AI Automation

AI automation goes beyond traditional scripts. It combines language models, computer vision, and business rules to make decisions that previously required a human.

How it works

A typical AI automation system has three layers: the data layer (input), the decision layer (AI model), and the action layer (execution). Tools like n8n, Make, or Zapier handle flow orchestration.

Real examples

• Automatic classification of emails and support tickets
• Data extraction from invoices and documents
• Personalized lead response generation
• Competitor monitoring and automatic alerts

When it makes sense

When your team spends more than 5 hours per week on repetitive tasks that follow a pattern. ROI is typically visible within the first 2-4 weeks.