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Business Service Analyzer

Overview​

The Business Service Analyzer is an AI-powered feature that automatically discovers, maps, and analyzes business services within your IT infrastructure. It combines software discovery, network analysis, and AI insights to provide a comprehensive view of your critical business services.

Key Features​

  • AI-Powered Service Discovery: Automatically identifies servers, connections, and dependencies based on software and process patterns
  • Multi-Step Wizard Interface: Guides users through service definition, enrichment, discovery, and analysis
  • Intelligent Classification: Uses AI to classify servers by role (web server, app server, database) and tier (frontend, application, data, infrastructure)
  • Visual Service Mapping: Interactive network diagrams showing service topology and dependencies
  • Comprehensive Insights: AI-generated analysis of service architecture, risks, and recommendations

How It Works​

1. Service Definition​

Users start by providing:

  • Service name and description
  • Business category (ERP, Email, Database, etc.)
  • Initial software selection from the catalog

2. AI Enrichment​

The system uses AI to:

  • Suggest additional related software and processes
  • Identify common ports and network patterns
  • Recommend search patterns for discovery

3. Automated Discovery​

Based on enriched data, the analyzer:

  • Searches for servers running identified processes
  • Maps network connections between servers
  • Identifies service dependencies
  • Discovers related infrastructure components

4. Classification & Analysis​

AI classifies discovered components:

  • Server roles (web server, app server, database, etc.)
  • Service tiers (frontend, application, data, infrastructure)
  • Confidence scoring for each classification
  • Service topology mapping

5. Insights Generation​

Comprehensive AI analysis provides:

  • Service architecture overview
  • Business impact assessment
  • Technical analysis (redundancy, scalability)
  • Risk identification
  • Improvement recommendations

Use Cases​

  1. Service Documentation: Automatically document existing services
  2. Dependency Mapping: Understand service dependencies before changes
  3. Risk Assessment: Identify single points of failure
  4. Compliance: Document service architecture for audits
  5. Migration Planning: Understand service components before cloud migration

Benefits​

  • Time Savings: Reduces manual service mapping from weeks to minutes
  • Accuracy: AI-powered discovery finds hidden dependencies
  • Consistency: Standardized service documentation across the organization
  • Risk Reduction: Identifies potential issues before they impact operations
  • Knowledge Capture: Preserves institutional knowledge about services

Technical Architecture​

The Business Service Analyzer integrates with:

  • Network Discovery: Leverages existing scan data
  • CMDB: Creates and links Business Service CIs
  • AI Services: Uses Claude AI for analysis
  • Software Catalog: Matches against normalized software inventory

Data Model​

Business Services are stored as:

  • Configuration Items (CIs) of type "Business Service"
  • AI Insights linked to the service CI
  • Relationships to component servers
  • Custom fields storing discovery metadata

Security & Access​

  • Tenant-isolated data
  • Role-based access control
  • Audit logging of all operations
  • No sensitive data sent to AI services