AI in ERP

Microsoft Foundry is quickly becoming the engineering‑grade backbone for building, deploying, and operationalizing AI systems at scale. Unlike traditional “chatbot builders” or UI‑only agent platforms, Foundry is designed for real developers — people who care about versioning, reproducibility, security boundaries, and clean architecture. At its core, Foundry gives you a unified place to define models, agents, tools, workflows, and evaluations, all backed by Azure’s enterprise‑grade infrastructure. But the real power shows up when you bring Foundry into Visual Studio Code, where everything becomes code‑first, scriptable, automatable, and production‑ready. In this blog, we’ll walk through the setup steps to connect and use your Microsoft Foundry LLm models in VS Code.  Prerequistes: Download and install VS Code -  https://code.visualstudio.com Set up GitHub Copilot in VS Code -  https://code.visualstudio.com/docs/copilot/setup Create a Project for Microsoft Foundry -  ...

Microsoft has just introduced Toolboxes in MS Foundry - a managed, versioned bundle of curated tools that any MCP‑compatible agent can consume through a single endpoint, removing per‑agent wiring, centralizing auth, and enabling safer rollouts What is a Toolbox in MS Foundry Toolboxes in MS Foundry lets you define a reusable set of tools once (APIs, MCP servers, connectors, skills, flows), configure authentication centrally, and expose them through a single MCP‑compatible endpoint that agents discover and call at runtime. This removes duplicated integration code and secret sprawl across agents. Read more on toolboxes here . How do Toolboxes Work? Toolboxes are a named, versioned collection of tools you manage inside Microsoft Foundry and expose through a single MCP‑compatible endpoint. Each toolbox groups tools by namespace; tools can be APIs, MCP servers, connectors, skills, or flows. At runtime an agent points to the toolbox endpoint, discovers available tools, and invokes them. Fo...

Microsoft Copilot Studio and Azure AI Studio are two different products that offer AI-powered solutions for different use cases. Azure AI Studio is a cloud-based service that makes it easy for developers of all skill levels to build AI applications. It provides a single place to do everything you need to build an AI application, including loading data from a variety of sources, preparing it for training, training a model, and deploying the model to production. Azure AI Studio also includes a robust and growing catalog of frontier and open-source models from OpenAI, Hugging Face, Meta, and more that can be applied over your data. You can even compare models by task using open-source datasets and evaluate the model with your own test data to see how the pre-trained model would perform to fit your own use case. Azure AI Studio is a trusted and inclusive platform that empowers developers of all abilities and preferences to innovate with AI and shape the future. In Azure AI Studio, you can...