4 Production Pipelines

Customer Operations

Automate support at scale with AI classification. Route tickets, predict SLA breaches, extract feedback themes, and deflect common queries with RAG-powered self-service — all in real-time streaming pipelines.

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73%

Faster ticket routing

34

Nodes across pipelines

<2s

End-to-end classification

40%

Ticket deflection with RAG

Pipeline 1

AI Support Ticket Router

Automates ticket routing using AI classification. Incoming support tickets are analysed by an LLM Router node that classifies each ticket to billing, technical, or escalation queues — eliminating manual triage and reducing first-response time by up to 73%.

LLM-powered classification

GPT-4o or Claude analyses ticket text, subject, and customer history

Multi-queue routing

Billing, technical, and escalation queues with configurable thresholds

Eliminates manual triage

Reduces L1 agent time spent on routing by 73%

6 nodes

LLM Router

3 output queues

Pipeline Architecture

ticket-source

prompt-template

llm-router

billing-sink

technical-sink

escalation-sink

Pipeline Architecture

ticket-stream

sla-timer-check

filter <4h

breach-predictor

alert-queue

metrics-sink

Pipeline 2

SLA Breach Prediction

Predicts SLA violations before they happen and routes at-risk tickets to priority alert queues. Filters tickets with less than 4 hours remaining on their SLA window and assesses breach probability using historical resolution data and current workload.

Time-aware filtering

Identifies tickets approaching SLA deadline within 4-hour window

AI breach probability scoring

Analyses ticket complexity, queue depth, and agent availability

Priority escalation alerts

At-risk tickets auto-escalated to senior agents with context

9 nodes

Filter + AI Predict

Pipeline 3

Customer Feedback Theme Extraction

Transforms raw NPS and CSAT feedback into structured, actionable insights. Each response is analysed for themes, sentiment, categories, and key quotes — giving product and CX teams a real-time pulse on customer experience.

Multi-dimensional extraction

Themes, sentiment, categories, and direct customer quotes

Structured JSON output

Clean, queryable data ready for dashboards and reports

Real-time NPS streaming

Process feedback as it arrives, not in weekly batch reports

7 nodes

Prompt Template + JSON Extract

Sample Output

// Extracted from NPS response

{

"themes": ["onboarding", "pricing"],
"sentiment": "mixed",
"score": 7,
"category": "product_feedback",
"quote": "Love the product but
setup took too long",
"actionable": true

}

62%

Positive

23%

Mixed

15%

Negative

Two-Pipeline RAG System

Pipeline A: Ingestion

handbook-src

chunker

embedder

pgvector-sink

Pipeline B: Query

question-src

embed-query

vector-search

llm-answer

Knowledge Base Sources

HR Handbook IT Policies Product Docs FAQs

Pipeline 4

FAQ Builder RAG (Knowledge Base)

A two-pipeline RAG system for handbook ingestion and real-time Q&A. Pipeline A chunks and embeds internal documents into pgvector. Pipeline B answers employee questions using vector similarity search and LLM generation — reducing HR and IT support tickets by up to 40%.

Two-pipeline architecture

Separate ingestion and query pipelines for independent scaling

pgvector-backed retrieval

Semantic search over embedded documents for accurate answers

Self-service deflection

Employees get instant answers without opening a ticket

12 nodes total

pgvector + RAG

Return on Investment

Measurable Cost Reduction

Real savings across the support lifecycle.

Manual Ticket Routing

$180K/yr saved

Average L1 agent spends 22 minutes per ticket on classification and routing. AI classification reduces this to under 2 seconds per ticket, saving 3 FTEs annually.

SLA Breach Penalties

68% reduction

Each SLA breach costs $500-$2,000 in penalties and customer churn risk. Predictive routing catches at-risk tickets 4 hours before deadline, cutting breaches by 68%.

Self-Service Deflection

40% deflection

RAG-powered FAQ answers 40% of HR and IT queries instantly without human intervention. At $15 per ticket, deflecting 2,000 tickets per month saves $360K annually.

Automate Your Support Operations

See how these 4 pipelines work with your ticket data. Book a 30-minute walkthrough with our team.

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