Can you use AI without risking sensitive data or generic answers? AI Agent is a private, secure assistant integrated with your systems, delivering accurate, company-specific answers with full control.
This AI Agent solution is a custom enterprise implementation built on Microsoft Azure Data & AI services, enabling organizations to leverage Large Language Models (LLMs) in a secure, private,️, and enterprise-ready environment.The solution integrates with internal systems such as databases, CRM, SharePoint, and ERP, delivering accurate, relevant, and business-aligned responses.
It provides governed AI with full data control, company-specific answers powered by Retrieval-Augmented Generation (RAG), seamless system integration, and scalable performance. The implementation leverages Azure services including Azure AI, Azure AI Search, Azure OpenAI, and Azure-native security and governance to support enterprise-scale deployments.
Solution Delivery Overview:
The implementation begins with Planning and Conceptualization, defining scope, use cases, architecture, and validation criteria. This is followed by Tenant Deployment and Service Configuration, where the Azure environment is prepared, including security, roles, and access control.
During AI Agent Development (InfoAssistant Accelerator), the conversational agent is implemented with RAG and Azure AI Search integration, applying usage limits to ensure secure and controlled operation.Once implemented, the solution is monitored through dashboards and usage metrics to support informed decision-making. Deployment and Stabilization then ensures a production-ready release, validated under real conditions and optimized for reliability and performance.
Finally, Technical Documentation, Knowledge Transfer, and Training enable users and administrators to operate, maintain, and evolve the solution independently. This offering provides an end-to-end implementation aligned with Azure best practices, including planning, configuration, AI Agent deployment using the InfoAssistant accelerator, RAG capabilities, Azure AI Search integration, security and governance, monitoring, and production deployment.
Sucess Case: An AI Agent solution was designed and implemented on Microsoft Azure for an enterprise client, enabling secure, production-ready conversational AI. The implementation integrates internal data ingestion, intelligent processing, and real-time messaging within a scalable Azure architecture.
✔The solution provides full interaction traceability using Azure Cosmos DB, protection against malicious requests, and enterprise security controls. It achieved an average response time of 8.45 seconds and includes CI/CD pipelines to support continuous deployment and reliable enterprise operations.
Accelerate secure AI adoption on Azure with us—deploy a production-ready AI Agent, fully integrated with your data, governed by design, and built to scale with your business.