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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Build production-ready AI agents with developers experienced in Microsoft Agent Framework, Microsoft Foundry, Azure OpenAI, RAG, tool calling, agent orchestration, and enterprise application integration. Facile Technolab helps businesses hire AI agent developers who can design, build, integrate, and deploy intelligent agents using Microsoft's agent development ecosystem. Whether you're extending an existing .NET application, building an enterprise AI assistant, or developing a multi-agent workflow, our developers can work with your existing engineering team and technology stack.
AI agents are moving beyond simple conversational interfaces. Modern agentic applications can reason through tasks, use tools, retrieve information, interact with APIs, and coordinate multiple steps to accomplish defined business objectives.
Microsoft Agent Framework provides developers with a code-first approach for building AI agents and workflows, with integrations across Microsoft Foundry, Azure services, models, tools, RAG, memory, evaluation, and observability.
Our AI agent developers can help you use this ecosystem to build custom agentic applications around your business processes, enterprise data, and existing software.
Hire developers who understand Microsoft's code-first agent development approach and can build AI agents using the Agent Framework ecosystem.
For organizations with Microsoft technology stacks, our developers can integrate agentic capabilities into .NET, C#, ASP.NET Core, and Azure-based applications.
Build and deploy agent applications using Microsoft Foundry capabilities, including hosted agents, models, tools, evaluation, observability, and enterprise controls.
Connect Agent Framework applications with Azure OpenAI and other supported model providers based on your application's requirements.
Connect AI agents with existing APIs, databases, SaaS platforms, business applications, internal systems, and custom software.
Hire a single Microsoft Agent Framework developer, a dedicated AI development team, or a broader engineering team depending on your project's requirements.
Design and develop AI agents around specific business objectives, user journeys, workflows, and application requirements.
Agents can be designed to interpret requests, determine the next step, retrieve information, use approved tools, and return results through your application.
Develop workflows that coordinate multiple AI capabilities, tools, APIs, data sources, and application services.
Agent orchestration can be used when a task requires multiple steps rather than a single model response.
Enable AI agents to interact with approved application functions, APIs, databases, and external services.
For example, an agent may retrieve account information, create a service request, check an order status, or trigger an approved workflow based on the user's request.
Use AI agents to automate repetitive, knowledge-intensive workflows while connecting them with the systems and tools required to complete the process.
Connect AI agents with enterprise knowledge sources so they can retrieve relevant information before generating responses or deciding what action to take.
For complex use cases, multiple specialized agents can be coordinated to perform different responsibilities within a broader workflow.
For example, one agent can gather information, another can analyze it, and another can prepare the output according to predefined business requirements.
Develop intelligent copilots that assist employees and customers with research, information retrieval, content creation, decision support, and application-specific tasks.
Create natural-language interfaces that allow users to interact with business applications through conversations rather than navigating multiple screens or processes.
Intelligent AI agents designed to understand business context, make decisions, use tools, and complete defined tasks.
Code-first AI agents and agentic workflows built with Microsoft Agent Framework for enterprise applications and business automation.
AI agents integrated with Microsoft Foundry for enterprise-grade development, deployment, monitoring, and scalable agentic applications.
AI agents powered by Azure OpenAI and connected to enterprise data, applications, APIs, and business workflows.
Retrieval-augmented AI agents that connect LLMs with enterprise knowledge bases, documents, databases, and other trusted data sources.
Agentic workflows that automate repetitive business processes, coordinate tasks, call APIs, and execute actions with defined controls.
Collaborative AI agent systems where specialized agents work together to handle complex tasks and business processes.
Context-aware AI copilots that help employees and customers find information, complete tasks, and interact with business applications.
AI agents connected to APIs, databases, SaaS platforms, internal systems, and business tools to perform useful actions.
AI agents integrated with .NET, C#, and ASP.NET Core applications to extend existing enterprise software with agentic capabilities.
Production-focused AI agents integrated into enterprise applications, business processes, data platforms, and internal systems.
Modernize existing applications by adding AI agents, intelligent workflows, automation, and natural-language interactions to established systems.
Our AI agent developers work across Microsoft's AI ecosystem to build production-ready agents, agentic workflows, and enterprise AI applications. From Microsoft Agent Framework and Microsoft Foundry to Azure OpenAI and .NET, we combine AI capabilities with your existing applications, APIs, data, and business workflows.
Large Language Models, Generative AI, AI agents, Agent orchestration, Prompt engineering, RAG, Embeddings, Vector search, Tool and function calling
Microsoft Azure, Azure OpenAI, Microsoft Foundry, Azure AI Search, Azure Functions, Azure App Service, Microsoft Entra ID, Azure Storage, Azure databases
.NET, ASP.NET Core, C#, Python, REST APIs, Microservices, API integrations
React, Angular, Vue.js, Blazor, TypeScript, JavaScript
Facile Technolab brings AI development and custom software engineering together to help organizations turn AI agent concepts into working applications. Our developers can help you:
We measure success by long-term partnerships, not one-off projects. With 97% client retention, 85% of new work coming from referrals, 100% project delivery, and 31 verified reviews, our clients stay with us because we consistently deliver practical results on Microsoft .NET and Azure.
If your organization already has a .NET or ASP.NET Core application, Microsoft Agent Framework can provide a natural path for introducing agentic capabilities into the existing software architecture.
Our developers can help expose appropriate application functionality as agent tools and connect agents with APIs, databases, business rules, and existing workflows.
This allows businesses to add AI capabilities without rebuilding their entire application.
Possible use cases include:
Microsoft Agent Framework is particularly relevant for organizations that want a code-first approach to agent development while remaining within the Microsoft ecosystem.
It can be used with Microsoft Foundry and Azure services while supporting integrations for models, tools, RAG, memory, evaluation, observability, and hosted agents.
For organizations with existing Microsoft development teams, this can provide a practical path for introducing agentic capabilities into existing .NET and Azure applications.
The framework also provides flexibility for applications where developers need more control over agent logic and orchestration than a purely low-code approach provides.
Our services are suitable for organizations that want to:
If you already have an application, API ecosystem, enterprise data platform, or Azure environment, our developers can work within that existing architecture.
Not every AI agent project requires the same technology stack. The right approach depends on your existing applications, cloud environment, AI models, data sources, integrations, and development requirements.
For organizations already using Microsoft technologies, Microsoft Agent Framework can be a strong option for building code-first agentic applications that integrate with the broader Microsoft ecosystem.
| Requirement | Microsoft Agent Framework Approach |
|---|---|
| AI agent development | Custom agent development using Microsoft's framework |
| .NET applications | C# and .NET development |
| Azure ecosystem | Integration with Azure services |
| Azure OpenAI | Integration with Azure-hosted AI models |
| Enterprise knowledge | RAG and search integrations |
| Business automation | Tools, APIs, and agentic workflows |
| Multi-agent applications | Agent orchestration and workflows |
| Microsoft Foundry | Integration and hosted agent scenarios |
| Existing enterprise software | API and application integration |
| Developer control | Code-first development approach |
If your organization already uses Azure, .NET, Microsoft Foundry, or other Microsoft technologies, hiring developers with Microsoft Agent Framework experience can help reduce the gap between your existing software environment and your new AI agent application.
Explore flexible ways to work with Facile Technolab. Whether you want to form a long-term technology partnership, hire dedicated developers, leverage our products, or download practical guides we provide the support and resources to help you move faster with confidence.
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Stop patching talent gaps project by project. As your offshore development partner, we bring a dedicated Microsoft-focused team into your workflow access to skilled engineers, faster time-to-market, and a working relationship built for the long term, not a one-off contract.
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Whether you need one specialist or a full dedicated team, our developers plug into your existing workflow, tools, and standups from week one.
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Facile Technolab helps businesses build, modernize, and scale software with experienced developers, practical technology solutions, and flexible engagement models.
About Facile Technolab → Talk to Us →Real feedback from teams who have worked with us on .NET, Azure, and practical AI projects. These testimonials reflect the quality of our engineering, communication, and long-term partnership approach.
" Facile Technolab Pvt Ltd delivered the project on time and to the client's satisfaction. The team ensured excellent communication via email, virtual meetings, and other messaging apps. Their research-oriented approach is a key element of their work. "
" Facile Technolab's services earned high satisfaction and excellent feedback from the client. The team was skillful, efficient, and timely in delivering tasks. They maintained clear communication via virtual meetings and email. Their efficiency in Microsoft technology stood out. "
" Facile Technolab's work met the client's expectations. The team showcased impressive culture and discipline. Facile Technolab was responsive via virtual meetings and worked in sprints, showing an ability to respond to the client's changing requirements. "
" Facile Technolab's professionals helped the client notably increase revenue and reduce operation costs. Facile Technolab has independently and effectively managed the project and maintained stellar communication via Slack. Facile Technolab's cost-effectiveness and quality service are exemplary. "
" Facile Technolab has completed the Jira tickets and successfully delivered the MVP. The team conducts regular check-ins and daily calls. They communicate efficiently through virtual meetings. The client is impressed with Facile Technolab's leadership and strong technical background. "
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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.
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How Facile Technolab built a cruise management SaaS for a Croatian travel client connecting ship owners, agents, and passengers on a single platform.
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How to migrate ASP.NET Web Forms to Blazor page lifecycle mapping, control conversion, state management, authentication, and phased migration strategy.
How to build a document Q&A system on ASP.NET Core and Azure OpenAI. RAG architecture, Azure AI Search, chunking strategy, citations, and real cost estimates.
How to migrate from .NET Framework to .NET 10 LTS — breaking changes, EF Core 10, middleware pipeline, authentication, and phased delivery. Updated August 2026.
Microsoft Agent Framework is Microsoft's developer framework for building AI agents and agentic workflows. It provides a code-first development approach and integrates with Microsoft Foundry, Azure services, models, tools, RAG, memory, evaluation, and observability.
Yes. You can hire developers with experience building AI agents using Microsoft Agent Framework, Azure, Microsoft Foundry, Azure OpenAI, .NET, C#, Python, RAG, APIs, and enterprise application technologies.
Yes. Microsoft provides Agent Framework development capabilities for .NET/C# as well as Python.
Yes. Microsoft Agent Framework supports Azure OpenAI integrations, allowing developers to build agentic applications using Azure-hosted models and related Azure services.
Yes. Microsoft Agent Framework integrates with Microsoft Foundry for model inference, managed agents, tools, RAG, memory, evaluation, observability, and hosted agent scenarios.
Yes. Microsoft provides hosting packages that allow Agent Framework agents to be deployed as Foundry hosted agents while Foundry manages the hosted runtime, sessions, scaling, identity, and supported protocols.
Yes. Agent Framework supports integrations with Microsoft Foundry and Azure services for RAG and data grounding scenarios. Developers can connect agents with enterprise knowledge sources, search services, and application data.
Yes. Agent functionality can be integrated into existing .NET and ASP.NET Core applications by connecting agent logic with application functionality, APIs, databases, and tools.
Yes. Microsoft Agent Framework can be used for agentic workflows and multi-agent scenarios where multiple specialized agents collaborate to complete a broader task.
Microsoft Agent Framework provides a developer-focused framework for building agent logic and workflows, while Microsoft Foundry Agent Service provides managed capabilities for hosting, scaling, identity, tools, conversations, and agent lifecycle. They can be used together for applications that need both code-level control and managed Azure infrastructure.
The cost depends on developer experience, project complexity, required Microsoft technologies, integrations, engagement model, and development duration. Contact Facile Technolab with your requirements for a tailored estimate.
Yes. You can start with an individual developer for a focused Agent Framework project and expand the team with additional AI, backend, frontend, cloud, QA, or DevOps expertise as requirements grow.
Looking to build an AI agent with Microsoft's Agent Framework? Whether you need a single developer to extend your existing .NET application or a dedicated team to build an enterprise agentic platform, Facile Technolab can help. Tell us about your AI agent use case, existing technology stack, and development requirements.
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