Safety Pro AI Features

AI-powered enhancements for Safety Pro Edition.

Overview

Safety Pro AI adds intelligent automation to safety management:

• Automatic incident classification
• Root cause analysis
• AI-generated checklists
• AI-generated training content
• Predictive analytics

AI Incident Classification

Automatic Category Detection

The AI analyzes incident descriptions and suggests:

• Category: injury, near_miss, hazard, property_damage, chemical, haccp, hygiene, machine_failure
• Severity: low, medium, high, critical
• Confidence Score: 0-100%

Usage

import { classifyIncident } from '@/lib/safety/ai';

const result = await classifyIncident(description);
// Returns: { category, severity, confidence, reasoning }

Heuristic Fallback

If no LLM API key is configured, the system uses intelligent heuristics based on:

• Keyword matching
• Pattern recognition
• Category-specific rules
• Severity indicators

AI Root Cause Analysis

Automatic Root Cause Detection

Analyzes incidents to identify:

• Root causes
• Contributing factors
• Recommended actions
• Confidence levels

Usage

import { generateRootCause } from '@/lib/safety/ai';

const analysis = await generateRootCause(description, category);
// Returns: { rootCause, contributingFactors, recommendedActions, confidence }

AI Checklist Generator

Generate Checklists from Prompts

Create safety checklists automatically based on:

• Category (hygiene, PPE, machine_check, etc.)
• Custom prompt/description
• Industry-specific requirements

Usage

import { generateChecklist } from '@/lib/safety/ai';

const checklist = await generateChecklist(
  "Daily hygiene checklist for food production",
  "hygiene"
);
// Returns: { name, category, items[], description }

Supported Categories

• Hygiene
• PPE (Personal Protective Equipment)
• Machine Check
• Vehicle Check
• Construction Site
• Office Safety

AI Training Generator

Generate Training Content

Create safety training materials automatically:

• Unterweisung: Brief safety briefings
• Schulung: Comprehensive training sessions
• E-Learning: Online training modules

Usage

import { generateTraining } from '@/lib/safety/ai';

const training = await generateTraining(
  "Fire safety procedures",
  "unterweisung"
);
// Returns: { title, description, type, content, keyPoints[], duration }

Configuration

LLM Integration (Optional)

To enable LLM-powered features, set environment variables:

VITE_OPENAI_API_KEY=your_key_here
# OR
VITE_ANTHROPIC_API_KEY=your_key_here

Fallback Behavior

If no LLM key is configured:

• System uses heuristic algorithms
• All features remain functional
• Results are based on pattern matching and rules
• Confidence scores may be lower

Best Practices

1. Review AI Suggestions: Always review AI-generated content before use
2. Combine with Manual Input: Use AI as assistance, not replacement
3. Train the System: Provide feedback to improve heuristics
4. Monitor Confidence: Lower confidence scores may need manual review

Limitations

• Heuristic mode has ~75% confidence
• LLM mode provides higher accuracy (when configured)
• Industry-specific terms may need manual adjustment
• Complex scenarios may require human review