Customer story · Digital employeeThe internal AI assistant that makes reaching HR answers faster.
HERO is Pegasus' internal AI assistant, giving employees fast and accurate answers to their HR and administrative questions. Built on CBOT's no-code platform with LLM and NLP technologies, it serves in both Turkish and English, 24/7, and connects directly to HR systems for information such as leave balances.
As Pegasus grew, its HR team faced a rising volume and variety of employee questions about human resources and administrative processes. The aviation sector's shift-based work model and the need for 24/7 support made a faster, always-available solution essential, and the company's international structure meant that support had to be multilingual.
So Pegasus, together with CBOT, built HERO: an internal AI assistant that gives employees fast and accurate answers, day or night.
Built on CBOT's no-code platform with large language model (LLM) and natural language processing (NLP) technologies, HERO reads across Pegasus' extensive corporate documentation and answers employee questions in real time. For specific integration points it talks directly to databases; for everything else it uses an LLM-based response mechanism. Trained on hundreds of internal documents, it adapts to corporate terminology and interprets questions accurately no matter how they are phrased.
Available in both Turkish and English, HERO makes sure a cabin crew member on a night shift or an operations officer in an international office can reach the information they need at any moment, all while reducing the HR team's operational workload.
As Pegasus grew rapidly, the number and variety of employee questions about HR and administrative processes increased. The aviation sector's shift-based model demanded 24/7 support, the company's international structure required multilingual access, and handling repetitive requests manually was reducing efficiency. The HR team wanted a solution to optimize these operational processes.
As Pegasus grew, employee questions about HR and administrative processes grew in both number and variety.
The aviation sector's shift-based model meant support had to be available 24/7, day or night.
The company's international structure required support in more than one language.
Handling repeating requests manually cost the HR team time and reduced efficiency.
Pegasus implemented HERO, an internal AI assistant built on CBOT's no-code platform with LLM and NLP technologies. HERO processes Pegasus' extensive corporate documentation to answer questions in real time, integrates directly with HR systems for sensitive data such as leave balances, and serves employees in both Turkish and English, 24/7.
Trained on hundreds of internal documents, HERO adapts to corporate terminology and interprets questions accurately no matter how they are phrased, using an LLM-based response mechanism.
For sensitive data such as leave balances, HERO integrates directly with Pegasus' HR infrastructure and retrieves the information from the source systems.
Available in Turkish and English at any hour, so a cabin crew member on a night shift or an operations officer abroad can reach the information they need instantly.
HERO reads across Pegasus' internal documentation and connects to HR systems, so employees reach the information they need in real time, in Turkish and English, 24/7.
HERO shows how an internal assistant fed by corporate data can give employees instant, accurate answers while reducing the HR team's operational workload.
Initially designed for 23 topics, HERO evolved with LLM technology and now reaches an understanding accuracy of over 98% across both standard processes and unexpected questions.
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