Making Your Workforce Gen AI Ready with Strong Security & Governance

Unlocking Next-Gen Employee Support with Microsoft Copilot Studio GPT Powered Employee Facing AI Agent

KNOW OUR CLIENT

Serving nearly 2 million residents across the state, this public utility is one of the largest providers of power and water services in the United States.

Its longstanding reputation for cost-efficiency, operational reliability, and environmental stewardship is matched by a forward-leaning approach to Microsoft Co-Pilot Powered Employee AI Agent modernization.

Business Challenge

While the organization had invested in modern workplace tools, employees increasingly turned to public AI platforms such as ChatGPT and DeepSeek to streamline everyday tasks—like drafting emails, summarizing documents, or interpreting HR and IT policies. This behavior, although productivity-driven, raised serious concerns around the unmonitored sharing of sensitive information.

At the same time, employees struggled to efficiently find answers within the company’s internal knowledge base, especially across sprawling repositories in SharePoint and other content management systems. This led to repeat queries to IT and HR teams, consuming valuable support resources and slowing down overall productivity.

Solution Deployed: Microsoft Co-Pilot Powered Employee AI Agent on Microsoft Azure

We engineered and deployed the Employee facing AI Agent—a secure, enterprise-ready assistant powered by Microsoft Azure LLM Services and Azure AI Search. Introducing secure LLM access—built for the enterprise. The solution is fully hosted in the customer’s Azure environment and integrated with internal systems to ensure complete control, security, and compliance.

With Azure AI Search, employees get fast and accurate document retrieval, enabling them to access relevant internal knowledge instantly—without relying on support teams or manual searches. This significantly improves efficiency and decision-making across the organization.

Combined with a token-based, pay-per-usage pricing model, the solution eliminates the need for costly per-user licenses. The organization pays only for actual usage—reducing costs, avoiding overprovisioning, and ensuring scalable, secure AI adoption on demand.

Architecture & Workflow

How It Works?

Query Initiation & Access Control

Employees submit queries via Teams, intranet, or mobile. The orchestration layer authenticates users through Azure Active Directory and applies access controls.

Vector Retrieval from SharePoint

Documents from SharePoint are chunked, embedded, and stored in a Vector DB. The system uses semantic matching to retrieve the most relevant content.

Response Generation with Azure LLMs

Azure-hosted LLMs generate accurate, context-aware answers based on the retrieved documents.

Enterprise Search (Azure AI Search + RAG)

The query is passed through an Enterprise Search stack using Azure AI Search to filter documents by metadata, and RAG (Retrieval-Augmented Generation) to pull semantically relevant results.

Role-Based Response Delivery

The final answer is tailored to the employee’s role and delivered back through their original channel.

Key Highlights

Secure and Enterprise-Ready Setup

Hosted fully within the customer’s Azure environment to ensure data security and complete control.

Integrated with the customer’s Active Directory to authenticate employees and manage access securely.

Easy Access for Employees

Available on both Web Chat and as a Desktop application, allowing employees to use it conveniently across devices.

Insights and Reporting

Comes with an advanced analytics dashboard to help teams monitor usage, review conversation history, and generate reports.

Smart Document Understanding

Trained on the organization’s internal policy documents with up to 99% accuracy.

Connected to the SharePoint knowledge base to provide reliable, document-backed responses.

Language Support

English (initial release).

Business Impact

No Licensing Overhead

Thanks to a token-based consumption model, there’s no need to pay for costly per-user or per-seat licenses. The organization pays only for what’s used—drastically reducing AI adoption costs and making the solution highly scalable./p>

Reduced Data Risk

By eliminating reliance on public AI tools, the organization ensured that sensitive internal information stays protected within the enterprise environment—maintaining full control and compliance.

Faster Access to Information

Employees can now find relevant answers instantly using the AI Agent—speeding up decisions and improving daily efficiency across departments.

Lower Support Costs

With the AI Agent resolving common HR and IT questions automatically, the volume of support tickets dropped, reducing the load and cost on helpdesk teams.

What’s next?

The Microsoft Co-Pilot Powered Employee facing AI Agent will evolve to support task execution—such as leave applications and password resets—through integration with internal HR and IT systems. It will also be enriched with knowledge from additional departments like Finance, Admin, and Operations.

With availability expanding across commonly used workplace platforms, the assistant will become a valuable daily companion—enabling employees to work more efficiently, stay informed, and complete tasks with ease.