Volta River Authority Transforms Enterprise Knowledge Access with Microsoft-Powered Conversational AI Agent ILIMI
Enabling secure, AI-driven knowledge access across enterprise and public information systems through a governed Microsoft ecosystem, transforming how VRA retrieves, uses, and interacts with organizational knowledge.
Volta River Authority (ILIMI) Case study — Challenge, Solution, and Impact
VRA managed large volumes of distributed organizational data, making the rapid retrieval of accurate informationor internal and public queries a significant operational challenge..
Reliance Infosystems deployed ILIMI, a secure, conversational AI agent built within the Microsoft ecosystem, transforming static repositories into an intelligent, interactive knowledge system.
The engagement established an AI-driven knowledge ecosystem that redefined VRA’s information retrieval and operational intelligence.
RAG-Based
Grounded AI Architecture
Dual-Agent
Internal & Public Inquiry Support
Permission-Trimmed
Secure Enterprise Content Access
Automated
Manual Search Effort Reduction
CASE STUDY overview
Microsoft AI and Knowledge Transformation
Industry
Energy & Utilities
Category
Copilot & Agents at Work
Revenue (USD)
$37,500
The Volta River Authority (VRA) is a public energy organization in Ghana responsible for managing power generation and related operations that serve both internal stakeholders and the wider public. With large volumes of distributed organizational data spread across documents and repositories, accessing accurate information quickly had become a major operational challeng
To address this, VRA partnered with Reliance Infosystems to design and deploy ILIMI, a secure, conversational AI agent built within the Microsoft ecosystem. The solution transforms static document repositories into an intelligent, interactive knowledge system that enables users to ask questions and receive grounded, context-aware answers in real time.
ILIMI operates across both internal and external use cases, providing controlled access to enterprise knowledge while ensuring strict adherence to identity, security, and data protection policies
"Reliance Infosystems combined deep expertise in Microsoft AI architecture, enterprise knowledge systems, and secure identity design to deliver ILIMI, transforming enterprise data into an intelligent, conversational experience while maintaining strict governance and security standards."
Partner Value and Expertise Reliance Infosystems
Zero Trust and Data Security Capabilities Delivered
Microsoft Graph enables secure indexing and retrieval of enterprise content, ensuring ILUMI only accesses authorized data based on user permissions.
A Retrieval-Augmented Generation (RAG) framework combines semantic understanding and enterprise data retrieval to deliver precise, context-aware responses instead of document lists.
Microsoft AI embedding capabilities enable semantic search, allowing ILUMI to understand intent and meaning rather than relying on keyword matching.
Microsoft Entra ID enforces SSO and MFA authentication, ensuring secure identity verification and controlled access to internal knowledge systems.
SharePoint permissions and Graph-based access controls ensure users only receive responses aligned with their existing authorization levels.
DLP policies and security boundaries ensure sensitive enterprise data is not exposed across unauthorized services or external channels.
Enterprise Outcomes Enabled by Microsoft AI
Unified Knowledge Access
Enterprise data is transformed into a single intelligent knowledge layer accessible through natural language queries.
Faster Information Retrieval
Users receive direct answers in minutes instead of manually searching through documents and folders.
Secure Enterprise AI Adoption
Identity-based access and permission trimming ensure secure, compliant use across internal and external environments.
Improved Operational Efficiency
Teams spend significantly less time searching for information and more time executing tasks and decisions.
Enhanced Stakeholder Engagement
Both internal users and external stakeholders benefit from faster, more accurate access to information.
Business Impact
The deployment of ILIMI delivered measurable transformation in how VRA accesses and uses information:
Increased productivity
through conversational access to enterprise data
Information retrieval time reduced from
hours to minutes
Improved
responsiveness to internal and external queries
Secure
governed AI
adoption across enterprise environments
Enhanced
Enhanced stakeholder satisfaction and engagement quality
Shift from document-centric workflows to
AI-driven
Shift from document-centric workflows to AI-driven knowledge interaction
Significant reduction
in manual document search and review effort
Approach and Delivery Methodology
Reliance Infosystems followed a structured AI adoption and implementation approach:
01.
Knowledge Discovery and Structuring
Enterprise documents were analyzed, chunked, and prepared for semantic indexing and embedding.
02.
AI Architecture Design
A RAG-based architecture was designed combining Microsoft Graph, vector search, and orchestration layers.
03.
Secure Integration Layer
Microsoft Entra ID, SharePoint permissions, and DLP policies were integrated to enforce enterprise-grade security.
04.
AI Agent Development
ILIMI was deployed as a dual-agent system supporting both internal enterprise users and external public inquiries.
05.
Testing and Adoption Enablement
Real-world use cases were tested with users to ensure smooth adoption and intuitive interaction.
Microsoft Technologies Used:
Microsoft Graph
SharePoint Online Permissions Framework
Microsoft Vector Search Capabilities
Microsoft AI Embedding Models
Microsoft Data Loss Prevention (DLP) Policies
Microsoft Entra ID
Microsoft Cloud AI Infrastructure supporting RAG architecture
How Microsoft Technologies Enabled the Outcome
Microsoft Graph ensured LLM only accessed authorized enterprise content, enforcing secure and compliant responses.
Embedding models and vector search enabled semantic understanding of user queries, shifting interaction from keyword search to intent-based knowledge retrieval.
Embedding models and vector search enabled semantic understanding of user queries, shifting interaction from keyword search to intent-based knowledge retrieval.
Microsoft Entra ID and SharePoint permissions ensured identity-aware access control across all interactions.
DLP policies maintained strict data governance, ensuring sensitive information remained protected across all workflows.
Together, these capabilities enabled a secure, scalable, and intelligent enterprise knowledge system.
Partner Value and Expertise
Reliance Infosystems combined deep expertise in Microsoft AI architecture, enterprise knowledge systems, and secure identity design to deliver ILIMI.
Key strengths included:
Enterprise RAG architecture design and implementation
Microsoft Graph-based knowledge engineering
Secure AI system design with identity-first controls
Semantic search and embedding model integration
Copilot Envisioning and Deployment Accelerator programs
Real-world AI adoption and change management execution
The engagement demonstrated how enterprise data can be transformed into an intelligent, conversational experience while maintaining strict governance and security standards.
Winner Summary
Volta River Authority partnered with Reliance Infosystems to deploy ILIMI, a Microsoft-powered conversational AI agent that transforms enterprise knowledge access. Built on Microsoft Graph, Entra ID, and RAG-based architecture, the solution enables secure, intelligent retrieval of organizational information in real time. ILIMI significantly reduces information search time, improves stakeholder engagement, and shifts VRA from document-based access to AI-driven knowledge interaction.