Skello, the software-as-a-service (SaaS) company specialized in human resources, has taken an important step by incorporating an artificial intelligence (AI) assistant designed to optimize the user experience and data access. With a clientele of around 20,000 companies and 400,000 daily users in Europe, the company seeks to meet the demands of sectors such as hospitality, retail, healthcare, construction, and industry. Its functions include the creation of schedules, time tracking, and payroll generation.
Technological advancement has been made possible through the use of Amazon Bedrock, a comprehensive service that enables access to high-performance base models through a single API. This tool addresses the complex challenges of managing data in a multi-tenant environment, while simultaneously ensuring information security. The growing demand from users to manage and understand their data led to the focus on two areas: the rapid obtaining of unstructured information and its presentation through visual graphs.
The integration of large language models (LLMs) allows questions formulated in natural language to be transformed into precise structured queries. Nevertheless, this implementation requires careful attention to security and regulatory compliance, especially under regulations such as the GDPR. Skello has developed a system that not only answers complex questions efficiently, but also ensures a high level of data protection.
The system's security architecture guarantees that the access and authentication controls are executed before any interaction with the AI model, preventing unauthorized access and preventing information contamination between different client accounts. This implementation offers significant improvements, such as faster response times, automatic data visualizations, and a more intuitive user experience, making it easier for people without technical knowledge to generate graphical representations of their queries.
This progress in data visualization empowers users to create meaningful narratives from their data, enriching decision-making within their organizations. With this development, Skello bets on democratizing access to and understanding of information, allowing greater utilization of the informational potential contained in these data.
