How I Create AI Agents with Sulava Use Case Builder (Copilot Studio + Azure Foundry)
In this video, I walk through how I use the Sulava Use Case Builder to go from idea to a working AI agent.
Instead of starting from scratch, you can structure your thinking, define the use case clearly, and then bring it directly into tools like Copilot Studio or Azure Foundry.
Here’s what I cover step by step:
✅ How to define and structure an AI use case
✅ How to use Sulava Use Case Builder to generate your agent logic
✅ How to prepare your use case for implementation
✅ How to import and use it in Copilot Studio
✅ How this connects to Azure Foundry and agent-based solutions
What I really like about this approach is that it makes AI development more accessible — you don’t need to start with code, you start with the problem and the scenario.
This is especially useful if you are:
Exploring AI agents for your organization
Working with Copilot Studio
Designing solutions without deep coding
Trying to scale use case thinking across teams
My goal with this video is simple:
👉 Show how you can move faster from idea → structured use case → working agent
If you're working with AI, Copilot, or agent-based solutions, this is a practical workflow you can start using right away.
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