SIMPLE AI IMPLEMENTATION ASSETS BY PHASE - larralapid/finds GitHub Wiki
SIMPLE AI IMPLEMENTATION ASSETS BY PHASE
Phase 1: Assessment & Readiness
1. Quick Assessment Form Generator
Implementation:
- Uses GPT API to generate customized assessment questionnaires
- Simple form interface with predefined templates
- Automated scoring system using basic rules
Technical Requirements:
- Form creation tool (e.g., Microsoft Forms)
- Basic API integration
- Simple scoring logic
Value: Reduces assessment creation time by 70%
2. Implementation Checklist Generator
Implementation:
- AI generates contextualized checklists from standard templates
- Simple input interface for context parameters
- Exports to common formats (PDF, Excel)
Technical Requirements:
- GPT API integration
- Basic document template system
- Simple export functionality
Value: Creates customized checklists in minutes vs hours
Phase 2: Foundation Setup
1. Meeting Schedule Optimizer
Implementation:
- AI analyzes time zones and team availability
- Suggests optimal meeting slots
- Generates calendar invites
Technical Requirements:
- Calendar API integration
- Simple time zone calculation logic
- Basic scheduling interface
Value: Reduces scheduling conflicts by 60%
2. Process Template Generator
Implementation:
- AI customizes standard process templates based on team inputs
- Simple template library
- Basic document generation
Technical Requirements:
- Document template system
- GPT API for customization
- Basic file handling
Value: Reduces template creation time by 75%
Phase 3: Implementation
1. Daily Update Summarizer
Implementation:
- AI summarizes daily standup notes and updates
- Simple input form for updates
- Automated summary distribution
Technical Requirements:
- Basic text processing
- Email integration
- Simple web form
Value: Saves 30 minutes per day in update compilation
2. Documentation Generator
Implementation:
- AI creates basic documentation from templates
- Simple input forms for context
- Standard format outputs
Technical Requirements:
- Document template engine
- GPT API integration
- Basic file handling
Value: Reduces documentation time by 65%
Phase 4: Optimization & Scale
1. Performance Report Generator
Implementation:
- AI creates performance reports from simple metrics
- Basic data input forms
- Standard report templates
Technical Requirements:
- Simple analytics logic
- Report template system
- Basic visualization tools
Value: Reduces reporting time by 70%
2. Feedback Analysis Tool
Implementation:
- AI analyzes text feedback for key themes
- Simple feedback collection form
- Basic theme visualization
Technical Requirements:
- Text analysis API
- Simple form interface
- Basic charting
Value: Reduces feedback analysis time by 80%
Common Characteristics:
- Uses existing AI APIs
- Minimal custom coding
- Simple user interfaces
- Standard templates
- Basic integration requirements
- Clear, immediate value delivery