Abp Framework Development Team for a medical technology company in Taiwan
How Facile Technolab helped Medical Device CTO Reduced Diagnostic Errors by 25% with Custom SaaS on Blazor & Azure.
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Facile Technolab builds AI agents on Microsoft Agent Framework, Microsoft's unified SDK that replaced AutoGen and Semantic Kernel as the supported path for production agents, with matching concepts across .NET and Python. Our developers work within the Microsoft .NET and Azure ecosystem we've operated in for 10+ years, embedding agents directly into ASP.NET Core applications rather than standing up a separate Python service. Based in India, serving clients in the US, Canada, Australia, and Europe.
If you have evaluated agent frameworks before, here is how it fits in: rather than choosing between Semantic Kernel's enterprise integration strengths and AutoGen's multi-agent orchestration strengths, Microsoft Agent Framework combines both into one SDK. For teams already invested in .NET and Azure, the practical effect is that agent development uses the same language, the same dependency injection patterns, and the same identity and security model as the rest of an ASP.NET Core application - rather than requiring a parallel Python stack maintained by a different part of the team.
| Agent framework | Microsoft Agent Framework (successor to AutoGen and Semantic Kernel) |
|---|---|
| Language | C# / .NET 8+ |
| Backend | ASP.NET Core, Minimal APIs |
| AI services | Azure AI Foundry, Azure OpenAI Service |
| Identity | Microsoft Entra Agent ID, Entra ID (Azure AD), OAuth 2.0 |
| Orchestration | Multi-agent workflows, tool calling, structured output |
| Data & retrieval | Azure AI Search (RAG), Azure SQL, Cosmos DB |
| Observability | Azure Monitor, Application Insights, agent-level audit logging |
| Governance | Microsoft Purview integration for regulated industries |
| DevOps | Azure DevOps, GitHub Actions, Docker |
For teams validating whether agentic AI fits a specific workflow before committing further. We scope one well-defined use case, build a working pilot, and give you a direct assessment - including where it isn't a good fit yet.
One developer working exclusively on your agent development, integrated into your team's tools and processes. Best for ongoing agentic feature work as part of a continuing product roadmap.
One or more developers embedded into your existing team and sprint cadence, rather than working as a separate unit - useful when agent development needs to sit alongside ongoing application work your team is already doing.
A defined agent capability with fixed price and timeline, for teams that know what they need built.
Tell us about the workflow or process you're looking to automate, and what "working" looks like for it.
We give you a direct read on whether an agent is the right approach — including the honest limitations — and what it would take to build.
Talk directly with the developer who would work on it before committing to anything.
Start with a scoped pilot or initial sprint against a real, defined deliverable.
Microsoft Agent Framework itself is new. What isn't new is the engineering it's built on:
This is deliberately framed as adjacent experience feeding into new work, not manufactured Agent Framework history.
You get a team that already knows your stack, not one learning it alongside the AI work Most agencies building on Microsoft Agent Framework come from a Python-first background. We're .NET and Azure-native first, applying that to agents - not the reverse.
You get agents that live inside your application, not a bolted-on separate service Built inside your existing ASP.NET Core codebase and deployment pipeline, using the identity and security model you already have.
You are not sold a track record that doesn't exist We'll tell you plainly that Agent Framework itself is new industry-wide, and show you what we do have - deep .NET/Azure engineering and real AI integration work - rather than overstating specific framework experience.
You get developers who will tell you when an agent isn't the answer Some workflows need a simpler integration, not agentic AI. We'll say so.
You are not locked in before you've seen the work A scoped pilot, evaluated against a real deliverable, comes before any longer-term commitment.
Every agent we build runs inside an ASP.NET Core application. If you need the application itself built or extended alongside the agent layer, this is the team doing both.
The backend foundation Microsoft Agent Framework runs on for our clients - full-stack ASP.NET Core development beyond just the agent layer.
Azure AI Foundry, Azure OpenAI Service, and Entra ID all sit on Azure infrastructure. If your broader Azure environment needs work beyond the agent itself, we cover that too.
Many agent capabilities ship as a feature inside a larger SaaS product. If you're building the product around the agent, not just the agent itself, this is the broader service.
If the system you want to add agent capability to is a legacy application first, modernization is often the right starting point before layering AI on top.
A common pairing for agent-powered applications - Blazor on the frontend, ASP.NET Core and Microsoft Agent Framework on the backend, all in C#.
How Facile Technolab helped Medical Device CTO Reduced Diagnostic Errors by 25% with Custom SaaS on Blazor & Azure.
Read Full Case Study
How Facile Technolab built a digital legal search SaaS platform for an Australian startup - ASP.NET Core, Azure, and full-stack delivery from MVP to launch.
Read Full Case Study
How Facile Technolab built a cruise management SaaS for a Croatian travel client connecting ship owners, agents, and passengers on a single platform.
Read Full Case Study
How much does it cost to add AI to an ASP.NET Core application? Real cost ranges for document Q&A, chatbots, agents, and workflow automation — updated July 2026.
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Not urgently. Both remain supported, but new feature investment is going into Microsoft Agent Framework. If you're starting a new project, build on Agent Framework directly. If you have an existing implementation working well, plan a migration on your own timeline rather than treating it as an emergency.
The framework isn't Azure-exclusive, but the tightest integration — identity via Entra Agent ID, governance via Purview, hosting via Azure AI Foundry — is Azure-native. For regulated industries specifically, we generally recommend staying within Azure for the compliance tooling.
Yes — the same senior .NET engineers who build your core application build the agent layer, rather than handing off to a separate AI team unfamiliar with your codebase.
Be direct with us and we'll be direct with you: the framework reached general availability in April 2026, so nobody in the industry has years of production history with it yet. What we have is 10+ years of ASP.NET Core and Azure engineering and real experience integrating AI into production .NET systems, which we're applying to Agent Framework as it matures.
It's Microsoft's supported, recommended path forward — not an experimental preview — but it's genuinely new. If your use case is business-critical, we'll be direct about where the tooling and ecosystem are still maturing versus where it's solid today.
Typically 1–2 weeks from initial conversation to a scoped pilot starting, since we work from senior .NET developers already on our team rather than starting recruitment from zero.
Bring agentic AI into your ASP.NET Core application with a team that already knows your stack. Whether you're validating a single workflow or building agent capability into your product roadmap, we'll give you a direct, honest assessment of what it takes - including where a simpler solution might serve you better. Contact us today to discuss your use case.
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