AI Support Bot for Fintech Customer Service: ZebPay Case Study
A 24x7 intelligent support system for crypto users with automated resolution and human escalation. Deployed on web and mobile for all ZebPay users.
ZebPay needed a 24x7 support layer that could answer routine crypto platform questions, guide users through account and transaction workflows, and escalate complex cases to human teams. MythyaVerse built an AI support bot for web and mobile users, trained on ZebPay support documents, KYC guidance, platform workflows, and troubleshooting content. The system supports logged-in and non-logged-in users, automates common guidance, routes tickets, and gives support teams analytics on interaction patterns. The focus was consistent, trustworthy support with human control when issues require escalation.
Business Impact
The bot improved the consistency and availability of support for common user needs while giving human teams better context for escalations. ZebPay gained a stronger operational view of recurring questions and support demand.
Overview
ZebPay needed a reliable, always-available support system that could assist users with platform usage, crypto workflows, and account-related queries. With a large and growing user base, the company wanted to reduce dependency on manual support while maintaining accuracy and trust. The goal was to build a 24x7 customer-facing AI support bot with the ability to automate common resolutions and escalate complex cases to human agents.
Problem
Crypto users often need immediate help with repetitive but high-trust support workflows, while manual teams can become overloaded by recurring questions.
Constraints
- Answer platform-specific questions accurately for both logged-in and anonymous users.
- Guide users through crypto-specific workflows such as KYC, deposits, withdrawals, and transaction checks.
- Escalate complex or sensitive cases to human agents instead of over-automating.
- Give support leaders visibility into ticket patterns and unresolved intents.
Solution Architecture
- Support documents, guides, and workflow content power the conversational knowledge base.
- Guided automation handles common actions and collects context for support cases.
- Ticket triage and routing classify issues before escalation to the right queue.
- Analytics, logs, and monitoring help the support team review quality and demand patterns.
The Challenge
Crypto platforms face high volumes of repetitive but critical support queries. Users often need immediate guidance for onboarding steps, transaction issues, and account-related actions. Manual support teams can become overloaded, leading to delays and inconsistent responses. Key challenges included:
- High volume of recurring support queries
- Need for 24x7 availability
- Requirement for accurate, platform-specific responses
- Support for both logged-in and non-logged-in users
- Efficient ticket routing and escalation
- Actionable insights for support teams
Objectives
- Provide 24x7 customer support through an AI-driven conversational system
- Reduce manual support load by resolving common issues automatically
- Improve response time and consistency of answers
- Enable guided workflows for crypto-specific actions
- Support seamless escalation to human agents
- Offer analytics and insights to ZebPay's support team
Our Approach
MythyaVerse designed and built an end-to-end AI support platform tailored to the needs of a crypto exchange. The bot was trained on ZebPay's structured support documents, platform guides, KYC processes, and troubleshooting workflows. It handles frequently asked questions while also guiding users step-by-step through actions such as deposits, withdrawals, and transaction checks. The system supports both logged-in and non-logged-in users, with ZebPay's APIs providing relevant context to personalize responses.
Solution Delivered
- AI Support Chatbot -A conversational interface available 24x7 on web and mobile for all users.
- Crypto Workflow Automation -Guided assistance for deposits, withdrawals, KYC steps, and transaction-related issues.
- Ticket Triage and Routing -Automatic classification and routing of tickets to the appropriate support queues.
- Human Escalation -Seamless handoff from AI to human agents when required.
- Support Analytics Dashboard -A dashboard for ZebPay's support team to analyze customer interactions, ticket patterns, and resolution outcomes.
- Logging and Monitoring -Comprehensive logging to track accuracy, response quality, and system performance.
Technologies Used
Next.js
React
Node.js
FastAPI
Redis
PostgreSQL
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