Innovation Growth Anchored in Guardrails: Revolutionizing CX with Governance-Led AI Qorus-NTT DATA Innovation in Insurance Awards 2026

• Concept

KGI Life’s AI initiative is built on the concept of transforming insurance operations through a secure, governed, and scalable AI foundation. By integrating AI into core processes—such as underwriting, claims, and customer servicing—we convert previously unstructured institutional knowledge into structured, intelligent, and instantly accessible information. This innovation is supported by a robust AI governance framework that ensures all AI deployments remain safe, transparent, and compliant, enabling the organization to responsibly accelerate AI adoption across the enterprise.

The overarching concept is to position AI not just as a productivity tool, but as a strategic enabler that enhances decision-making, operational reliability, and service quality—establishing a new model for intelligent automation in the insurance industry.

• Objectives

1. Strengthen Enterprise‑Level AI Governance

Establish a comprehensive, risk‑based AI governance framework aligned with industry self‑regulatory standards.

Ensure AI transparency, model explainability, and continuous monitoring to support responsible and scalable AI deployment.

2. Transform Core Insurance Knowledge into Machine‑Ready Intelligence

Use AI to extract, structure, and systematize knowledge from underwriting, claims, and customer‑service documents.

Build a unified, high‑quality knowledge base that supports rapid internal decision‑making.

3. Enhance Operational Efficiency and Service Quality

Deploy an internal AI‑powered Chatbot to deliver accurate, consistent, and real‑time responses.

Significantly reduce information‑search time, accelerate content production, and improve overall process efficiency.

4. Establish a Sustainable AI Ecosystem for Future Innovation

Implement company‑wide AI application inventory and compliance processes to strengthen transparency and governance maturity.

Create a scalable operational and technical foundation that enables broader AI integration in the future.

• Reasons Behind

KGI Life’s innovation initiative is driven by the growing structural challenges faced by the insurance industry—particularly in knowledge‑intensive workflows, cross‑department collaboration, and consistency of service quality. Underwriting, claims, and customer‑service processes rely heavily on large volumes of unstructured documents and expert interpretation. Critical knowledge is scattered across disparate systems and individual employee experience, resulting in inconsistent information retrieval, prolonged response times, high training costs, and overall inefficiencies that negatively impact decision quality and customer experience.

At the same time, generative AI technologies are advancing rapidly. Without a robust governance framework, organizations risk encountering model bias, lack of transparency, and compliance gaps—factors that directly hinder the ability to scale AI adoption safely and responsibly. Building a secure, transparent, and governable AI foundation has therefore become essential to ensure long‑term operational sustainability.

Against this backdrop, KGI Life chose to adopt generative AI to transform core knowledge assets, optimize operational processes, and enhance decision support—while simultaneously strengthening enterprise‑wide AI governance. This approach addresses critical business challenges, including:

• Fragmented knowledge and low information‑retrieval efficiency

• Lack of standardization and inconsistent service delivery

• Potential risks arising from the absence of enterprise‑level AI governance

• Accelerating demands for digital transformation and operational efficiency

Ultimately, the initiative aims to establish AI as the intelligent core of insurance operations—improving decision quality, enhancing operational resilience, shortening the knowledge‑transfer cycle, and laying a stable foundation for the company’s long‑term AI roadmap.

• Competitive Landscape

While most competitors consider governance as a post-hoc compliance checklist that creates bottlenecks, KGI Life treats it as a strategic accelerator. KGI Life differentiates us by employing "Embedded Governance," integrating risk assessment directly into the design phase. This approach allows us to deploy low-risk tools rapidly while applying rigorous "Human-in-the-Loop" oversight for high-risk applications, achieving a balance of speed and safety that our peers struggle to match.

KGI Life’s Competitive Advantages

1. Pioneering a Complete and Scalable AI Governance Framework
   While most insurers remain in the pilot stage of AI governance, KGI Life has already established cross‑departmental governance structures, risk‑tiering mechanisms, and model‑monitoring controls. This enables largescale AI deployment under a well‑managed and controllable risk framework.

2. Deep Integration of GenAI into Core Insurance Knowledge Processes—Not Just Customer Service
   KGI Life applies GenAI to transform underwriting, claims, and customer‑service knowledge workflows, converting core business documents into structured, intelligent knowledge. This goes far beyond the common industry approach of “query‑based chatbots” and delivers true operational‑level efficiency gains.

3. Building Enterprise‑Level Knowledge Structuring as a Sustainable Competitive Moat
   While many insurers still rely on manually curated SOPs or fragmented knowledge management, KGI Life has completed the transition from unstructured → structured → intelligent knowledge. This enables continuous support for large language models and builds a deep, long‑term data‑asset advantage.

4. A Replicable and Scalable AI Ecosystem for Sustainable Growth
   Through integrated AI inventory, compliance operations, governance frameworks, and deployment mechanisms, KGI Life has established an AI ecosystem that can expand over time. This foundation allows subsequent AI use cases to be implemented faster, with lower risk and more measurable business impact.

• Inspiration

The inspiration behind KGI Life’s AI initiative stems from a deep understanding of long‑standing pain points within the insurance industry and a clear recognition that traditional operating models can no longer meet the demands of modern customers or digital‑first business environments. Insurance operations rely heavily on expert judgment, intensive document review, and complex cross‑functional collaboration. Over time, organizational knowledge became fragmented—spread across systems, documents, and individual experience—resulting in slow information flow, inconsistent service quality, and rising operational costs.

The emergence of generative AI presented a unique opportunity to fundamentally rethink how insurance knowledge is managed. GenAI’s ability to transform unstructured documents into searchable, explainable, and machine‑ready intelligence offered a breakthrough that could remove long‑standing bottlenecks and convert professional knowledge into a scalable, enterprise‑level asset. This became a key inspiration: unlocking the full value of institutional knowledge to enable smarter, faster, and more consistent decision‑making.

Equally important, KGI Life recognized a critical industry gap: while many organizations were eager to adopt AI, few possessed the governance maturity required to deploy it safely. Concerns around model bias, compliance, transparency, and operational risk often slowed or halted adoption. This insight shaped a governance‑first vision—embedding risk assessment, control mechanisms, and accountability directly into the AI design and development process.

Ultimately, the initiative was inspired by three strategic realizations:

• Knowledge must evolve from being individual‑dependent to becoming a structured enterprise asset.

• Operations must shift from manual workflows to intelligent automation.

• Innovation must scale safely under strong, embedded governance.

These insights formed the foundation of KGI Life’s AI blueprint, inspiring the creation of a solution capable of transforming how insurance operations are executed and how the organization prepares for the future of AI‑driven business.

• Involved Departments

• The AI Governance Committee: Chaired by the General Manager, providing strategic oversight and risk appetite definition.

• The AI Governance and Risk Assessment Team: Legal compliance, Risk Management, Information Security, Information Management.

• Agile Application Units: To ensure technology meets business needs, KGI Life maintains deep integration with specific operational departments, including Digital Innovation, Underwriting, Claims, customer services, and Business Planning for Agent Development.

• Key Outcomes

KGI Life’s AI initiative has delivered breakthrough results across its core business operations, successfully transforming technological innovation into measurable enterprise performance. Through the dual strategy of establishing an enterprise‑grade AI governance framework and deploying deep GenAI capabilities, the company has achieved significant progress in knowledge management, operational efficiency, risk control, and workforce enablement. These foundations collectively support KGI Life’s long‑term ambition to scale AI adoption sustainably across the organization.

1. Governance‑First Approach Establishes a Scalable and Controlled AI Foundation

KGI Life adopted a governance‑first strategy, redesigning its AI governance framework to ensure all AI applications operate under the principles of security, transparency, consistency, and auditability. The company established a cross‑functional governance structure, a comprehensive risk‑tiering mechanism, model transparency requirements, and continuous monitoring practices. Under this embedded governance model, AI risk assessments are integrated into early design stages, allowing low‑risk solutions to be deployed rapidly while high‑risk applications operate under strict human‑AI collaboration controls. This ensures the rare balance of speed, safety, and compliance—an advantage that differentiates KGI Life within the industry.

2. Deep Knowledge Structuring Accelerates Operational Transformation

Leveraging GenAI, KGI Life successfully converted large volumes of unstructured underwriting, claims, and customer‑service documents into searchable and inferable structured knowledge. This transformation established a high‑quality enterprise knowledge base that significantly improves Chatbot response accuracy, increases knowledge coverage, shortens frontline information search time, and reduces ongoing knowledge‑management effort. As a result, professional knowledge is now accessible in real time, enabling faster decision‑making and higher operational precision.

3. A Sustainable Human‑AI Collaboration Model Establishes the Foundation for Continued Growth

By transforming complex business logic into intuitive knowledge services, KGI Life has successfully established a mature Human‑AI Collaboration model. AI now supports—rather than replaces—decision‑making, enabling employees to focus on higher‑value tasks while ensuring that workflows remain transparent, controlled, and standardized.

Looking ahead, the initiative is fully scalable. In 2026, KGI Life will extend AI capabilities to additional departments through new Quick‑Service Modules, further enriching enterprise knowledge intelligence and accelerating the company’s overall digital‑transformation trajectory.