooth and seamless user experience?
It uses advanced conversational and natural language processing technologies to provide a seamless and uninterrupted user experience.

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How do you ensure cross-platform and cross-device compatibility?
It is compatible with different platforms and devices, including mobiles, tablets and computers.

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What measures do you take to ensure service continuity and availability in case of interruptions?
It employs redundancy and contingency measures to ensure service continuity and availability in case of outages.

 

How do you provide a personalized and adaptive user experience?
X-EIA uses machine learning and data analysis technologies to provide a personalized and adaptive user experience.
 

Analytics

X-EIA's objective is to reduce support response times, as well as to increase case accuracy and user conversion within the platform. To achieve this objective, the assistant is responsible for collecting a large amount of information associated with the user's flow, navigation, interaction and information.

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The personal assistant is integrated with monitoring tools, allowing the collection of data such as user navigation heat maps, user interaction recordings, error and alert information, visit statistics at each step of the flow, conversion statistics, and user information.

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