Modern Integration Patterns for AI Systems

As artificial intelligence becomes increasingly central to enterprise systems, the patterns we use to integrate AI capabilities need to evolve. This post explores modern approaches to AI integration that balance innovation with reliability.

The Challenge of AI Integration

Integrating AI into enterprise systems presents unique challenges:

• Handling model uncertainty
• Managing computational resources
• Ensuring system reliability
• Maintaining data quality

Key Integration Patterns

1. The Prediction Service Pattern

interface PredictionService {
  predict<T>(input: PredictionInput): Promise<PredictionResult<T>>;
  getConfidence(): number;
  retrain(data: TrainingData): Promise<void>;
}

2. The Fallback Pattern

class AIServiceWithFallback {
  async process(input: Input): Promise<Result> {
    try {
      return await this.aiService.process(input);
    } catch (error) {
      return this.fallbackService.process(input);
    }
  }
}

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