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AI Assistant

Carbon GPT's AI Assistant provides intelligent support for your sustainability journey, offering instant guidance, data analysis, and actionable recommendations to help you navigate carbon accounting and emissions reduction.

Introduction

The AI Assistant is an advanced natural language interface that allows you to interact with Carbon GPT through conversational queries. It combines the power of large language models with specialized knowledge of carbon accounting, sustainability practices, and your organization's specific emissions data.

Key Capabilities

Instant Guidance

  • Get immediate answers to carbon accounting questions
  • Receive explanations of methodologies and standards
  • Access step-by-step guidance for common tasks
  • Understand regulatory requirements and reporting frameworks

Data Analysis

  • Query your emissions data using natural language
  • Generate instant insights from your carbon inventory
  • Identify trends, anomalies, and patterns
  • Compare performance across time periods and business units

Recommendations

  • Receive personalized reduction recommendations
  • Get suggestions for data quality improvements
  • Discover relevant case studies and best practices
  • Identify optimization opportunities based on your data

Workflow Assistance

  • Get help navigating Carbon GPT features
  • Receive guidance on complex calculations
  • Troubleshoot common issues
  • Automate routine tasks through conversational commands

Getting Started

Accessing the AI Assistant

The AI Assistant is available throughout the Carbon GPT platform:

  1. Global Access: Click the AI Assistant icon in the navigation bar to open the assistant panel from any screen
  2. Contextual Help: Access context-specific assistance by clicking the help icon within specific features
  3. Command Bar: Use the "/" command in any text field to invoke the assistant inline

Setting Up Preferences

Customize your AI Assistant experience:

  1. Navigate to User Settings > AI Assistant Preferences
  2. Configure your preferred interaction style (concise, detailed, technical)
  3. Set up domain-specific preferences (focus areas, industry context)
  4. Enable or disable proactive suggestions

Using the AI Assistant

Asking Questions

The AI Assistant can answer a wide range of questions:

  • General knowledge: "What are Scope 3 emissions?"
  • Methodology: "How do I calculate emissions from refrigerants?"
  • Platform guidance: "How do I create a custom report?"
  • Regulatory: "What are the CSRD reporting requirements?"

Data Queries

Interact with your emissions data through natural language:

  • Simple queries: "What were our total emissions last quarter?"
  • Comparative: "How do our Scope 2 emissions compare to last year?"
  • Analytical: "Which facilities have the highest emissions intensity?"
  • Predictive: "What's our emissions trajectory based on current data?"

Getting Recommendations

Ask for actionable recommendations:

  • Reduction strategies: "What are the top opportunities to reduce our fleet emissions?"
  • Data quality: "How can we improve our Scope 3 data collection?"
  • Best practices: "What are best practices for engaging suppliers on emissions?"
  • Optimization: "How can we optimize our reporting process?"

Using Commands

Streamline workflows with assistant commands:

  • Create resources: "Create a new emission template for our European operations"
  • Generate reports: "Generate a summary report of Q2 emissions"
  • Set up automations: "Set up monthly data quality alerts"
  • Export data: "Export our Scope 1 emissions data to Excel"

Best Practices

Effective Queries

  • Be specific about what you're looking for
  • Provide relevant context for your questions
  • Break complex questions into smaller parts
  • Specify time periods and organizational scope when querying data

Continuous Learning

  • Review and rate assistant responses to improve accuracy
  • Save useful responses for future reference
  • Create custom shortcuts for frequently used queries
  • Provide feedback to help improve the assistant

Team Collaboration

  • Share useful assistant conversations with team members
  • Create team-specific query templates
  • Use the assistant in meetings to answer real-time questions
  • Develop a knowledge base of effective queries