Proposed Solution

A multi-tenant web application on Azure AppService integrating Azure OpenAI. It uses a secure quot;Bring Your Own Dataquot; (BYOD) model where each tenant's data is indexed separately for strict isolation.

The solution ensures data privacy while leveraging a shared, scalable AI infrastructure for cost efficiency.

Key Outcomes

Scalable SaaS Architecture

Enterprise-Grade Compliance

Secure BYOD Interaction

Rapid Tenant Deployment

Proposed Solution

A custom voice bot integrated into Microsoft Teams using the Teams AI Library and Graph API. Hosted on Azure App Service and powered by Azure OpenAI GPT models.

Facilitates real-time, natural language voice conversations, automating inbound interactions to reduce pressure on human staff.

Key Outcomes

Reduced Call Center Load

Faster Response Times

24/7 Voice Availability

Cost Savings on Operations

Proposed Solution

A scalable solution using Azure Document Intelligence to extract data from unstructured documents. Integrated with Azure OpenAI for natural language queries against document content.

Automates data entry into downstream systems and enables quot;chat with your documentsquot; capability for loan officers.

Key Outcomes

Accelerated loan approvals

Reduced manual data entry errors

Compliance-ready audit trails

Natural language search across docs

Proposed Solution

A web-based Visual Assistant powered by AzureOpenAI GPT-4 Turbo with Vision. The solution interprets user-uploaded images, extracts key fields via OCR, and fuses visual insights with indexed knowledge.

It provides analysts with instant summaries and context, automating manual review tasks across insurance, retail, and finance workflows.

Key Outcomes

Accelerated Image Understanding

Automated OCR & Extraction

Contextual Visual Analysis

Faster Operational Decisions

Proposed Solution

A custom web application hosted on Azure App Service that allows users to upload content in text, image, or audio formats.

The solution leverages Azure OpenAI’s multimodal capabilities (GPT-4o) to interpret inputs and generate unified insights, summaries, and trend reports instantly.

Key Outcomes

Faster Multimodal Insights

Automated Reporting & Summaries

Scalable Architecture

Seamless User Experience

Proposed Solution

A unified analytics platform using MicrosoftFabric with OneLake storage. Centralizes data ingestion and transformation for real-time reporting.

Integrates seamlessly with Power BI for dynamic dashboards, enabling data engineering, analytics, and data science teams to collaborate in a single environment.

Key Outcomes

Unified Analytics Platform

Self-Service BI Capabilities

Real-time Sales/Inventory Dashboards

AI/ML Workload Readiness

Proposed Solution

A Copilot Studio agent integrated into Microsoft Teams that guides users through travel booking, validates policies in real-time, and triggers Power Automate workflows for multi-level approvals using Adaptive Cards.

This low-code solution leverages existing M365 investments for rapid deployment and user adoption.

Key Outcomes

Faster Approval Cycles

Auto-Policy Validation

Full Auditability

Seamless Teams Experience

Proposed Solution

An intelligent agent built with Copilot Studio and MCP Server that automatically parses resumes, matches skills against job descriptions using Azure AI, and provides ranked shortlists with bias-reduced recommendations.

Automates the initial screening process while ensuring consistent evaluation criteria.

Key Outcomes

Accelerated Hiring Process

Bias-Reduced Recommendations

Multilingual Support

Skills-Based Matching

Proposed Solution

A real-time analytics platform built onMicrosoft Fabric that ingests streaming market data, processes it instantly for alerts, and stores it in OneLake for historical analysis and AI-based forecasting.

Integrates real-time dashboards with predictive ML models in a unified SaaS environment.

Key Outcomes

Instant Market Visibility

Automated Risk Alerts

AI-Based Price Forecasting

Historical Trend Analysis

Proposed Solution

A Copilot Studio agent enhanced with AzureAI Search that allows customers to use natural language. It retrieves precise answers from unstructured product manuals and catalogs using semantic search and GPT-4o.

The solution bridges the gap between complex product data and simple customer queries.

Key Outcomes

Better Customer Experience

Faster Answers to Complex Queries

Higher Conversion Rates

Reduced Support Tickets

Proposed Solution

A real-time analytics solution leveraging Azure Cosmos DB for operational data and Microsoft Fabric Event house for real-time streaming. This architecture provides live dashboards for instant sales visibility and inventory optimization.

Integrates operational and analytical workloads seamlessly.

Key Outcomes

Real-time Sales Performance Tracking

Inventory Optimization

Demand Forecasting

Operational Agility

Proposed Solution

A Medallion Architecture implementation on Microsoft Fabric using Notebooks and Pipelines.It processes data through Bronze (raw), Silver (cleansed), and Gold (curated) layers to deliver trusted analytics.

This structured approach ensures data quality, lineage, and governance while enabling self-service analytics.

Key Outcomes

Governed Data Pipelines

Repeatable Architecture Patterns

Self-Service Analytics

Data Quality Assurance

Proposed Solution

An autonomous shopping agent powered byCopilot Studio and GPT-4o that analyzes customer profiles and behaviors to provide tailored product suggestions, automate ordering, and enhance engagement.

Integrates seamlessly with product catalogs via AI Search and automates post-purchase workflows.

Key Outcomes

Increased Average Order Value

Personalized Shopping Journeys

Automated Reordering

Enhanced Customer Loyalty

Proposed Solution

An autonomous IT Support Copilot using CopilotStudio that intelligently handles user requests, searches knowledge bases, creates tickets in ServiceNow or Data verse, and routes complex issues automatically.

Automates the end-to-end support workflow from request to resolution or escalation.

Key Outcomes

Lower Mean Time to Resolution

Reduced Helpdesk Load

24/7 Support Availability

Improved Employee Satisfaction

Proposed Solution

A RAG-based chatbot using Azure OpenAI,FastAPI on Container Apps, and PostgreSQL. It grounds answers in product databases and documentation for accurate, multilingual support.

The solution integrates structured product data with unstructured policy documents for comprehensive answers.

Key Outcomes

Faster Support Response

Improved Agent Productivity

Multilingual Capability

Reduced Ticket Volume

Proposed Solution

An integrated pipeline using Azure Document Intelligence for high-accuracy OCR, orchestrated by Power Automate to seamlessly ingest structured data intoMicrosoft Fabric (OneLake) for immediate analysis and search.

This architecture unifies document processing with enterprise analytics in a single secure environment.

Key Outcomes

Automated Document Processing

Analytics-Ready Data

Improved Accuracy & Auditability

Unified Data Estate

Proposed Solution

An integrated Dynamics 365 Project Operations workflow that seamlessly converts sales opportunities into execution-ready project contracts with custom pricing rules and resource planning.

This ensures data consistency from initial proposal through to project delivery and billing.

Key Outcomes

Faster Quote-to-Contract Cycle

Improved Governance & Compliance

Accurate Project Costing

Integrated Resource Management

Proposed Solution

A comprehensive data governance solution using Microsoft Purview Unified Catalog. It establishes clear data ownership through domains and hierarchies, automates classification, and enforces access policies at scale.

This enables a trusted data foundation that aligns with organizational structures and regulatory requirements.

Key Outcomes

Compliance Alignment

Data Consistency

Regulatory Approval

Trusted Data Foundation

Proposed Solution

Integrate Microsoft Fabric with MicrosoftPurview to register the Lakehouse, catalog tables, and apply governance measures like sensitivity labels and DLP policies.

This centralizes visibility and strengthens protection while empowering business teams with trusted data.

Key Outcomes

Protected Analytics Environment

Trusted Data Access

Compliance Validation

Security Governance

Proposed Solution

A modern Power Apps canvas application that connects directly to the SAP backend via OData connectors. It empowers mobile workers to view and update SAP data in real-time, orchestrated by Power Automate for seamless workflow automation.

This solution modernizes the user experience without replacing the core ERP system.

Key Outcomes

Faster Customer Service

Accurate Real-Time Data

Mobile Workforce Enablement

Reduced Manual Entry