Natural Language to Process API Responses with an AI Agent in Copilot Studio
Share on
In this video, we demonstrate how to use natural language instructions to empower an AI agent to process complex API responses. Using Copilot Studio, we show how a simple, human-readable command can replace traditional, programmatic instructions. You’ll see a practical example where an AI agent retrieves JSON data from Microsoft 365, parses it based on a natural language instruction, and presents the results in a clear, human-readable list.
No code required at any step, the AI agent handles the data retrieval, parsing, and formatting through natural language alone.
This capability is part of DriveAI, Annata’s AI adoption programme for automotive, trucks & buses, and equipment businesses. Learn more about
Why natural language API processing matters for A365 businesses:
A365 connects to external systems through APIs – OEM platforms, IoT sensors, third-party parts suppliers, and Microsoft 365 services. These connections return data in formats like JSON that are readable by machines but not by most business users. Until now, turning that raw API data into something actionable required a developer or a custom script.
This tutorial shows how an AI agent in Copilot Studio can retrieve that data and parse it into a plain-language result using a natural language instruction. A service manager asking about vehicle fault data, a parts manager checking supplier inventory, or a fleet analyst pulling usage logs from Microsoft 365 can get structured answers without waiting for IT.
Learn about DriveAI →
Explore the full AI agent tutorial series →
Talk to our team about AI in your A365 environment →
No code required at any step, the AI agent handles the data retrieval, parsing, and formatting through natural language alone.
This capability is part of DriveAI, Annata’s AI adoption programme for automotive, trucks & buses, and equipment businesses. Learn more about
Why natural language API processing matters for A365 businesses:
A365 connects to external systems through APIs – OEM platforms, IoT sensors, third-party parts suppliers, and Microsoft 365 services. These connections return data in formats like JSON that are readable by machines but not by most business users. Until now, turning that raw API data into something actionable required a developer or a custom script.
This tutorial shows how an AI agent in Copilot Studio can retrieve that data and parse it into a plain-language result using a natural language instruction. A service manager asking about vehicle fault data, a parts manager checking supplier inventory, or a fleet analyst pulling usage logs from Microsoft 365 can get structured answers without waiting for IT.
Learn about DriveAI →
Explore the full AI agent tutorial series →
Talk to our team about AI in your A365 environment →
