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Part 3: Orchestration and enterprise data integration

Bridging the legacy gap | New series: beyond the chatbot

Yael Rozencwajg's avatar
Yael Rozencwajg
Sep 13, 2025
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Part 3: Orchestration and enterprise data integration | Yael on AI
Part 3: Orchestration and enterprise data integration | Yael on AI

So far, we've covered how deep domain understanding gives an agent its expertise and how context engineering provides it with a memory and focus.

But a brilliant agent is useless if it's an island.

The real-world challenge is integration: how an autonomous system connects to and operates within a company's existing ecosystem of data and software.

This is the critical task of orchestration.

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Building an AI agent in a vacuum is a trivial exercise. Building one that works in a live enterprise environment is a monumental undertaking.

This is where orchestration—the choreography of data, tools, and agents—becomes the central challenge.

The agent cannot act as an island; it must seamlessly integrate with a company’s existing software ecosystem.

This new series of articles will explore the four pillars of this new era:

1. Deep domain understanding (the first part)

2. The art and science of context engineering (the previous part)

3. Orchestration and enterprise data integration (this part)

4. Specialized user interfaces and human-in-the-loop design

Read the introduction: https://yaelrozencwajg.substack.com/p/beyond-the-chatbot

My view:

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