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ITSM Agentic AI Support System for Banking
This document outlines the design and implementation of an Agentic AI-driven IT Service Management (ITSM) support system tailored for the banking industry, implemented using Dify, Supabase, and Notion as core components.
1.0 Concept & Objective
The primary goal is to create an AI support workflow capable of handling typical banking ITSM cases:
- Login issues
- Account lockouts
- OTP delays
- Transaction errors
Key Objectives:
- Reduce manual workload for customer support agents
- Use AI agents to interpret logs, query knowledge bases, and create or follow up on support tickets
- Mimic human decision-making using workflows
2.0 High-Level Architecture