Microsoft Foundry Implementation Support Service

Microsoft Foundry Implementation Support Service

Home /

Microsoft Foundry Implementation Support Service

Comprehensive Support for Building Your Enterprise AI App and AI Agent Development Platform

As generative AI adoption shifts from "trial" to "full-scale operation," having a foundation that lets you develop and operate AI applications and agents optimized for your own business and data, safely and quickly, is increasingly a key factor in corporate competitiveness. Microsoft Foundry (formerly Azure AI Foundry) is Microsoft's enterprise AI development platform, bringing together model selection, application and agent development, evaluation, and operational management into a single workspace.

Drawing on the expertise we've built through supporting Microsoft cloud implementations, SYSCOM GLOBAL SOLUTIONS provides one-stop support, from designing and building AI infrastructure with Microsoft Foundry, to AI application development, operations, and governance setup. With bilingual Japanese-English support, we can confidently handle projects that span Japanese headquarters and overseas locations.

Do any of these challenges sound familiar?

  • You've run generative AI PoCs (trials), but don't have the infrastructure or organization in place to move to production.

  • General-purpose services like ChatGPT can't build full-scale AI applications that leverage your own company data.

  • With so many AI models to choose from, you're not sure how to pick the one that fits your use case and budget.

  • You lack a system for continuously monitoring and improving AI response quality and cost, so you're uneasy about ongoing operations.

  • You want to roll out AI development company-wide in a way that meets security and compliance requirements.

  • You want to automate operations by linking multiple AI agents together, but don't have specialized talent in-house.

Building an AI development and operations platform with Microsoft Foundry may help solve these challenges.

What Is Microsoft Foundry?

Microsoft Foundry is an AI platform delivered as an Azure service, integrating the capabilities enterprises need to develop and operate AI applications and agents. It's an evolution of the service formerly offered as "Azure AI Foundry," and lets you handle model selection and validation, application and agent building, quality evaluation, and production monitoring and management, all in one consistent environment.

Its biggest strength is that it lets you choose from a catalog of diverse models, from OpenAI's latest models to offerings from various AI companies and open-source communities, and switch between them depending on your use case. It also offers rich developer SDKs and integration with GitHub and Visual Studio, enabling a smooth path from prototype to production.

Key Features of Microsoft Foundry

Extensive Model Catalog

  • Choose from a catalog of over 10,000 models, including OpenAI's latest models plus models from providers like Meta, Mistral, and xAI, as well as open-source models. Easily compare and switch based on use case, performance, and cost.

AI Agent Development

  • Dedicated capabilities for designing, building, and operating AI agents that autonomously carry out business tasks. Supports advanced workflow automation through multi-agent collaboration (multi-agent workflows).

Integration with Your Own Data (RAG)

  • Combine with tools like Azure AI Search to build Retrieval-Augmented Generation (RAG) applications that generate answers based on internal documents and databases.

AI App Visibility & Monitoring

  • Tools for quantitatively evaluating response quality, safety, and cost, plus mechanisms for continuously monitoring applications in production, so you can maintain AI quality while running improvement cycles.

Responsible AI

  • Built-in content safety features to help deliver AI safely, including detection and suppression of harmful content and defenses against malicious prompts.

Enterprise Management

  • Governance features required for enterprise use, including authentication and access control via Microsoft Entra ID, network isolation, and centralized management of resources and costs.

Developer-Friendly

  • A well-developed SDK, CLI, and portal that integrate with tools like GitHub and Visual Studio Code, streamlining everything from prototyping to production deployment.

Microsoft Foundry vs. Copilot Studio: How to Choose

Microsoft also offers Copilot Studio, a low-code tool for building AI agents. While Copilot Studio is well-suited to fast, business-unit-led agent creation, Microsoft Foundry is better suited when you need flexibility in model selection, fine-grained control, and full-scale application development and operations. The two can also work together, and SYSCOM will recommend the best combination for your goals and organization.

Example Use Cases

【Internal Knowledge AI】

Build a Q&A application trained on internal policies, technical documents, and past project records.

【Advanced Customer Support】

AI applications linked to product manuals and FAQs to automate and enhance inquiry response.

【Business Process Automation】

Multiple AI agents working together to autonomously handle order processing, report generation, data aggregation, and more.

【Document Processing】

Applications that extract, summarize, and classify information from documents such as contracts and invoices.

【Multilingual Communication Support】

Streamline tasks unique to global companies, such as Japanese-English translation, summarization, and document drafting support.

SYSCOM's Implementation Support Services

AI Utilization Consulting

  • Through interviews about your business challenges, we organize and prioritize AI use cases and propose the optimal architecture (including Microsoft Foundry) with a rough cost estimate.

PoC (Proof of Concept) Support

  • Before full-scale development, we build a prototype for a targeted business process in a short timeframe to verify effectiveness, feasibility, and operating cost.

AI Infrastructure Design & Build

  • We build a company-wide AI development foundation you can use with confidence, including Azure subscription design, network/security configuration, and Microsoft Foundry environment setup.

AI App & Agent Development

  • From requirements definition through design, development, and testing, we handle RAG-based application and AI agent development on your behalf, including integration with existing systems, Microsoft 365, and Power Platform.

Evaluation & Governance Setup

  • We build the mechanisms for responsible AI operations, including response-quality evaluation criteria, content safety settings, and usage policy development.

In-House Capability Building & Training

  • Hands-on training and side-by-side technical support so your development team can become self-sufficient.

Ongoing Operations & Maintenance Support

  • Continuous support after go-live, including monitoring, keeping up with model updates, accuracy tuning, and feature expansion, available in Japanese and English.

Why Choose SYSCOM

Proposals Grounded in the Full Microsoft Cloud

Extensive experience implementing and supporting Azure, Microsoft 365, and Power Platform means we can propose an AI foundation consistent with your existing environment.

Deep Expertise in Global IT for Japanese Companies

Years of supporting overseas locations and global expansion for Japanese companies enable realistic project execution that accounts for business practices and structures both in Japan and abroad.

Bilingual Japanese-English Support

From proposal through build, training, and ongoing operations, we support both Japanese and English, enabling smooth projects that involve both headquarters and local subsidiaries.

One-Stop Support

A consistent team supports you from concept through infrastructure build, app development, and operational adoption, so you avoid vendor fragmentation and keep accountability clear throughout.

Contact Us

Whether you're considering implementing Microsoft Foundry or just gathering information toward full-scale generative AI adoption, feel free to reach out. We'll propose the best approach for your situation.

Implementation Process

1

Inquiry & Interview

Tell us about your current challenges and what you want to achieve with AI.

2

Use Case & Architecture Proposal

We present promising use cases, system architecture, and a rough cost estimate.

3

PoC / Prototype Build

We build on a small scale to verify effectiveness, giving you a basis for deciding on full rollout.

4

Infrastructure Build & Full-Scale Development

We support building the AI foundation, developing applications/agents, and company-wide rollout.

5

Operations & Continuous Improvement

Ongoing monitoring and improvement of quality and cost, and keeping up with model updates.

Frequently Asked Questions

Q: Is this a different service from Azure AI Foundry?
A: Microsoft Foundry is the evolved, renamed version of Azure AI Foundry. If you're currently using Azure AI Foundry (or previously Azure OpenAI Service, etc.), we're happy to discuss migration or expanded use.
Q: Can we implement this without in-house AI specialists?
A: Yes. SYSCOM handles planning and building on your behalf, and provides ongoing hands-on support and training after launch to help you build in-house capability gradually, so you can start even without specialized staff.
Q: Is it safe to handle our confidential internal data?
A: Microsoft Foundry runs on Azure's enterprise-grade security foundation and is designed so that input data is not used without authorization to train the underlying models. We'll propose a configuration that meets your security requirements, including network isolation and access control.
Q: How much does it cost?
A: Costs are primarily usage-based, depending on the models used and processing volume, so they vary significantly by use case. We recommend measuring actual usage during the PoC phase, then estimating production costs from there.
Q: Which should we choose, Copilot Studio or Microsoft Foundry?
A: If speed and business-unit ownership matter most, Copilot Studio is a good fit. If you need flexibility in model selection and full-scale development/operations management, Microsoft Foundry is better suited. The two can also be used together, and we'll propose the optimal setup for your goals.