Management Consulting Ontology

Comprehensive domain knowledge for management consulting and professional advisory firms.

Overview

The Consulting ontology provides AI agents with deep understanding of:

• Engagement management and delivery
• Client relationship management
• Project scoping and estimation
• Knowledge management and insights
• Resource allocation and staffing

Key Entities

Entity	Description	Attributes
Engagement	Client project	Type, Status, Duration, Value
Deliverable	Work product	Type, Due Date, Status, Owner
Consultant	Team member	Level, Skills, Availability, Rate
Client	Service recipient	Industry, Size, Relationship, History
Proposal	Service offering	Scope, Budget, Timeline, Status

Common Workflows

Engagement Lifecycle

graph LR
    A[Lead] --> B[Proposal]
    B --> C{Approved?}
    C -->|Yes| D[Kickoff]
    C -->|No| E[Follow-up]
    D --> F[Delivery]
    F --> G[Close-out]

Knowledge Capture

• Project documentation and insights
• Methodology development
• Case study creation
• Best practice identification
• Internal knowledge sharing

Regulatory Compliance

Regulation	Scope	Key Requirements
Confidentiality	Client data	NDAs, data protection
Independence	Audit clients	Conflict of interest management
Professional Standards	Service delivery	Quality control, ethics
Labor Laws	Employment	Time tracking, contractor compliance

Prompt Templates

Proposal Development

Create a proposal section for {service_area}:
- Client: {client_name}
- Challenge: {business_problem}
- Duration: {estimated_timeline}

Include approach, deliverables, team composition,
and value proposition based on our methodology.

Research Synthesis

Analyze these research findings:
- Industry: {industry}
- Topic: {research_topic}
- Sources: {data_sources}

Synthesize key insights, implications for {client},
and recommended actions based on best practices.

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This ontology is continuously updated based on industry developments and consulting methodologies.