Build Agents That Drive Faster Outcomes: Best Practices From Microsoft Partners
Summary
Microsoft partners share best practices for building agentic AI solutions on the Azure stack. They emphasize starting with the right use case, automating internal processes, and securing executive buy-in. The video highlights the importance of not working alone and connecting with a Microsoft partner for guidance. It offers insights into what experts have learned about successful AI agent development.
Why it matters
This video focuses on practical application and adoption of AI agents, specifically within the Microsoft ecosystem. It targets businesses looking to automate processes and leverage AI, a key area for all frontier labs. By featuring partner experiences, Microsoft demonstrates real-world value and encourages ecosystem engagement. Competitors like Google Gemini and Anthropic also emphasize enterprise solutions. Future developments will likely show more specific use cases and integration strategies as agentic AI matures.
Related: OpenAI: How AI-native companies turn workflows into operating capability · Google: Agent and Model Evaluations in Gemini Enterprise Agent Platform are now GA · Anthropic: Claude Fable 5.1 runs the forecast overnight · Meta: An Organizational Second Brain: Building an AI That Learns From Experts · xAI: OpenAI Cut Off a Billion-Dollar Customer to Avoid Elon Musk
Rated low: routine. Worth knowing, not worth rearranging your day for.
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Questions people ask
- Where should I start with agentic AI?
- Start by identifying internal processes worth automating and securing executive buy-in. It is recommended not to start alone and to connect with a Microsoft partner.
- What is emphasized for building AI agents?
- Microsoft partners emphasize building on the Microsoft stack and choosing the right use case. They share what they have learned from their experiences.
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Page generated Sep 3, 2026. Summaries are Subvolts' own; the story belongs to Microsoft Azure on YouTube.












