AI in ERP

Most conversations start with "Should we use Copilot?" But that's a bit like asking "Should we use software?" The real question is: What outcome are we trying to achieve?  Over the past few months, I've been exploring Microsoft's enterprise AI ecosystem and have found that many people use the terms Copilot , Cowork , and Copilot Studio interchangeably. In reality, they represent three very different layers of value. Copilot helps people do work, Cowork does work on behalf of people, and Copilot Studio enables organizations to build AI agents tailored to their business. Together, they form a progressive AI operating model that moves from productivity, to automation, to enterprise-scale agent development. What I find most interesting is how these capabilities build upon each other. Microsoft 365 Copilot sits closest to the employee, helping create content, summarize discussions, analyze information, and improve day-to-day productivity. Cowork then raises ...

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 -  ...

UDE represents a shift toward treating F&O apps as part of the broader Dynamics 365 and Power Platform ecosystem, simplifying administration and improving productivity. But wait! What if we could take this one step further? What if deploying a UDE‑enabled environment didn’t require building templates in Power Platform Admin Center, exporting JSON, re‑importing configurations, and manually triggering deployments? What if you could simply ask Copilot: “ Deploy a new UDE‑enabled latest release F&O environment for me  in Australia with the name 'Patrick-Dev'. Keep all other settings same as my last sandbox. ” No templates. No PPAC wizard. No repetitive configuration steps. Just a conversational deployment pipeline. No Drama! Introduction Unified Developer Experience (UDE) in the Power Platform Admin Center (PPAC) is a modern approach for developing, testing, and deploying Dynamics 365 Finance and Operations (D365 F&O) applications. It replaces traditional, costly remote...

AI tools and agents are no longer optional. They’ve become embedded in how employees and developers work every day. The question is no longer if your teams will use them- it’s how safely they’ll do it. [Image reference: AI Tools: Navigating the New Professional Landscape by Vicki Reyzelman] The Risk of "Free" AI Tools Organizations must recognize the inherent dangers of allowing employees to rely on publicly available AI platforms such as ChatGPT or Google Gemini. Under the pressure of deadlines and workload, employees may inadvertently copy and paste confidential information into these tools. Proprietary strategies, source code, and intellectual property can be transmitted outside the organization’s secure environment. These disclosures occur silently, without alerts or oversight, leaving leadership unaware until the damage is irreversible. The risk of loss of control is Permanent. Once confidential information enters a public AI model, it cannot be retrieved or contained. C...