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2025 · Confidential Lao Bank · Jason

Agentic AI for Lao-language banking

An agentic AI system designed around Lao-language interactions, with a public-facing banking assistant and an internal copilot for staff workflows.

Agentic AILao languageBankingInternal systems

Project snapshot

Project snapshot

Client / Product
Confidential Lao Bank
Role
AI Engineer at FoxAI
Markets
Laos
Stage
Internal pilot
Industry
Banking / Financial Services
Timeline
2025

Confidential Lao Bank

Highlights

  1. 01

    Public-facing Lao-language assistant concept

  2. 02

    Internal operations copilot

  3. 03

    Human handoff and approval paths

Confidential Lao Bank

About the Company

Built at FoxAI for a confidential bank in Laos. The project explored how agentic AI could support customers in Lao while giving internal teams a controlled way to retrieve information, prepare responses, and route complex requests to the right people.

2025

Scope of Work

  1. 01

    Public-facing assistant

    Designed a Lao-language conversational experience for common banking questions, with clear boundaries around what the assistant could answer and when it should hand off to a human.

  2. 02

    Internal operations copilot

    Built an internal workflow for staff to search approved knowledge, prepare responses, summarize requests, and route cases without exposing internal tools or data to public users.

  3. 03

    Agentic orchestration

    Structured the system around intent detection, retrieval, tool selection, response generation, and escalation rather than a single unrestricted chatbot prompt.

  4. 04

    Lao-language evaluation

    Established test scenarios for Lao-language understanding, terminology consistency, fallback behavior, and human review across both public and internal journeys.

Outcomes

  • Delivered a Lao-language agentic AI proof of concept for banking conversations.

  • Mapped separate public and internal experiences so customer assistance and staff operations could be governed independently.

  • Added retrieval, tool-use, escalation, and human-in-the-loop patterns for safer financial-service workflows.

  • Created a foundation for evaluating Lao-language quality, intent routing, and operational readiness before production rollout.

Tech Stack

Agentic AI orchestrationLao-language LLM workflowsRetrieval-augmented generationTool callingHuman-in-the-loop reviewEvaluation harness

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