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Integrate Semantic
Kernel into Code

At Webority Technologies, we leverage Semantic Kernel (SK) to seamlessly integrate Large Language Models (LLMs) with traditional programming languages like C# and Python. We create "skills" and "plugins" that empower LLMs to call existing enterprise APIs, services, and logic, ensuring complex, real-world tasks are executed reliably and securely within your existing architecture.

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Tailored  AI Frameworks Built For Enterprise Scale

Semantic Kernel is an open-source framework developed by Microsoft that acts as a lightweight SDK for integrating generative AI capabilities into conventional applications. It allows developers to abstract LLM interactions into "semantic functions" and "native functions" (plugins/tools), enabling AI to interact with external data, perform calculations, and execute complex logic. It focuses on enterprise-grade development, security, and integration with the Microsoft ecosystem.

Smart AI Solutions that Engage and Deliver

From compliance bots to onboarding flows built for real enterprise impact.

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C# Financial Advisor Bot

Capable of executing trades via a secure, exposed API.

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Internal IT Support Agent

That can check system logs, create tickets, and run diagnostic scripts.

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Automated Compliance Review

where the AI reads documents and cross-references them against internal APIs.

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Personalized Employee Onboarding

Workflows managed by a multi-step SK planner.

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Generative App Migration

From a prototype to a production-ready .NET core application.

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Technology Stack

Semantic Kernel integrating Azure OpenAI, enterprise APIs, and vector databases.

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Custom AI SERVICES,  Built Just for You

Orchestrators, skills, and plugins crafted to fit your ecosystem perfectly.

AI-Powered Orchestrators

Using the SK Planner (the central orchestrator) for multi-step workflow automation.

Enterprise AI Plugins/Skills

To securely expose company APIs and logic to LLMs.

Custom C#/.NET

Applications with integrated GenAI features.

Secured Chatbots

Tool-Calling Agents utilizing pre-defined functions.

Extensive Integrations

Seamlessly connects to various vector stores, databases, and popular LLM provides.

Our Journey of Making Great Things

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How We Build Systems That Perform

From concept to code—scalable, governed, and Microsoft-native.

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Native
Interoperability

Deep integration with traditional languages like C#, Java, and Python for enterprise use.
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Microsoft Ecosystem

Optimized for deployment and governance within Azure AI Services and the broader Microsoft stack.
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Extensible &
Flexible

Supports various LLMs and vector databases, preventing vendor lock-in.
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Plugin Architecture

Easy creation of reusable skills/plugins that connect LLMs to existing systems and APIs.
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Planner Capabilities

lows the AI to autonomously sequence multiple steps (skills) to achieve user goals.

What Our Clients Say About Us

Any More Questions?

Semantic Kernel uses controlled skill/plugin bindings, allowing developers to explicitly define what APIs an LLM can call, preventing unauthorized or unsafe operations.

Yes. SK’s Planner and plugins can sequence AI steps along with standard .NET/C# logic, enabling hybrid automation workflows.

No. While optimized for Azure, SK supports multiple LLMs, vector stores, and cloud environments, avoiding vendor lock-in.

The SK Planner decomposes a goal into actionable steps, selects appropriate skills, and executes them sequentially with context tracking.

Yes. SK acts like a lightweight SDK, allowing you to add AI capabilities into existing applications without major architectural changes.