Added Hack description in main README (Azure-AI)

03-Azure/01-04-AI/07_Fraud_Intelligence/README.md

@@ -1,7 +1,5 @@
 # Agentic AI Hacks | Fraud Intelligence 🔍
 
-> ⚠️ **This repository is under construction.** All information found here is a work in progress and is likely to change at any time without prior notice.
-
 Welcome to the **Fraud Intelligence Hackathon**! In this workshop you will explore how agentic AI systems can transform financial compliance — moving from slow, manual review to a continuously monitoring, reasoning, and auditing multi-agent solution. You will build a modern, reusable, Python-based solution with Microsoft Foundry, the Microsoft Agent Framework, MCP, Foundry IQ, and Azure observability services.
 
 ---
@@ -165,11 +163,11 @@ Each challenge follows a consistent structure:
 | # | Challenge | Description | Duration |
 |---|---|---|---|
 | **1** | [Prepare the Environment](./challenges/challenge-01.md) | Validate access to the Azure resources, Microsoft Foundry project, models, data store, and development tools used throughout the hack | 30 min |
-| **2** | [Build the Evidence Enrichment Agent](./challenges/challenge-02.md) | Build a **Financial Evidence MCP** over Azure Cosmos DB, integrate it with the **Evidence Enrichment Agent**, and validate evidence-backed transaction enrichment | 60 min |
-| **3** | [Build the Regulatory Assessment Agent](./challenges/challenge-03.md) | Configure **Foundry IQ** with global, internal, and regional AML sources, then use agentic retrieval to assess rules for both bank account countries | 75 min |
-| **4** | [Build and Orchestrate the Investigation](./challenges/challenge-04.md) | Build the **AML Report Agent**, compose the first three agents with the **Microsoft Agent Framework**, and deploy the orchestration as a Foundry hosted agent | 75 min |
-| **5** | [Govern Models and MCP Servers](./challenges/challenge-05.md) | Introduce the **AI Gateway tier (preview)**, configure model access, proxy the Financial Evidence MCP, create a new MCP from the Fraud Alert Manager API, and add the parallel **Alert Manager Agent** | 75 min |
-| **6** | [Observe Fraud Intelligence](./challenges/challenge-06.md) | Add end-to-end **OTLP tracing**, publish technical and business metrics to **Application Insights**, and build an **Azure Managed Grafana** dashboard for business decision makers | 60 min |
+| **2** | [Build the Evidence Enrichment Agent](./challenges/challenge-02.md) | Build a **Financial Evidence MCP** over Azure Cosmos DB, integrate it with the **Evidence Enrichment Agent**, and validate evidence-backed transaction enrichment | 30 min |
+| **3** | [Build the Regulatory Assessment Agent](./challenges/challenge-03.md) | Configure **Foundry IQ** with global, internal, and regional AML sources, then use agentic retrieval to assess rules for both bank account countries | 45 min |
+| **4** | [Build and Orchestrate the Investigation](./challenges/challenge-04.md) | Build the **AML Report Agent**, compose the first three agents with the **Microsoft Agent Framework**, and deploy the orchestration as a Foundry hosted agent | 45 min |
+| **5** | [Govern Models and MCP Servers](./challenges/challenge-05.md) | Introduce the **AI Gateway tier (preview)**, configure model access, proxy the Financial Evidence MCP, create a new MCP from the Fraud Alert Manager API, and add the parallel **Alert Manager Agent** | 45 min |
+| **6** | [Observe Fraud Intelligence](./challenges/challenge-06.md) | Add end-to-end **OTLP tracing**, publish technical and business metrics to **Application Insights**, and build a **Grafana** dashboard for business decision makers | 30 min |
 
 > **Tip:** While it is possible to rush through the challenges, we encourage you to pause and reflect. Consider how each pattern relates to your own context: what business processes in your environment could benefit from coordinated AI agents? How might agents help orchestrate decisions across teams and systems?
 

03-Azure/01-04-AI/Readme.md

@@ -10,5 +10,6 @@ A collection of MicroHacks focused on AI on Azure and the GitHub + Azure agentic
 * [**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 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.
 * [**Agentic Governance Hub (Citadel framework)**](06_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.
+* [**Fraud Intelligence Multi-Agent System**](07_Fraud_Intelligence/README.md) — Build a Python-based, multi-agent AML investigation workflow with **Microsoft Foundry** and the **Microsoft Agent Framework**: enrich transactions with evidence from **Azure Cosmos DB** through MCP, assess global and country-specific policies with **Foundry IQ**, generate audit-ready reports and operational alerts, govern model and MCP traffic through **AI Gateway**, and monitor outcomes with **Application Insights** and **Grafana Dashboards**.
 
 Collaborators wanted :) — see [CONTRIBUTING.md](../../CONTRIBUTING.md) to add your own.