AI is no longer futuristic it’s here, and it’s practical. Microsoft’s Copilot & AI Stack is a framework that empowers businesses to extend existing copilots, create custom copilots, and innovate with AI automation. Let’s break it down in simple terms with real-world scenarios.
What is the Copilot & AI Stack?
Think of it as a toolbox for AI innovation. It
combines Microsoft Copilot, Azure AI services, and developer tools like Copilot
Studio, Visual Studio, and GitHub to make AI accessible and
secure.
Three Big Goals
1. Extend Microsoft Copilot
Customize Microsoft Copilot for your organization.
Example: Add a custom command in Teams Copilot to pull live project
updates from your ERP system.
2. Build Your Own Copilot
Create a unique copilot using developer tools.
Example: A furniture company builds a copilot that helps sales teams
generate quotes by pulling BOM and pricing from Business Central.
3. Innovate and Automate with AI
Use AI to automate repetitive tasks.
Example: Automate invoice matching in Accounts Payable using AI models
hosted on Azure.
The Technology Layers (Powered by Azure)
- AI
Platform: The brain large language models and cognitive services.
Example: GPT-based model that answers, “Show me pending purchase orders.” - App
Services: Connect AI to apps and workflows.
Example: Integrate AI with Dynamics 365 or your custom ERP. - Data
Services: Manage and analyze data for smarter AI.
Example: Pull historical sales data to predict demand. - AI
Infrastructure: The backbone - compute, storage, and networking.
Example: Azure GPUs powering real-time recommendations.
Why It Matters
- For
Developers: GitHub and Visual Studio make building copilots easy.
- For
Businesses: Faster decisions, less manual work, smarter automation.
- For
Everyone: AI that respects privacy, safety, and security.
Real-World Scenarios
- Retail:
AI copilot for inventory forecasting.
- Finance:
Automating compliance checks.
- Manufacturing:
AI-driven production planning.
- HR:
Copilot that answers employee queries about policies.
Stay tuned, we'll talk more about Declarative agents in the coming blogs
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