Microsoft AI Agent: Automate ANYTHING!

Microsoft just dropped something crazy. You can now build AI agents that automate your entire business. I'm talking emails, sales calls, inventory management, customer support, all running on autopilot while you sleep. No coding required, but powerful enough for enterprise companies. I'll show you three real agents I built in under 10 minutes that could replace entire departments. I've been testing AI tools for years now. But what Microsoft just released with Azure AI Foundry is different. This isn't another chatbot rapper. This is the real deal for automating actual business operations. And I'm going to show you exactly how to build three agents today that could save you 20 hours a week minimum. First agent handles all your sales calls and bookings automatically. Second agent manages your entire inventory and reorders stock before you run out. Third agent creates daily business reports and posts updates to your team. All of this running 24/7 without you touching anything. And here's the crazy part. Microsoft just added over 1,900 AI models to choose from. You're not locked into one system. You can pick exactly what works for your business. Now, before I show you how to build these, let me explain

what Azure AI Foundry actually is. Because most people think this is just another Copilot thing. It's not. Copilot is for clicking buttons and basic tasks. Azure AI Foundry is for building real agents that can access your data, use tools, and make decisions. Think of it like this. Copilot is a calculator. Azure AI foundry is a full accounting department that knows your books inside and out. Platform gives you everything you need to build professional agents. You get access to models like GBT4, Claude, Lyama. You can ground these agents in your actual company data using rag technology. That means your agent knows your products, your customers, your processes. It's not just making stuff up. And you get enterprise security, which matters if you're handling real customer information. Here's what makes this perfect for business owners. You can start in a playground with zero code. Just type instructions like you're talking to a human employee. Then when you're ready to scale, you can move to Python, Net, JavaScript, or Java. The same agent works everywhere. You're not rebuilding from scratch. Microsoft designed this so you can go from idea to production in days, not months. Let me

show you the portal real quick. You go to aure. com and create a new project. Projects keep everything isolated so you can test without breaking your live systems. Inside the project, you deploy a model. I'm using GPT40 for these demos because it's fast and smart. Then you build your agent in the playground. You give it instructions, add tools, and test it right there. Once it works, you can deploy it to production with one click. Now, before I show you how to build these three agents live, let me tell you about the AI Profit Boardroom. If you're watching this video, you clearly understand the power of AI automation. But here's the thing. Most people learn about these tools and then never actually implement them in their business. That's where the AI Profit Boardroom comes in. We show you exactly how to use tools like Azure AI Foundry to automate your actual business operations. We're talking step-by-step guides for building agents that handle your sales, your customer support, your content creation, your data analysis, everything. You get access to templates, workflows, and a community of business owners who are already doing this successfully. So, if you want to learn how to save time and automate your business with AI tools like Azure AI Foundry, check out the AI Profit Boardroom. link is in the description. All right, let's build these agents.

Now, let me build the first agent live. This is a client booking agent for the AI profit boardroom. Right now, we get dozens of leads every week asking about our AI automation community. Most need qualification before we book a call. Are they a good fit? Do they run a business? Are they serious about AI? This agent handles all of that automatically. I'm in the playground now. I'm going to give this agent clear instructions. You are a sales qualification agent for the AI profit boardroom. When someone emails asking about membership, you check three things. One, do they run a business or have decision-making power? Two, are they interested in AI automation specifically? Three, are they ready to invest time in learning? If yes to all three, check Julian's calendar and book a 15-minute intro call. If no, send them to our free AI success lab instead. Always be friendly and helpful. Now, I'm adding tools. First tool is email integration, so it can read incoming messages and reply. Second tool is calendar access. So it can check availability and book slots. Third tool is our CRM connection. So it logs everything. These tools let the agent actually take action instead of just chatting. Let me test it. I'm sending a fake email. Hi, I run a marketing agency and want to learn how AI can automate my client reporting and outreach. Can I talk to someone? Watch what happens. The agent reads the email, sees they run a business, sees they want automation, checks the calendar, finds an open slot tomorrow at 2 p. m. Sends a reply. Thanks for reaching out. I can see you're running a marketing agency and interested in AI automation. That's exactly what we help with in the AI profit boardroom. I've booked you for a 15-minute intro call tomorrow at 2 p. m. You'll get a calendar invite shortly. Looking forward to it. That entire process took 3 seconds. Compare that to a human who needs to read the email, think about it, check the calendar, write a response, send the invite. That's 10 minutes minimum. This agent can handle hundreds of these per day. Now, imagine you're getting 50 leads a week. That's 500 minutes saved over eight hours every single week. That's a full workday you get back just from this one agent. And here's what most people miss. This agent gets better over time. You can add evaluations that check if it's booking qualified leads. If it starts booking people who aren't good fits, you adjust the instructions. The agent learns from your feedback. It's like training an employee, but way faster. All right, let me show you the

second agent. This one manages inventory for the AI profit boardroom. We sell courses, templates, and resources. We need to know when stock is low so we can create more content before we run out. Right now, someone manually checks this every week. Huge waste of time. I'm building this agent with rag technology. That means I'm uploading our inventory data directly to the agent. Current course enrollments, template download counts, resource usage stats. The agent can read all of this and make smart decisions. Here are the instructions. You are an inventory management agent for the AI profit boardroom. Check course enrollments daily. If any course is approaching capacity, alert the team to create overflow sessions. Check template downloads weekly. If any template is downloaded more than 100 times, create similar templates to meet demand. Check resource usage monthly. Flag any resources that are underperforming so we can improve or remove them. Now I'm adding tools. First tool is our database connection so it can pull real numbers. Second tool is a notification system so it can alert the team on Slack. Third tool is a forecasting model that predicts trends based on past data. This is where it gets powerful. The agent isn't just reacting. It's predicting problems before they happen. Now imagine you're running an e-commerce store. This same agent could track product inventory, predict stockouts, automatically reorder from suppliers, and alert you about trending products, all without you checking spreadsheets every day. That's the power of grounding an agent in your real business data. Let me build the

third agent real quick. This one creates daily reports for the AI profit boardroom team. Every morning, we need to know what happened yesterday. New members, course completions, support tickets, community engagement. Right now, someone spends 30 minutes pulling this data and writing it up. This agent does it in 30 seconds. Instructions are simple. You are a daily reporting agent for the AI profit boardroom. Every morning at 8 a. m., pull data from the past 24 hours. Include new member signups, course completion rates, open support tickets, and top community posts. Format this into a clear report and post it to the team Slack channel. If any metric is down more than 20% from the previous week, flag it as a priority item. I'm adding tools for database access, Slack posting, and data visualization. This agent can create actual charts and graphs, not just text. Let me run a simulation. The agent pulls yesterday's data, formats it into a clean report. It creates a bar chart showing the week-overweek comparison. Then it posts everything to Slack. The team sees it the moment they start work. These three agents alone save 30 hours per week minimum. The booking agent saves 8 hours. The inventory agent saves 12 hours. The reporting agent saves 10 hours. That's almost a full-time employee. And we built all three in under an hour total. Now, let me talk

about scaling this up because one agent is cool, but multiple agents working together is when things get wild. You can chain agents to handle complex workflows. For example, your booking agent qualifies a lead and books a call. That triggers your prep agent to research the lead's company and create a brief that triggers your follow-up agent to send a calendar invite with pre-all materials. All of this happens automatically while you're doing other things. Microsoft calls this multi- aent orchestration. You're basically building a virtual team where each agent has a specific job and they all communicate with each other to get work done. This is how you scale from saving hours to saving entire work days. I've seen businesses use this to handle customer support, content creation, data analysis, and sales outreach all at the same time. Security-wise, you can bring your own storage. Your data stays in your Azure account. Microsoft doesn't train their models on your information. You can set up role-based access control so only certain people can modify agents and everything is logged for compliance. If you're in healthcare, finance or any regulated industry, this actually works for you. All right, so here's what you

should do after watching this video. Go to aasure. com right now. Create a free account, set up your first project, deploy GPT40, and build a simple agent. Even if it's just something that answers questions about your business, get your hands dirty with the technology. That's the only way to really understand what's possible. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab links in the comments and description. You'll get all the video notes from there, plus access to our community of 38,000 members who are crushing it with AI. We have step-by-step guides for building agents, templates you can copy, and live support when you get stuck. It's completely free. No credit card required, just pure value to help you automate your business with AI. Microsoft just handed you the keys to automate your entire operation. Most people will ignore this. They'll keep doing things the old way, but you're not most people. You're watching this video, which means you get it. You understand that AI agents are the future of business operations. So, go build your first agent today. I promise you'll be amazed at what's possible. And if you have questions, drop them in the comments. Julian Goldie reads every single one and we'll help you out. That's it for today. Thanks for watching. I'll see you in the next video with more AI updates that will help you work smarter, not harder.