Semantic Kernel

Semantic Kernel & .NET AI: Building Enterprise AI Agents

How GenifySoft uses Microsoft Semantic Kernel, .NET AI, and plugins to ship production-ready AI agents for enterprise clients.

19 viewsSemantic Kernel

What is Semantic Kernel?

Semantic Kernel is Microsoft's open-source .NET AI orchestration framework for building AI agents, copilots, and intelligent workflows. At GenifySoft, we use Semantic Kernel to connect large language models with business systems through plugins, planners, and memory.

Why .NET AI for enterprise

Enterprise teams already invested in C# and .NET gain a familiar path to AI adoption. Semantic Kernel supports Azure OpenAI, local models via Ollama, and structured tool calling - ideal for secure, auditable AI solutions.

  • Plugin architecture for CRM, ERP, and custom APIs
  • Planner and agent patterns for multi-step reasoning
  • Enterprise logging, identity, and deployment on Azure

GenifySoft delivers end-to-end .NET AI solutions - from proof of concept to monitored production agents.

Comments

No comments yet. Be the first to share your thoughts.

Leave a comment

Comments are reviewed before they appear on the article.

FAQ

FAQ - GenifySoft insights & services

Questions readers ask about our articles and services. More answers are collected on the FAQ page.

Engineering notes on software development, AI, cloud, mobile, and modern product delivery from our Stockholm team.

GenifySoft is a complete digital solutions company based in Stockholm, Sweden. We design and build custom software, web and mobile products, AI-powered systems, and growth marketing for ambitious businesses.

Yes. While our headquarters is in Stockholm, we deliver projects for clients across Europe and globally using agile remote collaboration, clear documentation, and regular demos.

GenifySoft’s primary enterprise strength is .NET (C#, ASP.NET Core). We also build with Go, Laravel, Python, Node.js, React, Next.js, Angular, Vue.js, JavaScript, TypeScript, Kotlin, Flutter, Azure, AWS, Docker, Kubernetes, SQL/PostgreSQL, and AI platforms such as OpenAI and Semantic Kernel - chosen to fit your product and team.

MVPs often land in 8–16 weeks depending on complexity. Larger platforms may run in phases. We define milestones upfront so you see working software early and can adjust scope with confidence.

Yes. We offer post-launch support, monitoring, feature iterations, performance improvements, and SLA-based care so your product stays secure and reliable as usage grows.

Looking for something else? Browse all FAQs