AHE Bilge Qorus-NTT DATA Innovation in Insurance Awards 2026

AHE Bilge is a text-based AI assistant based on GPT 5.1 and it is powered by GPT‑5.1, a paid, premium model in the public market. It provides instant support to employees by leveraging both internal corporate information and general knowledge. It is positioned as a “digital colleague” that supports business processes and employees’ individual development. Its uniqueness comes from how it combines advanced AI capabilities with insurance business specifics, IT and HR knowledge, internal workflows, multi‑channel access (web + Microsoft Teams) and support for internal end-to-end request systems.

AHE Bilge consists of two main models, designed exclusively for Anadolu Hayat Emeklilik employees: the general model and the corporate model. The general model operates on a large dataset of publicly available information and is not specific to any particular organization. It provides general knowledge as well as technical and academic content, and is not tailored to Anadolu Hayat Emeklilik’s internal processes, applications or organizational structure. The corporate model, on the other hand, serves as a digital guide for IT and HR, explaining internal systems and IT processes and supporting HR communications. It provides L1‑style support, facilitates onboarding to internal tools, translates between business and IT language, and answers questions related to end‑to‑end request and workflow systems.

As an insource project, AHE Bilge is developed within Anadolu Hayat Emeklilik and it operates as a generative AI system based on machine learning technologies. It can quickly and accurately answer questions about HR procedures, internal company processes, and the end-to-end demand/request system, making access to information much easier for employees. In doing so, it significantly reduces time spent on repetitive, operational, and procedural inquiries, minimizing the need for manual research and back-and-forth communication. By providing the right information in a very short time, AHE Bilge increases employee efficiency and contributes to smoother, more effective internal processes.

The main objectives are to increase the speed of access to information for employees, automate frequently asked questions and repetitive tasks to boost productivity, facilitate information sharing across departments and strengthen corporate memory, provide time savings in tasks such as content generation, summarization, review and comparison, and ultimately improve employee experience while supporting decision‑making processes.

In terms of inclusivity, AHE Bilge is powered by GPT‑5.1, a paid, premium model in the public market, yet Anadolu Hayat Emeklilik provides access to this advanced capability free of charge to all employees. This ensures that every employee, regardless of role, department or location, has equal access to the same high‑quality AI support. By producing clear, accessible and context‑aware responses for users with different levels of technical proficiency, AHE Bilge helps reduce the digital divide and supports a more inclusive work environment.

Within this framework, AHE Bilge’s two‑model structure further reinforces ethics and inclusivity. The general model offers broad general knowledge, including technical and academic content, supporting continuous learning and self‑development for all employees. The corporate model focuses on internal systems, processes, IT and HR topics, acting as a digital guide that provides consistent, up‑to‑date information for everyone, from new joiners to experienced staff. Together, these models position AHE Bilge as an ethical and inclusive corporate AI assistant that enhances employee experience and supports informed, responsible decision‑making across the organisation.

In designing AHE Bilge, inspiration was drawn from enterprise AI assistants used by international organizations, LLM (Large Language Model)–based assistants developed by major technology companies, and digital assistant and chatbot examples in the banking and insurance sectors, as well as from the real needs of Anadolu Hayat Emeklilik employees, such as “How can I quickly find this document?”, “What is the standard approach on this topic?” and “How can I write/report this better and faster?”.

By nature, this is a multi‑disciplinary project. IT and Digital Transformation are responsible for setting up the technical infrastructure and managing security, integrations, and access. Human Resources, Learning & Development, and Corporate Communications focus on employee experience, onboarding and training, communicating use cases to employees, preparing user guides and training materials, and internally promoting AHE Bilge. Business units (such as Sales, Marketing, Operations, Product Management etc.) define real‑life use cases and provide practical feedback to improve the assistant. Compliance and Legal ensure alignment with PDPL (Personal Data Protection Law), data privacy requirements, and ethical use frameworks.

In the market and the industry, many organizations are deploying their own internal AI assistants. General‑purpose AI tools are widely used, but they are limited in terms of corporate security and data privacy, as well as alignment with company‑specific processes and terminology. What differentiates AHE Bilge is that it is designed specifically around Anadolu Hayat Emeklilik’s corporate language, terminology, and needs; it is built with security, confidentiality, and access control for internal use; and it is a scalable, evolvable platform that can be further integrated with corporate data, processes, and policies over time.

In general, the outcomes targeted and/or observed with AHE Bilge include increased productivity through time savings in drafting texts, preparing summaries, and creating email or presentation drafts; reduced time to access information, as some questions are directed to the assistant instead of person‑to‑person inquiries; and an improved employee experience, with higher first‑try success in finding answers and faster onboarding and learning for new employees. In addition, common use cases are emerging (such as content writing, summarizing regulations or topics, preparing training notes and checklists), and the solution is continuously improved through user feedback, which guides the enhancement of features, user guides, and policy sets.