Patients needed fast, reliable, and unified access to their medical records, while maintaining complete control over their personal information.
A virtual assistant powered by Generative AI that reads and processes medical files, enabling accurate responses to queries about clinical history.
Empowered patients with complete control over their medical information, improving accessibility and privacy.
High demand for non-urgent requests was overwhelming the call center, limiting its ability to focus on critical cases and resulting in long wait times for service.
An AI-powered virtual assistant integrated into WhatsApp, designed to automate non-urgent medical requests and respond to inquiries 24/7.
It freed up the call center team for critical tasks and improved the user experience with immediate responses.
Manual call review was resource-intensive and subjective, making it difficult to evaluate sales and customer service performance.
An automated analytics platform powered by Generative AI was able to process and score calls based on objective metrics.
It reduced operational burden, increased evaluation accuracy, and improved decision-making efficiency.
Passengers faced long lines and confusion when searching for information about flights, gates, and airport services, causing unnecessary stress and delays.
Development of a real-time virtual assistant using Voice-to-Voice technology through an avatar. This assistant allows passengers to receive accurate and personalized information with voice commands, from flight updates to directions to their gate.
• Reduction in average passenger service time.
• Significant improvement in user satisfaction.
• Optimization of the flow of people in key areas of the airport.
• Freeing up staff to focus on higher-value tasks.
· We design advanced models to address Specific challenges.
· We process large volumes of data to extract insights Strategic and actionable.
· Business case: demand prediction models and sales, allowing optimize inventories, adjust strategies commercial and improve operational planning through Analysis of historical and real -time patterns.
· We combine generative with search systems advanced to deliver precise answers and contextualized.
· We integrate reliable sources of information to enhance.
· Business case: implementation of virtual attendees intelligent for customer service or internal support, Optimizing the resolution of consultations, reducing the load operational and improving the user experience through fast and precise responses.
· We develop intelligent systems capable of executing Tasks autonomously with minimal human intervention.
· · We automate complex processes and coordinate multiple Agents who collaborate in problem solving dynamic.
· Business case: AI systems capable of managing dynamic assignments, such as the distribution of tasks in real time, ensuring efficient execution and reducing the Need for manual supervision.
· We unify multiple AI technologies in solutions centralized to improve operational efficiency.
· We facilitate process management and enhance the collaboration between teams through digital environments smart
· Business case: development of an intelligent digital environment which allows multiple integration and orchestration Tools and data, optimizing communication, analysis and real -time decision making.
· We design smart workflows that automate repetitive tasks, optimizing efficiency and reducing operational costs.
· We implement AI solutions for decision making in real time, reducing errors and accelerating the times of Answer in critical processes.
· Business case: Optimization of administrative processes through AI, automating data validation and documentation, reducing processing times and improving precision in the execution of tasks.
Our talks are designed for all audiences and adapt to different knowledge levels and needs. From an accessible introduction to advanced sessions, we customize the content to ensure an enriching experience for each individual.
- Design and implementation of autonomous agents tailored to each industry and company.
- Self-learning and continuous optimization capabilities for task execution.
- Reduction of operational burden through agents that execute repetitive processes, analyze data, and generate strategic insights.
- Integration with existing systems such as ERPs, CRMs, customer management platforms, and operational tools.
- Agents that identify patterns and trends in real time to support decision-making.
- Optimization of resource allocation and detection of business opportunities.
- Agents that evolve alongside the company, adjusting their capabilities according to growth and market changes.
Customer service, marketing, sales, operations, among others.
- Compliance with security and data privacy regulations.
- Explainable and transparent models to facilitate audits and reviews.
Reduction of repetitive tasks and optimization of business processes.
Minimizes the need for human intervention, reducing operating costs.
Automatically adjusts to business changes without the need for manual reconfigurations.
Grows with the business, adapting to new challenges and demands.
Automates customer interactions for faster and more accurate responses.
Real-time data analysis and processing to improve business strategy.
· Retail & eCommerce: Customer service automation with proactive sales assistants.
· Banking & Insurance: Agents who process claims, validate risks, and suggest customized products.
· Manufacturing & Supply Chain: Logistics optimization and real-time demand prediction.
· Mining: Smart equipment monitoring, machine utilization optimization, and failure prediction with real-time data analysis.
· Human Resources: Agents who manage recruitment, onboarding, and organizational well-being.
· Healthcare: Automated support for shift management, emergency prioritization, and Predictive analysis for medical resource optimization.
