

Copilot Studio with April Dunnam
14 snips Jul 23, 2025
April Dunnam, a Principal Cloud Advocate at Microsoft and MVP alumni, shares her expertise on integrating AI into organizations. She discusses Copilot Studio's role in creating generative AI agents, emphasizing low-code solutions that enhance productivity. The conversation highlights the differences between agentic AI and traditional automation, the importance of user-friendly tools, and the challenges of scaling. April also touches on optimizing costs with Microsoft's token model and the significance of thorough testing for effective AI implementation.
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What is Agentic AI?
- Agentic AI combines large language models with autonomous actions on data and tools to augment work.
- It differs from prompt-based LLM because it can perform tasks without constant human input.
Automate Rigid, Agentify Complex
- Automate rigid, deterministic processes with Power Automate flows.
- Use agentic AI for complex, fuzzy tasks that need LLM decision making.
Use Copilot Studio to Build Agents
- Use Microsoft Copilot Studio to build custom AI agents with low-code/no-code tools.
- It integrates easily with Microsoft 365 Copilot and extends AI capabilities for organizations.