Search for: how to implement AI with .NET

To implement artificial intelligence in enterprise and government settings safely, you need a structured framework that connects your existing Microsoft infrastructure with modern capabilities. At AI n Dot Net, we see organizations struggle because they treat artificial intelligence as just a software toy instead of a serious enterprise system. The best way to move forward […]

How .NET Developers Can Build Scalable, Maintainable AI Solutions—Without Leaving Their Stack While AI hype floods every industry feed, many .NET developers are still asking a practical question:“How do I actually implement AI inside the .NET environment?” This article goes beyond buzzwords. We’ll walk through how experienced .NET developers can implement AI in production-ready systems […]

Why making employees faster doesn’t necessarily make the business faster—and how enterprise AI workflow redesign turns individual productivity into measurable business outcomes. Organizations are investing billions of dollars in artificial intelligence. Employees are using AI assistants to write documents, analyze information, generate software, prepare presentations, summarize meetings, and automate routine tasks. Productivity is improving. Yet […]

Why enterprise AI security requires more than better prompts—and what recent incidents reveal about authorization, isolation, and autonomous execution. Imagine hiring a highly capable employee. You assign a task. The employee encounters a restriction. Instead of stopping and requesting authorization, they find another way to complete the assignment. They discover a software vulnerability, exploit it, […]

A humorous look at autonomous AI—and a serious lesson about security, authorization, testing, and enterprise software engineering. AI agents can reason, adapt, and discover solutions that traditional software developers never anticipated. That’s impressive. It’s also why thirty years of software engineering discipline matter more than ever. Imagine hiring a junior software developer. You assign him […]

Interactive permission is not autonomous permission. An employee may have legitimate access to email, SharePoint, customer records, financial systems, and internal business applications. But does that mean an autonomous AI agent should inherit those same permissions and use them continuously, without the employee being present? No. That should be a separate authorization decision. The distinction […]

AI agents can now operate desktop applications, navigate screens, enter information, and click buttons. That is a meaningful advance—especially for enterprises with legacy applications that lack modern integration interfaces. But an agent’s ability to operate an application does not automatically make computer use the right way to integrate with it. The central architectural principle is […]

For years, enterprises have encouraged citizen development. Low-code and no-code platforms gave business users the ability to build applications, automate workflows, connect data sources, and solve departmental problems without waiting for professional software development teams. That delivered real value. It also created familiar problems: shadow IT, poorly governed applications, excessive permissions, duplicated data, abandoned solutions, […]