Connected and Consolidated Enterprise Data
Integrated Microsoft SharePoint and other enterprise sources using Azure authentication to securely extract, centralize, and manage structured and unstructured business data.
Case Study
Enterprise Intelligence
We partnered with BK Techouse, a Rwanda-based technology company, to design, develop, and deploy an AI-powered enterprise data repository-an intelligent platform built to unify enterprise data, enforce secure access, and enable natural language interaction through Large Language Models (LLMs).
Vision
Building a secure and scalable enterprise data platform that consolidates information across systems, protects PII, enforces user-level access controls, and enables employees to retrieve trusted insights through a conversational AI interface.
The Challenge
BK Techouse faced challenges with enterprise data spread across multiple systems, making information difficult to discover, manage, and secure. The organization needed a centralized platform capable of enforcing user-level access controls, protecting sensitive information such as PII, and delivering accurate insights without requiring employees to navigate complex applications and repositories.
The Solution
Developed an AI-driven enterprise data platform that consolidates information from multiple sources into a secure repository. The solution implemented entitlement-based access control, automated PII detection and masking, encrypted semantic search, and LLM-powered conversational querying through Slack. This enabled employees to securely access relevant information through natural language interactions while ensuring compliance, privacy, and scalability.
What we did
Implemented Security, Access Control & Privacy
Built entitlement-based access controls using Elasticsearch and automated PII detection and masking pipelines to ensure users could access only authorized and compliant information.
Enabled Secure Semantic Search
Created an encrypted vector search framework using FAISS and AES-256 encryption, allowing fast, context-aware retrieval of enterprise knowledge while maintaining data security.
Delivered Conversational AI & Automation
Integrated LLM-powered querying through Slack and automated end-to-end workflows with Apache Airflow, including data refresh, masking, embedding, and indexing processes.
Key Features
Enterprise Data Integration
Unified data from multiple enterprise systems into a centralized, searchable repository.
Secure Access & Compliance
Applied entitlement-based access controls and automated PII masking to protect sensitive information.
Encrypted Semantic Search
Enabled fast, context-aware document retrieval using secure vector-based search technology.
AI-Powered Knowledge Assistant
Delivered accurate, access-aware answers through natural language interactions in Slack.
The
Impact
1
Unified Data Access
Consolidated enterprise information across multiple platforms, eliminating data silos and improving accessibility.
2
Privacy & Compliance by Design
Automated PII detection and masking to strengthen data protection and support regulatory compliance.
3
AI-Powered Interactions
Enabled users to retrieve information through secure, conversational AI experiences powered by LLMs.
4
Productivity Gains
Reduced manual search efforts by delivering real-time, context-aware responses to user queries.
5
Scalability & Flexibility
Built a future-ready architecture supporting 300+ enterprise data connectors and growing business needs.