Xchange App

Customer Support Automation

Overview

Xchange was facing a surge in customer support tickets following the rollout of its new mobile app. Manual triage slowed response times and left support agents overwhelmed with repetitive questions about onboarding, card activation, and transaction issues. Orchidea implemented a Human-in-the-Loop Support Orchestration System, integrating conversational AI, workflow automation, and live-agent escalation logic allowing the fintech app to handle thousands of requests per day without compromising accuracy or empathy.

Client:

Xchange

Year:

2025

Category:

Fintech

/

Customer Support

Location:

Russia

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The Challenge

  • Support volume tripled post-launch, with average response times exceeding 18 hours.

  • Agents were spending 60% of their time on routine queries easily solvable via self-service.

  • Escalation paths were unclear, leading to missed SLAs and inconsistent resolutions.

  • Compliance teams required auditable logs of all automated interactions.


The Solution

Orchidea built a hybrid orchestration layer that connected the chatbot, CRM, and ticketing system through an intelligent rules engine:

  1. Intent-Based Routing — The AI model classified messages into 40+ intents (e.g. “card activation,” “KYC issue”) and routed them to either automation or human review.

  2. Dynamic Escalation Triggers — Sensitive or high-value cases (e.g. verification failures, refund disputes) triggered instant HITL handoffs with full context passed to the agent.

  3. Knowledge Syncing — AI continuously learned from resolved human cases to improve future responses while keeping all actions auditable.

  4. Integrated Feedback Loop — CS managers could review edge cases, tag false positives, and update escalation logic without developer input.

This system turned fragmented support into an intelligent, compliant, always-on customer experience.

The Result

Within 60 days, Xchange's support operation transformed from reactive and manual to proactive and data-driven.

0%

of customer queries resolved end-to-end by AI workflows, freeing up human agents for complex, high-touch cases.

0%

of customer queries resolved end-to-end by AI workflows, freeing up human agents for complex, high-touch cases.

0%

of customer queries resolved end-to-end by AI workflows, freeing up human agents for complex, high-touch cases.

0Hrs

average response time reduced from 18 to 6 hours through automated triage, prioritization, and instant routing.

0Hrs

average response time reduced from 18 to 6 hours through automated triage, prioritization, and instant routing.

0Hrs

average response time reduced from 18 to 6 hours through automated triage, prioritization, and instant routing.

0%

escalation accuracy achieved, ensuring compliance-critical cases reached the right human reviewer within SLA.

0%

escalation accuracy achieved, ensuring compliance-critical cases reached the right human reviewer within SLA.

0%

escalation accuracy achieved, ensuring compliance-critical cases reached the right human reviewer within SLA.

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Amanda Ferguson

Team leader

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