Build an AI Agent in Copilot Studio: No-Code Guide
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In this Part 1 of the Copilot Studio demo series, learn how to create a custom AI agent using natural language in Microsoft Copilot Studio.
This step-by-step demo covers everything from defining your agent’s purpose to refining its behavior and adding tools. See how easy it is to build a no-code solution to handle specific tasks, like managing service appointments and orders.
Ready for the next step? Continue to Part 2, where we add knowledge and pre-built tools using A365 AI Enablers to make the agent more capable. Watch Part 2: Enhance Your AI Agents →
This tutorial series is part of DriveAI, Annata’s AI adoption programme for automotive, trucks & buses, and equipment businesses. Learn more about DriveAI →
Why no-code AI agent building matters for A365 businesses:
Most AI agent development requires coding skills or custom API integrations. A365 AI Enablers and Microsoft Copilot Studio change that equation. Teams familiar with A365 – service advisors, operations managers, IT administrator can define an agent’s purpose, connect it to live A365 data, and test it in a working environment, all without a developer.
The use case in this video, managing service appointments and orders, is one of the most common starting points for A365 businesses. The same no-code approach applies to warranty review, parts availability queries, rental booking, and field technician dispatch.
Continue your AI agent journey:
– Webinar: Build Your Own AI Agents: A Hands-On Look with A365 AI Enabler & Copilot Studio →
– Talk to our team about getting started →
This step-by-step demo covers everything from defining your agent’s purpose to refining its behavior and adding tools. See how easy it is to build a no-code solution to handle specific tasks, like managing service appointments and orders.
Ready for the next step? Continue to Part 2, where we add knowledge and pre-built tools using A365 AI Enablers to make the agent more capable. Watch Part 2: Enhance Your AI Agents →
This tutorial series is part of DriveAI, Annata’s AI adoption programme for automotive, trucks & buses, and equipment businesses. Learn more about DriveAI →
Why no-code AI agent building matters for A365 businesses:
Most AI agent development requires coding skills or custom API integrations. A365 AI Enablers and Microsoft Copilot Studio change that equation. Teams familiar with A365 – service advisors, operations managers, IT administrator can define an agent’s purpose, connect it to live A365 data, and test it in a working environment, all without a developer.
The use case in this video, managing service appointments and orders, is one of the most common starting points for A365 businesses. The same no-code approach applies to warranty review, parts availability queries, rental booking, and field technician dispatch.
Continue your AI agent journey:
– Webinar: Build Your Own AI Agents: A Hands-On Look with A365 AI Enabler & Copilot Studio →
– Talk to our team about getting started →
