How AI Orchestration Works: The 3 Layers You Need to Know

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In part two of our AI orchestration series, we move past the definitions and get into how this actually works. Behind every smart, automated system is a coordinated structure made up of three key layers: intelligence, integration, and orchestration.

(If you missed the first part, you can catch up on the basics of AI orchestration here.)

These layers don’t just help your tools work faster. They help your tools work together, which means smoother workflows, better decisions, and less manual intervention across your organization.

What You’ll Learn

• How the intelligence layer understands customer intent and makes decisions
• What powers the integration layer and how it connects your tools
• Why the orchestration layer acts as a project manager for your AI systems
• Examples of how all three layers work together in real business scenarios
• The difference between orchestration and traditional automation

We break it all down with examples from customer service, smart homes, and scheduling workflows. Whether you’re an operator, builder, or buyer, this is the part where the tech starts making sense.

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