Intelligent Support Hub

Continuous updates and 24/7 autonomous resolution engine

System Architecture
©2026 Production Ready

✦ Intelligent Support Hub ⚡

Architecture

Full-Stack & AI

99.99% Uptime

Response Latency

180ms

Zero Bottlenecks

Deployment

Automated CI/CD

SOC-2 Type II

Engineered with Next.js, TypeScript & OpenAI
+34% CSAT
99.4%

Autonomous Resolution

Sub-second
180ms

Average Response Time

$420k saved/yr
72%

Support Cost Reduction

Daily tickets
25k+

Ticket Ingestion Volume

The Challenge

Customer support operations were overwhelmed by repetitive Tier-1 queries, peak season spikes, and high agent burnout. Ticket response times exceeded 4 hours during peak hours, and resolution costs were ballooning without improving customer satisfaction.

The Engineering Solution

Engineered an autonomous 24/7 support copilot utilizing OpenAI LLMs with strict safety guardrails and multi-turn conversational memory. Built an event-driven webhook pipeline that securely queries live order records, shipping APIs, and CRM databases to resolve issues autonomously.

Key Impact & Transformation

Reduced human ticket escalation by 78%, decreased average resolution time from 4 hours to 180ms, and achieved an all-time high 99.4% customer satisfaction (CSAT) rating with zero agent intervention.

Project Architecture & Execution

The Intelligent Support Hub was architected to fundamentally automate customer issue resolution without sacrificing quality or brand voice.

By integrating retrieval-augmented LLM reasoning directly into existing communication channels, the engine classifies intent in 40ms, retrieves relevant policy documents, and performs authenticated API actions like returns, cancellations, and order updates.

Custom safety guardrails actively prevent hallucinations, tone shifts, and unauthorized data leakage while maintaining an empathetic, on-brand conversational flow.

Telemetry dashboards provide engineering and customer success leads with deep real-time visibility into sentiment trajectory, top customer blockers, and automated resolution rates.

The platform continuously self-learns from human agent escalations, iteratively updating its vector knowledge bank to address newly introduced edge cases with zero downtime.

“Syncgence completely transformed our support operations. Over 75% of customer tickets are now handled end-to-end within seconds, while our CSAT reached its highest score in company history.”

E

Elena Rostova

VP of Customer Operations • Aura Commerce

Project Overview

Live in Production
CategoryAI & Machine Learning
Primary Impact99.4% (+34% CSAT)
ArchitectureFull-Stack & AI
Build a Similar System

Project Stack

8 Technologies

Design

Figma• Copilot Console & Chat UIUI/UX Design• Operator Telemetry Design

Frontend

Next.js• Agent Supervisor PortalReact• Live Messaging & Real-Time Stream

Backend

FastAPI• High-Throughput Webhook MicroservicePython• LLM Orchestration & Evaluation

AI / ML

OpenAI GPT-4o• Autonomous Resolution Copilot

Mobile

React Native• Mobile Escalation App

Tags & Disciplines

Next.jsReactTypeScriptFigmaUI/UX DesignFrontend DevelopmentBackend DevelopmentFastAPIPythonOpenAIAI & Machine LearningMobile App