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AI Agents and Assistant for Digital Banking, Government Services, and Airline Customer Suppor

AI Agents and Assistant for Digital Banking, Government Services, and Airline Customer Suppor

Bhutan flag

Bhutan

Financial Inclusion

Public Services

Aviation

High replicability and adaption

Implementing Organisation

No Mind Bhutan

Bhutan, Thimphu, Thimphu

Private Sector

Implementing Point of Contact

Ugyen Dendup

Co-founder & CEO

Contributor of the Impact Story

No Mind Bhutan

Year of implementation

2022

Problem statement

Banks, government institutions, and airlines increasingly rely on digital channels to deliver essential services, yet many continue to operate on legacy systems with limited customer support capacity. Customers, citizens, and passengers often face long wait times, unclear processes, and inconsistent information when accessing banking services, government programs, or airline support. In banking and government services, users struggle with digital onboarding, service eligibility, documentation requirements, policy interpretation, and application status tracking challenges that disproportionately affect rural and underserved populations. Airlines face high volumes of repetitive customer queries related to bookings, cancellations, refunds, baggage, and flight schedules, leading to operational strain and reduced service quality. This use case deploys AI-powered digital service assistants for banks and government institutions, alongside AI customer support agents for airlines. Built using Natural Language Processing, these AI agents provide instant, multilingual, conversational assistance, resolve high-frequency queries at scale, and escalate complex cases to human agents when required, while integrating with existing systems.

Impact story details

NoMindBhutan is a Bhutan-based AI startup focused on building practical, human-centered artificial intelligence solutions for banks, government institutions, airlines, and education providers. Founded by young technologists and entrepreneurs, the organization addresses real-world service delivery challenges in regions with limited digital infrastructure and legacy IT systems. The organization specializes in AI-powered conversational agents, digital service assistants, and analytics platforms that integrate seamlessly with existing systems. NoMindBhutan emphasizes responsible and cost-efficient AI adoption by optimizing payloads, reducing system complexity, and ensuring privacy-aware deployments suitable for developing-country contexts. Since 2022, NoMindBhutan has deployed AI agents for customer support, digital service guidance, and internal knowledge access across banking, public services, and aviation. These solutions leverage Large Language Model (LLM), Retrieval Augmented Generation (RAG) and Natural Language Processing (NLP) to enable multilingual, always-available assistance while generating actionable insights for service improvement. Beyond enterprise deployments, NoMindBhutan is committed to digital inclusion and equitable access to services. Its approach positions AI as an assistive layer that augments human teams, improves service quality, and scales access without replacing human decision-making.

AI Technology Used

Large Language Model (LLM)
Retrieval Augmented Generation (RAG)
Natural Language Processing (NLP)
Machine Learning (ML)

Key Outcomes

Efficiency

Productivity

Access

Reach

Inclusion

Equity

User Experience

Satisfaction

Accuracy

Quality Improvement

Impact Metrics

Total users supported through AI digital service assistants

Post-Implementation

0

Year-on-year growth in AI-assisted service usage

Post-Implementation

0

Increase in depth of user engagement

Post-Implementation

0

Growth in AI-handled customer support interactions

Post-Implementation

+402.4% increase (581,095 additional messages)

Implementation Context

Deployed

Bhutan (with scalable deployment potential across South Asia)

Bank customers, airline passengers, and citizens accessing government services, including youth, rural users, and underserved populations

Key Partnerships

Banks, government agencies, airlines, and private-sector technology partners

Replicability & Adaptation

Moderate (Transferable with adjustments)

Localization for language, regulatory context, and service workflows is recommended. Integration requirements may vary depending on existing banking, government, or airline legacy systems.

* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.