You will get a powerful chatbot for your SharePoint site
Project details
a combination of innovation, precision, and user-centric design. Here’s how:
Cutting-Edge Technology:
Leveraging advanced tools like Microsoft Graph, Azure AI, and OpenAI embeddings, we deliver a solution that excels in semantic and vector search accuracy, exceeding 99.9% precision.
Tailored Integration:
Our APIs and interfaces are custom-built to align with your data structure, business needs, and user profiles, ensuring seamless integration and maximum relevance.
Enhanced Security:
By storing documents in secure Azure Blob Storage and managing keys via Azure Key Vault, we prioritize data security and compliance.
Deep Insights:
We go beyond basic functionality by analyzing conversations, detecting sentiment, and conducting correlation studies (e.g., product/sentiment, topic/sentiment) to provide actionable insights
User-Focused Design:
Our intuitive interface, combined with robust indexing and synchronization, ensures users can easily access and interact with their data, while our bot delivers precise, honest, and cited responses.
Continuous Improvement:
Every interaction is stored, summarized, and analyzed, enabling us to refine the model and adapt to evolving user needs
Cutting-Edge Technology:
Leveraging advanced tools like Microsoft Graph, Azure AI, and OpenAI embeddings, we deliver a solution that excels in semantic and vector search accuracy, exceeding 99.9% precision.
Tailored Integration:
Our APIs and interfaces are custom-built to align with your data structure, business needs, and user profiles, ensuring seamless integration and maximum relevance.
Enhanced Security:
By storing documents in secure Azure Blob Storage and managing keys via Azure Key Vault, we prioritize data security and compliance.
Deep Insights:
We go beyond basic functionality by analyzing conversations, detecting sentiment, and conducting correlation studies (e.g., product/sentiment, topic/sentiment) to provide actionable insights
User-Focused Design:
Our intuitive interface, combined with robust indexing and synchronization, ensures users can easily access and interact with their data, while our bot delivers precise, honest, and cited responses.
Continuous Improvement:
Every interaction is stored, summarized, and analyzed, enabling us to refine the model and adapt to evolving user needs
AI Development Type
Knowledge RepresentationAI Tools
Azure Machine LearningAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 7 days | 7 days | 7 days |
Number of Revisions | 1 | 3 | 12 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy |
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KC
Kevin C.
Mar 30, 2026
Azure AI Foundry Expert: Agentic AI for Unstructured Medical Document Orchestration
About Aziz
Azure AI Architect | RAG Systems Voice AI Real-Time Conversational
56%
Job Success
Aryanah, Tunisia - 9:47 am local time
As a Microsoft MVP and certified Azure Solutions Architect Expert, I specialize in three high-complexity domains where most developers stop at the surface: Retrieval-Augmented Generation pipelines, real-time Voice AI systems, and enterprise Azure AI architecture.
My work lives in production. I've designed and deployed multi-agent architectures handling live voice conversations using Azure OpenAI Realtime API and VoiceLive SDK, built asynchronous RAG systems on Azure AI Search with sub-second retrieval, and architected MCP server ecosystems orchestrating complex business logic across containerized Flask microservices on Azure Container Apps.
What I bring that others don't:
Most Azure AI contractors can follow documentation. I design systems from first principles — knowing when RAG outperforms fine-tuning, how to engineer a voice pipeline that survives latency constraints in production, and how to structure multi-agent MCP architectures that remain maintainable six months after delivery.
I work exclusively with clients who have serious technical requirements and understand the value of getting architecture right the first time.
Core expertise:
Azure OpenAI Realtime API and VoiceLive SDK — end-to-end voice AI pipelines from STT to response synthesis, hybrid architectures, latency optimization for production environments.
RAG architecture — asynchronous retrieval pipelines, Azure AI Search integration, chunking strategies, reranking, evaluation frameworks. Built for accuracy and speed at enterprise scale.
MCP servers and multi-agent systems — Flask-based specialized agents, tool orchestration, Azure Container Apps deployment, stateful conversation management.
Azure infrastructure — Container Apps, Azure Communication Services, Cosmos DB, Table Storage, Key Vault. Full production deployment, not just proof of concept.
Certifications & recognition:
Microsoft MVP
Azure Solutions Architect Expert
Azure AI Engineer Associate
Microsoft Partner (ID: 6960001)
Languages: French (native) · English (professional) · Arabic (native)
Engagement model:
I take on a limited number of clients at a time to ensure full technical attention. Fixed-price milestones for scoped projects, hourly for architecture consulting and ongoing development.
Steps for completing your project
After purchasing the project, send requirements so Aziz can start the project.
Delivery time starts when Aziz receives requirements from you.
Aziz works on your project following the steps below.
Revisions may occur after the delivery date.
Solution Branding via CSS
Customization of the user interface with a consistent and attractive design, aligned with the brand’s visual identity, to ensure an optimal user experience.
Creation of the Index Schema
Design and implementation of a robust indexing structure to organize and optimize data access, ensuring fast and accurate searches.