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AI Platform Bank 360

Customer
Commercial Bank Kyrgyzstan
Project manager on the customer side
Stanislav Mukovoz
Chief Data Officer
Year of project completion
2025
Project timeline
August, 2024 - December, 2025
Project scope
20000 man-hours
Goals

The primary objective of this initiative is to establish a comprehensive Artificial Intelligence (AI) Platform. This centralized platform will serve as a foundational technological ecosystem equipped with a robust set of tools and services.

The platform is designed to achieve three key strategic goals:

  1. Automate Customer Service: Utilize AI to streamline and resolve client inquiries, reducing operational costs and accelerating response times.

  2. Forge a New Customer Experience: Create innovative, personalized, and seamless digital interactions to significantly enhance client satisfaction and loyalty.

  3. Automate Employee Workflows: Implement AI tools to automate routine and repetitive internal tasks, thereby freeing employees to focus on complex problem-solving and strategic work.


Project Results

The implementation of the AI Platform has delivered significant, quantifiable benefits across customer service, quality assurance, and back-office operations:

  1. Chat Automation: Customer service chats achieved an automation rate exceeding 70%, supported by instant and accurate automatic language detection (Kyrgyz/Russian/English).

  2. Quality Assurance Efficiency: The time required for dialogue assessment (Contact Center QA) was reduced by a factor of 10 thanks to the automated transcription and scoring system.

  3. Back-Office Productivity: Specialist processing time for critical document-based tasks (e.g., payment classification) was drastically optimized, decreasing from 8 person-hours to just 5 minutes per task.

  4. Arrested Accounts Processing: Front-line specialist time spent on managing and resolving issues related to arrested/frozen accounts (litigation response) was substantially reduced through AI automation.

  5. Ecosystem Safety: The risk of encountering unethical or inappropriate comments within the ecosystem's products (marketplace, classifieds) has been significantly lowered due to proactive AI-powered content moderation.


The uniqueness of the project

he uniqueness of our AI Platform is defined by its sophisticated, multi-layered technological strategy:

  1. Unified Stack: The project is built on a unified technological and infrastructure stack (1), ensuring seamless deployment, high scalability, and simplified maintenance across all components.

  2. Domain Focus: We deploy highly specialized, domain-focused ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models (2), guaranteeing superior accuracy in processing customer interactions specific to our industry lexicon.

  3. Hybrid LLM Strategy: Our approach leverages the power of cloud LLMs (3) for broad, non-sensitive tasks where scalability is paramount, while utilizing agile, small, local LLMs (4) for highly sensitive and focused tasks, ensuring both advanced capability and strict data sovereignty.

  4. Integration Core: The platform includes a rich library of customer interaction channels (5) with deep, native integration into master systems and the data warehouse. This guarantees real-time data access and transactional capability.

  5. Empowering Analysts: A dedicated Low-Code interface (6) empowers business analysts to directly configure, customize, and manage AI workflows and conversation scenarios without heavy reliance on engineering teams, significantly accelerating time-to-market for new automation solutions.

Used software
hardware: servers with GPU, OpenAI LLM ensemble, Gemini LLM ensemble, VITS
software: python, 3rd platform (under NDA)

Difficulty of implementation
1. business domain regional adaptation
2. kyrgyz language adaptation for ASR and TTS models
3. kyrgyz language dataset collection

Project Description

The Enterprise AI Platform is a strategic initiative designed to integrate advanced Machine Learning capabilities across critical business functions, focusing on enhancing customer interaction, maximizing operational efficiency, and transforming internal support processes. The platform centralizes AI services to deliver personalized experiences and drive significant end-to-end automation.

The scope of the project encompasses the deployment of eight core AI tools:

  1. Personalized Customer Service Chatbot: A sophisticated, personalized Customer Service Chatbot is being deployed across the bank's mobile application and major messengers. This solution utilizes Large Language Models (LLMs) and real-time data access to provide instant, context-aware service, moving beyond simple FAQs to handle complex transactional inquiries and offer tailored financial advice.

  2. Voice Dialogue Assessment Tool: The Voice Dialogue Assessment Tool targets Contact Center quality assurance. It provides high-accuracy audio transcription, automatic detection of 'stop words' and profanity, and an objective dialogue scoring system. This capability enables rapid identification of compliance risks, precise root cause analysis, and continuous optimization of operator scripts and training programs.

  3. HR Buddy Chat: An internal HR Buddy (AI Assistant) is implemented via a chat interface to support new employees. This tool provides instant, 24/7 access to onboarding materials, company policies, internal navigation, and answers common HR and procedural questions, significantly accelerating time-to-productivity for new hires and reducing the load on HR staff.

  4. Payment Document Classification Automation: We are automating the processing of financial documents. This involves an AI-powered system that automates the classification of payment documents based on the narrative and grounds of payment, dramatically reducing manual data entry errors and speeding up back-office and compliance operations.

  5. AI Voice Agent for Debt Collection: An AI Voice Agent for Debt Collection manages outbound calls to clients with outstanding balances. The agent utilizes nuanced Natural Language Understanding (NLU) to conduct personalized, compliant conversations, negotiate flexible payment plans, and process immediate payments, thereby boosting recovery rates while maintaining strict regulatory and ethical standards.

  6. AI Agent for Litigation Correspondence: The AI Agent for Inbound Litigation Correspondence processes and manages incoming legal documents and court orders. The system automatically extracts key data (e.g., case numbers, required amounts), triggers internal workflows, and directly manages the necessary client account actions (e.g., freezing or debiting funds) based on validated judicial requirements.

  7. Ecosystem Comment Moderation: To protect brand integrity and ensure a safe environment across our digital ecosystem (marketplace and classifieds), an AI-driven Comment Moderation system is being implemented. This solution automatically identifies and flags inappropriate content, fraud attempts, and violations of community guidelines, ensuring a clean and reliable user experience.

  8. AI Voice Agent for Outbound Sales: An AI Voice Agent for Outbound Sales executes proactive sales campaigns. By analyzing comprehensive customer data from the DWH, the agent identifies optimal leads and conducts engaging, human-like conversations to pitch new products or services, significantly expanding the reach and efficiency of our sales funnel.


Project geography

Operationally, the project has a dual geographical reach:

  1. Internal Operations: All employee-facing tools (HR Buddy, Payment Classification, Voice Assessment) are utilized internally across all [Bank Name] branches and remote offices nationwide.

  2. Customer Reach: Customer-facing services (Chatbot, Voice Sales, Debt Collection, Ecosystem Moderation) are accessible to all clients nationally and to our customers internationally via the mobile app and online channels, supporting a global client base while remaining anchored in the domestic market.

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