Manish Gupta
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AI & AutomationStartups·2025

SwiftDesk

A support ticketing platform with AI-assisted triage for lean, fast-scaling support teams.

ⓘ Fictional demo case study — created for portfolio demonstration purposes only.
SwiftDesk product screenshot

Timeline

10 weeks

Industry

Startups

Tech Stack

PythonFastAPIReactPostgreSQLRedisDockerAWS

90%

Triage Time Saved

-62%

First-Response Time

97%

SLA Adherence

Overview

SwiftDesk targets fast-growing startups whose support volume was outpacing their small support team. We built a helpdesk ticketing platform with AI-assisted triage that routes and prioritizes incoming tickets automatically.

The Challenge

Support tickets arrived from multiple channels with no consistent prioritization, and a two-person support team was manually reading and routing every single ticket before it reached the right responder.

The Solution

We built a ticketing platform that classifies incoming tickets by urgency and topic using a language model, automatically routing them to the right queue and suggesting response templates for common issues. A unified inbox merges email, chat widget, and social channel messages into one queue.

Key Features

  • AI-assisted ticket classification by urgency and topic
  • Automated routing to team-specific queues
  • Suggested response templates for common issue types
  • Unified inbox merging email, chat, and social channels
  • SLA tracking with breach warnings
  • Customer satisfaction survey automation on ticket close

Results

  • Cut manual ticket triage time for the support team dramatically
  • Reduced average first-response time across all channels
  • Improved SLA adherence through automated breach warnings
  • Kept support headcount flat despite rising ticket volume

Gallery

Demo quote
“Our two-person support team was drowning before this. Now tickets land in the right queue automatically, and we actually hit our SLAs.”
Ingrid Solberg — Head of Customer Support, SwiftDesk (used internally at Nimbus Analytics)