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Enterprise Automation • Active

Aegis: Support

AI-powered ticket classification, sentiment analysis, auto-response generation, and intelligent escalation routing.

Live system: Real-time ticket processing pipeline with sentiment analysis and intelligent routing. RAG-powered knowledge retrieval enables accurate auto-responses while main…

65%
Auto-Resolution
< 30s
Response Time
4.7/5
CSAT Score
80%
Backlog Reduction
Free 20-min discovery + 48h ROI audit Production-grade, not a demo3 weeks to first value
✓
✓
✓
Knowledge base indexed >10k articles • Confidence threshold for auto-responses • Borderline flagged
Why this vs status quo
Do nothing
65% lost
Manual Enterprise Automation
Build in-house
6–12 months
Hire + maintain
Aegis
< 30s
Weeks, not months
Ticket Classification • Sentiment Detection
Save ~10×

What ships

  • Ticket Classification — AI-powered categorization of incoming tickets by topic, urge…
  • Sentiment Detection — Real-time sentiment analysis to identify frustrated customer…
  • Auto-Response — Context-aware automated responses using RAG from knowledge b…
  • Escalation Routing — Intelligent escalation based on sentiment, complexity, SLA d…
  • Knowledge Base RAG — RAG-powered retrieval from your entire support knowledge bas…
  • CSAT Tracking — Automated satisfaction surveys with sentiment correlation an…

Human signs every critical step • Audit trail included

Sample output & architecture

Aegis — Production Blueprint
Dated 18 Aug 2026 • #AEG-2026-041
Auto-Resolution: 65%Response Time: < 30sCSAT Score: 4.7/5Enterprise Automation
Agents
Classification Agent • Sentiment Agent • Response Agent
Stack
Azure AI Foundry, Azure AI Search, Azure Communication Services, Python
Workflow preview
1. Ticket Ingestion2. Classification3. Sentiment Analysis4. Priority Assignment
Data flow: Ticket Intake → Classification → Sentiment Analysis → Priority Assignment → Response Generation → Quality Check → Delivery
Azure AI Foundry + LangChain • Azure AI Foundry enables fast NLP model deployment. LangChaiv1.0 • Audit trail

Why Azure AI Foundry + LangChain wins

Azure AI Foundry enables fast NLP model deployment. LangChain's RAG patterns simplify knowledge base integration for accurate responses.

Alternatives: Zendesk AI + Custom ML, Salesforce Einstein + LlamaIndex

How Aegis works — Instant to first value

Ticket Ingestion → Classification → Sentiment Analysis → delivery. Full 8-step trail collapses below.

01 • Instant
Ticket Ingestion
Support tickets arrive via email, chat, social, or phone.
02 • < 2 seconds
Classification
AI detects topic, intent, urgency, and customer segment.
03 • < 1 second
Sentiment Analysis
Evaluate emotional tone and flag negative sentiment.
Full 8-step audit trail
1
Ticket Ingestion • Instant
Support tickets arrive via email, chat, social, or phone.
2
Classification • < 2 seconds
AI detects topic, intent, urgency, and customer segment.
3
Sentiment Analysis • < 1 second
Evaluate emotional tone and flag negative sentiment.
4
Priority Assignment • Instant
Determine priority based on classification and sentiment.
5
Response or Routing • < 3 seconds
Auto-resolve or route to optimal human agent with context.
6
Resolution • Variable
Ticket resolved with full audit trail.
7
Feedback Collection • Post-resolution
Automated CSAT survey with sentiment correlation.
8
Analytics • Real-time
Aggregate data for trends, performance, and insights.

Which Enterprise Automation use case is yours?

Tap your model — see the exact hinge we test.

Email Support

Automatically classify, prioritize, and respond to inbound support emails.

Do nothing
65% wasted
  • • Manual Enterprise Automation process
  • • No audit trail
  • • No evidence for inspector/investor
Build in-house
6–12 months • Hire team
  • • Hire + train + maintain
  • • No re-run if product changes
  • • Hard to show investor quickly
Aegis — < 30s
8 steps • Agents • Evidence
  • Ticket Classification
  • Sentiment Detection
  • Daily watch + re-run

Multi-agent mesh — orchestrated

Live system presentation

Aegis · Agent Mesh

ORCHESTRATOREnterprise AutomationClassificationACTIVESentimentNODE 02ResponseNODE 03EscalationNODE 04AnalyticsNODE 0512345678
Step 1Instant

Ticket Ingestion

Support tickets arrive via email, chat, social, or phone.

Email parsingChat widgetSocial DMsPhone voicemail

Objections, answered

If it’s not answered, you’ll hesitate. So we answer it here.

AI-powered ticket classification, sentiment analysis, auto-response generation, and intelligent escalation routing. Delivered as 5 specialized agents + 8-step workflow. You get Ticket Classification + Sentiment Detection and a dated evidence trail.
Production in 3 weeks • Audit trail

Get Aegis live — without the Enterprise Automation drag.

AI-powered ticket classification, sentiment analysis, auto-response generation, and intelligent escalation routing.… Implementation: Knowledge Base → Classification System → Response Generation → Analytics & Optimization.

Questions? Talk to a human • Responses in < 24h • Human signs every critical step

Evidence + audit trail•Azure AI Foundry + LangChain•Deterministic — LLM only for rationale