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SaaSBeta2 Months Delivery

AssistIQ Support Engine

Intelligent ticket triage and support operations workspace integrating automatic categorization, SLA risk monitoring, and knowledge base retrieval.

The Business Challenge

Fast customer growth overwhelmed the support team with unstructured support tickets, causing SLA breach warnings and inconsistent response quality.

Technical Solution & Architecture

Constructed a high-speed support workspace using Next.js and Python microservices. Integrated intelligent topic classification, priority routing, automated canned response suggestions, and SLA timers.

Architectural Highlights

Microservices architecture isolating API ingestion from ticket processing
WebSocket integration for live ticket lock status avoiding agent collisions
Elastic search index for instant knowledge base matching

Measurable Business Outcomes

Outcome 01

Improved initial customer response time by 51%

Outcome 02

Reduced ticket triage workload by 65%

Outcome 03

Maintained zero SLA breach penalties over 60 consecutive days

Key Features & Capabilities

Real-time incoming ticket stream with sentiment and priority scoring
Agent collision prevention via active session locks
SLA breach warning countdown indicators
Context-aware response suggestions based on verified documentation
Technical Challenge

Maintaining instantaneous search responsiveness across tens of thousands of support histories without high cloud hosting overhead.

Lessons Learned

Pre-indexing support article embeddings and caching frequently accessed responses dramatically lowers processing latency.

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