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Customer Experience

Customer Support
Autopilot

AI-powered customer support automation with intelligent ticket classification, real-time sentiment analysis, and auto-response generation. Resolve 65% of tickets without human intervention.

65%
Auto-Resolution
< 30s
Faster Response
4.7/5
CSAT Score
80%
Backlog Reduction

The Support Automation Challenge

Customer support teams are overwhelmed by rising ticket volumes, repetitive inquiries, and growing expectations for instant resolution. Organizations face:

60% of support tickets are repetitive L1 inquiries (password resets, order status, FAQs)
Average first response time of 4-8 hours across email and web channels
Agent burnout from handling hundreds of nearly identical conversations daily
Inconsistent response quality across shifts and agent experience levels
Negative customer sentiment escalating due to slow response times
Difficulty scaling support teams during product launches or incidents
Manual Process6 hours avg
Traditional Chatbots3 hours avg
Our Solution30 seconds avg
95%
First Response Time Improvement

Key Features

End-to-end AI-powered customer support capabilities

Ticket Classification

AI-powered categorization of incoming tickets by topic, urgency, and channel using NLP. Auto-detects intent, entities, and context with 96% accuracy.

Sentiment Detection

Real-time sentiment analysis on every incoming message to identify frustrated or angry customers, triggering priority escalation and empathetic responses.

Auto-Response Generation

Context-aware automated responses drafted using Azure OpenAI, leveraging knowledge base articles and past resolution patterns for accurate first-contact resolution.

Escalation Routing

Intelligent escalation based on sentiment score, ticket complexity, SLA deadlines, and agent specialization. Ensures the right agent handles every case.

Knowledge Base Integration

RAG-powered retrieval from your entire support knowledge base using Azure AI Search. Surfaces relevant articles, FAQs, and resolution playbooks in real time.

CSAT Tracking

Automated post-resolution satisfaction surveys with sentiment correlation. Tracks NPS trends and identifies agents and topics driving customer happiness.

Multi-Channel Support

Unified inbox across email, live chat, social media, phone, and SMS. Azure Communication Services routes every channel through a single intelligent pipeline.

Support Workflow

8-step automated process from ticket intake to resolution and insight

1

Ticket Ingestion

Support tickets arrive via email, live chat, social media, phone, or web portal. Azure Event Grid triggers the intake workflow instantly.

Instant
Email parsingChat widgetSocial DMsPhone voicemail
2

Classification

The Classification Agent analyzes content using Azure OpenAI to detect topic, intent, urgency, and customer segment.

< 2 seconds
Topic detectionIntent analysisUrgency scoringSegment tagging
3

Sentiment Analysis

The Sentiment Agent evaluates emotional tone across the message thread. Flags negative sentiment for immediate attention.

< 1 second
Emotion detectionFrustration scoringTrend trackingEmpathy triggers
4

Priority Assignment

Combined classification and sentiment scores determine priority level. SLA timers start based on severity and customer tier.

Instant
Priority matrixSLA mappingTier adjustmentQueue routing
5

Auto-Response or Routing

The Response Agent either resolves the ticket automatically with a generated answer or routes it to the optimal human agent with full context.

< 3 seconds
Response draftingKB retrievalAgent matchingContext handoff
6

Resolution

Ticket is resolved either autonomously or by a human agent. All actions, communications, and resolutions are logged with full audit trail.

Variable
Solution deliveryAction loggingAudit trailStatus update
7

Feedback Collection

Automated CSAT survey sent post-resolution. Sentiment is correlated with resolution quality to identify improvement opportunities.

Post-resolution
Survey dispatchNPS trackingSentiment correlationTrend analysis
8

Analytics & Insights

The Analytics Agent aggregates data across all tickets to surface trends, agent performance, and actionable insights for continuous improvement.

Real-time
Metrics dashboardTrend analysisAgent coachingKB gap detection

Multi-Agent Architecture

Specialized AI agents working in coordinated harmony

Classification Agent

Categorizes every incoming ticket by topic, urgency, and complexity. Uses fine-tuned NLU models to understand customer intent across channels.

  • Topic classification
  • Intent detection
  • Urgency scoring
  • Duplicate detection
  • Channel tagging

Sentiment Agent

Analyzes emotional tone of customer messages in real time. Detects frustration, anger, and urgency to trigger appropriate response strategies.

  • Emotion detection
  • Frustration alerts
  • Empathy scoring
  • Trend monitoring
  • Escalation triggers

Response Agent

Generates context-aware automated responses using RAG from the knowledge base. Handles L1 resolutions and drafts replies for agent review.

  • Response drafting
  • KB retrieval
  • Tone matching
  • Template assembly
  • Quality scoring

Escalation Agent

Manages intelligent escalation workflows based on sentiment, complexity, and SLA. Routes to specialized agents with full context preservation.

  • SLA monitoring
  • Expert routing
  • Context handoff
  • War room setup
  • Manager alerts

Knowledge Agent

Continuously indexes and surfaces relevant knowledge base articles. Identifies KB gaps from unresolved tickets and suggests new content.

  • Article retrieval
  • Gap detection
  • Content suggestion
  • Freshness scoring
  • Usage analytics

Analytics Agent

Aggregates support metrics, tracks trends, and generates actionable insights. Identifies top issues, agent coaching opportunities, and process improvements.

  • Metrics aggregation
  • Trend analysis
  • Agent coaching
  • SLA reporting
  • Root cause analysis

Performance Metrics

Industry-leading support automation and customer satisfaction

< 30s

First Response Time

Average time to first automated response on any channel

65%

Auto-Resolution Rate

Tickets fully resolved without human agent intervention

4.7/5

CSAT Score

Average customer satisfaction rating post-resolution

80%

Ticket Backlog Reduction

Reduction in unresolved ticket backlog within 90 days

3x

Agent Productivity

Increase in tickets handled per agent with AI assistance

98.5%

SLA Compliance

Tickets resolved within committed SLA targets

Use Cases

Real-world customer support automation scenarios

Email Support Automation

Automatically classify, prioritize, and respond to inbound support emails with context-aware AI-generated replies.

Live Chat Routing

Real-time sentiment detection and intelligent routing of live chat conversations to the optimal agent or bot.

Social Media Triage

Monitor and respond to support requests on Twitter, Facebook, and Instagram with brand-appropriate messaging.

FAQ Automation

Self-service FAQ resolution using RAG-powered knowledge retrieval, handling 40%+ of common questions instantly.

Complaint Resolution

Detect negative sentiment early, escalate VIP complaints automatically, and provide empathetic resolution workflows.

Technical Support

Multi-tier technical support with automated L1 diagnostics, guided troubleshooting, and seamless escalation to L2/L3.

Enterprise Integrations

Connect with 50+ support and business tools

Zendesk

Support

Bi-directional ticket sync, agent handoff, and SLA tracking

Intercom

Live Chat

Real-time chat widget integration with conversation history

Freshdesk

Support

Ticket synchronization, automation rules, and agent routing

Salesforce Service Cloud

CRM

Customer context enrichment, case management, and SLA workflows

HubSpot

CRM

Contact sync, ticket creation, and customer journey tracking

Slack

Communication

Internal escalation alerts, team notifications, and approvals

Microsoft Teams

Communication

Agent collaboration, video support, and shift management

Shopify

E-Commerce

Order status, return processing, and e-commerce support

Twilio

Communication

SMS and voice channel integration for multi-channel support

Jira

Project Management

Bug ticket creation, feature request tracking, and developer handoff

GitHub

Development

Issue tracking integration for technical support escalation

Confluence

Documentation

Knowledge base article sync and documentation management

Compliance Frameworks

Built for enterprise regulatory requirements

SOC 2 Type II

Security, availability, confidentiality controls for support data

GDPR

Customer data protection, consent management, right to erasure

ISO 27001

Information security management for support operations

HIPAA

Healthcare customer data privacy and PHI handling

PCI-DSS

Payment card data security for billing-related tickets

CCPA

California consumer privacy rights and data handling

Enterprise Ready

Built for scale, security, and compliance

Security & Compliance

  • Azure AD SSO with SAML 2.0 and OAuth 2.0
  • Role-based access control (RBAC) with custom roles
  • Data encryption at rest (AES-256) and in transit (TLS 1.3)
  • SOC 2 Type II compliant infrastructure
  • GDPR, ISO 27001, HIPAA, and CCPA ready
  • Audit logging with 7-year retention
  • Multi-factor authentication (MFA) required
  • IP allowlisting and network segmentation

Scalability & Performance

  • Auto-scaling from 0 to 1M+ tickets/day
  • 99.9% uptime SLA with multi-region redundancy
  • Global deployment across 60+ Azure regions
  • Multi-tenant architecture with data isolation
  • High availability with active-active failover
  • Disaster recovery with RPO < 5 minutes, RTO < 15 minutes
  • Rate limiting and throttling for API protection
  • Real-time health monitoring and alerting

Transform Your Customer Support

Deploy AI-powered support automation that resolves tickets instantly, keeps customers happy, and scales with your business.

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