Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions 03-Azure/01-04-AI/Readme.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@ A collection of MicroHacks focused on AI on Azure and the GitHub + Azure agentic
* [**Inventory Planning with Microsoft Fabric (low-code)**](02_Inventory_Planning_Fabric/README.md) — Build a closed sense → reason → act inventory-planning loop with **Microsoft Foundry Agent Service** prompt agents (no application code) grounded on a governed **Fabric Data Agent** doing NL2SQL over an inventory Lakehouse, with a human-in-the-loop approval gate.
* [**Inventory Planning with AI Agents, Cosmos DB & Hosted Agents (pro-code)**](03_Inventory_Planning_Agentic/README.md) — Build hosted AI agents **in code** (Python) on the **Microsoft Foundry Agent Service** that reason over a governed per-attendee **Azure Cosmos DB** via typed function tools, chained into a sequential planning workflow with a human-in-the-loop approval gate and Foundry tracing.
* [**Agentic Contract Lifecycle Management (multi-model, pro-code)**](04_Agentic_Contract_Lifecycle_Management/README.md) — Build a **multi-model, multi-agent** contract assistant **in code** (Python) on **Microsoft Foundry**: orchestration on **GPT-5.4** with specialist drafting on **Anthropic Claude** and clause analysis on **GPT-5.6 Sol**, grounded with **Foundry IQ** over your own contract corpus, traced and evaluated behind a quality gate, exposed as an **MCP server**, and published to **Microsoft 365 Copilot & Teams** with proactive renewal alerts.
* [**Agentic Governance Hub (Citadel framework)**](05_AI_Governance/README.md) — Deploy a unified AI governance platform using the **Citadel Agentic Governance Hub** framework: onboard LLM backends through the hub's API Management gateway, configure access controls and policy enforcement, demonstrate usage tracking and observability, build governed agents on the spoke, and publish them behind unified infrastructure — all with Bicep infrastructure-as-code and Jupyter notebook walkthroughs.
* [**Agentic Claims Processing**](05_Claims_Processing/README.md) — Build an end-to-end claims workflow with **Mistral Document AI Models** and **Microsoft Foundry**, covering OCR and knowledge grounding, policy coverage decisions, sequential orchestration with human review, FIDES security hardening, and managed-identity deployment.

Collaborators wanted :) — see [CONTRIBUTING.md](../../CONTRIBUTING.md) to add your own.