Features & Capabilities¶
This section provides detailed documentation on platform capabilities, feature architecture, and enterprise AI capabilities.
Overview¶
The features and capabilities documentation covers:
- Platform Capabilities - What the platform can do
- Feature Architecture - How features are designed and implemented
- Enterprise AI Capabilities - AI-specific features for enterprise operations
- AWS Compliance - Well-Architected Framework compliance
Available Documents¶
Capability Architecture¶
Comprehensive architecture documentation covering all platform capabilities, their interactions, and implementation details.
📄 View Capability Architecture
Enterprise AI FAQ¶
Frequently asked questions about the Enterprise AI capabilities, including use cases, limitations, and best practices.
AWS Well-Architected Framework Compliance¶
Documentation of how the platform aligns with AWS Well-Architected Framework principles across all five pillars.
Core Capabilities¶
📞 Call Processing Capability¶
End-to-end call processing including: - Call recording retrieval from Webex CC - Audio file storage and management - Transcription using OpenAI Whisper - Metadata generation and cataloging
🧠 AI Analysis Capability¶
Intelligent analysis of call data: - Sentiment analysis - Topic extraction - Quality scoring - Compliance checking - Actionable insights generation
🚀 Journey Management Capability¶
Workflow orchestration system: - Multi-stage processing pipelines - Job scheduling and execution - Progress tracking - Error handling and recovery
📊 Analytics & Reporting Capability¶
Real-time analytics and insights: - Performance metrics - Call volume analytics - Quality trends - Custom report generation
🔄 WXCC Simulator Capability¶
Testing and development support: - Simulated call data generation - Test scenario creation - Development environment support - Integration testing
🔐 License Management Capability¶
Enterprise licensing system: - License key validation - Feature gating - Usage tracking - Subscription management
🛠️ MCP Tools Capability¶
Model Context Protocol integration: - AI agent integration - Tool-based interactions - Automated workflows - Claude integration
Architecture Diagrams¶
The capability architecture documentation includes detailed diagrams showing:
- Application architecture (
app-arcitechture.png) - Backend service architecture (
backend-service.png) - Backend deployment architecture (
backend-deployment.png) - UI deployment architecture (
ui-deployment.png) - Total solution overview (
Total-solution.png)
AWS Services Utilized¶
The platform leverages various AWS services:
- Compute: ECS Fargate, Lambda
- Storage: S3, DynamoDB
- Analytics: AWS Glue, Athena
- Security: Secrets Manager, IAM
- Networking: VPC, ALB
- Monitoring: CloudWatch
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