Fixing PR Review blocking issues.

Author: Randall-Knapp

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/1-introduction.md

@@ -1,4 +1,4 @@
-**Agentic AI Business Solution Architecture**
+## Agentic AI business solution architecture
 
 AI transformation is more than a technology upgrade—it's a strategic shift that significantly impacts business processes, people, and organizational culture. In this evolving landscape, architects play a pivotal role in ensuring AI solutions deliver measurable business value while maintaining compliance, scalability, and security.
 

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/2-architect-role-ai-transformation-businesses.md

@@ -1,4 +1,4 @@
-### Learning Objectives
+### Learning objectives
 
 By the end of this unit, learners will be able to:
 
@@ -14,7 +14,7 @@ By the end of this unit, learners will be able to:
 
 AI transformation is more than a technology upgrade—it's a strategic shift that impacts processes, people, and culture. Architects play a pivotal role in ensuring AI solutions deliver measurable business value while maintaining compliance, scalability, and security.
 
-### Architect's Role in AI Transformation
+### Architect's role in AI transformation
 
 Architects bridge the gap between business strategy and technical implementation. Their responsibilities include:
 
@@ -26,7 +26,7 @@ Architects bridge the gap between business strategy and technical implementation
 
 - Scalability: Design solutions that grow with business needs.
 
-**AI Architect Responsibilities**
+**AI architect responsibilities**
 
 | **Responsibility** | **Description** |
 |---|---|
@@ -36,15 +36,15 @@ Architects bridge the gap between business strategy and technical implementation
 | **Security & Ethics** | Implement responsible AI principles |
 | **Performance Monitoring** | Establish KPIs and monitor effectiveness |
 
-**AI Transformation Framework**
+**AI transformation framework**
 
 Flow: Business Goals → AI Strategy → Architecture Design → Implementation → Monitoring & Optimization
 
 :::image type="content" source="../media/ai-framework-flow.png" alt-text="Diagram showing the AI transformation framework flow from business goals through monitoring and optimization.":::
 
 [Cloud Adoption Framework for AI](/azure/cloud-adoption-framework/scenarios/ai/)
 
-**Best Practices for AI Architects:**
+**Best practices for AI architects**
 
 - Start with business outcomes—focus on measurable impact.
 
@@ -56,7 +56,7 @@ Flow: Business Goals → AI Strategy → Architecture Design → Implementation
 
 - Use Azure AI services for speed and reliability.
 
-**Scaling AI Across the Enterprise**:
+**Scaling AI across the enterprise**
 
 - **Automation:** Streamline deployment and monitoring.
 
@@ -66,7 +66,7 @@ Flow: Business Goals → AI Strategy → Architecture Design → Implementation
 
 - **User training**: Enable a culture of continuous user learning
 
-**References**:
+**References**
 
 - [Azure Data and Architect Handbook](https://info.microsoft.com/ww-landing-Azure-Data-and-Architect-Handbook.html)
 - [Microsoft AI](https://www.microsoft.com/ai)

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/3-microsoft-ai-technologies-overview.md

@@ -1,4 +1,4 @@
-### Learning Objectives
+### Learning objectives
 
 By the end of this unit, learners will be able to:
 
@@ -12,9 +12,9 @@ By the end of this unit, learners will be able to:
 
 Microsoft AI technologies empower organizations to build intelligent solutions that enhance productivity, improve decision-making, and deliver measurable business value. This unit introduces key Azure AI services, development tools, and Copilot solutions that integrate AI into everyday workflows.
 
-### Core Components of Microsoft AI Technologies
+### Core components of Microsoft AI technologies
 
-**Azure AI Services**:
+**Azure AI services**
 
 - **Cognitive Services**: Prebuilt APIs for Vision, Speech, Language, and Decision.
 
@@ -24,15 +24,15 @@ Microsoft AI technologies empower organizations to build intelligent solutions t
 
 - **Azure Foundry:** A platform designed to develop, deploy, and management of AI applications and agents.
 
-**Tools and SDKs**:
+**Tools and SDKs**
 
 - **Azure Machine Learning Studio**: Visual interface for model development and deployment.
 
 - **SDKs and APIs**: Available in  multiple languages to integrate AI into applications.
 
 - **CLI and REST APIs**: For automation and integration with enterprise workflows.
 
-**Microsoft Copilot Solutions**
+**Microsoft Copilot solutions**
 
 - Embedded AI in **Microsoft 365** and **Dynamics 365**.
 
@@ -42,11 +42,11 @@ Microsoft AI technologies empower organizations to build intelligent solutions t
 
 - Microsoft 365, Copilot Studio, and Azure Foundry for native AI throughout an organization.
 
-**Microsoft AI Ecosystem**
+**Microsoft AI ecosystem**
 
 :::image type="content" source="../media/microsoft-ai-agent-ecosystem.png" alt-text="Diagram showing the Microsoft AI agent ecosystem and its key components.":::
 
-**Key Components**
+**Key components**
 
 | **Component** | **Purpose** |
 |---|---|
@@ -55,7 +55,7 @@ Microsoft AI technologies empower organizations to build intelligent solutions t
 | **Azure OpenAI Service** | Generative AI for text and creativity |
 | **Copilot Solutions** | Embedded AI for productivity |
 
-**References**:
+**References**
 
 - [Azure AI services - Microsoft Learn](/training/modules/prepare-azure-ai-development/3-azure-ai-services)
 - [Tools and SDKs - Microsoft Learn](/training/modules/prepare-azure-ai-development/5-tools-and-sdks)

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/4-microsoft-ai-technologies-business-solutions.md

@@ -1,4 +1,4 @@
-**Learning Objectives**
+## Learning objectives
 
 By the end of this unit, learners will be able to:
 
@@ -12,33 +12,33 @@ By the end of this unit, learners will be able to:
 
 Microsoft AI technologies empower organizations to innovate, automate, and scale business processes. From Azure AI services to Copilot solutions, these tools help businesses deliver measurable outcomes, improve decision-making, and enhance productivity.
 
-### Core Components of Microsoft AI Technologies
+### Core components of Microsoft AI technologies
 
-**1. Azure AI Services**
+**Azure AI services**
 
 - **Cognitive Services:** Prebuilt APIs for vision, speech, language, and decision-making.
 
 - **Azure Machine Learning:** Tools for building, training, and deploying machine learning models.
 
 - **Azure OpenAI Service:** Access advanced generative AI models for natural language and creative tasks.
 
-**2. Generative AI for Productivity**
+**Generative AI for productivity**
 
 - Automates repetitive tasks.
 
 - Generates content and insights.
 
 - Enhances collaboration across teams.
 
-**3. AI Business Solutions**
+**AI business solutions**
 
 - Embedded AI in Microsoft 365 and Dynamics 365.
 
 - Copilot solutions streamline workflows and improve efficiency.
 
 :::image type="content" source="../media/microsoft-ai-agent-ecosystem.png" alt-text="Diagram showing the Microsoft AI agent ecosystem with Copilot solutions, Azure AI services, and tools and SDKs.":::
 
-**Key Components**
+**Key components**
 
 | **Component** | **Purpose** |
 |---|---|
@@ -47,15 +47,15 @@ Microsoft AI technologies empower organizations to innovate, automate, and scale
 | **Azure OpenAI Service** | Generative AI for text and creativity |
 | **Copilot Solutions** | Embedded AI for productivity |
 
-**Best Practices for Business Value**
+**Best practices for business value**
 
 - Start with measurable business outcomes.
 
 - Implement with AI responsibly in mind (Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, Accountability ).
 
 - Use cloud scalability for enterprise-wide adoption.
 
-**References**:
+**References**
 
 - [Generative AI for productivity - Microsoft Learn](/training/modules/generative-ai-productivity/)
 - [Create business value with AI - Microsoft Learn](/training/modules/create-business-value/)

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/5-identify-out-of-box-microsoft-ai-agent-resources.md

@@ -1,4 +1,4 @@
-### Learning Objectives
+### Learning objectives
 
 By the end of this unit, learners will be able to:
 
@@ -14,31 +14,31 @@ Microsoft provides a range of **out-of-the-box AI agent resources** designed to
 
 Out-of-the-box AI agents reduce development time, ensure compliance with best practices, and enable scalability across enterprise environments.
 
-### Key Components of OOB AI Agent Resources
+### Key components of OOB AI agent resources
 
-**1. Prebuilt AI Agents**
+**Prebuilt AI agents**
 
 - Available through **Microsoft Copilot Studio** and integrated into **Dynamics 365** and **Microsoft 365**.
 
 - Designed for common business scenarios such as customer service, sales automation, and workflow optimization.
 
-**2. AI Tools and Practices**
+**AI tools and practices**
 
 - **Azure AI Services**: Vision, Speech, Language, and Decision APIs.
 
 - **Azure Machine Learning**: Build, train, and deploy models.
 
 - **OpenAI Service**: Access generative AI for natural language tasks.
 
-**3. Templates and Scenario Libraries**
+**Templates and scenario libraries**
 
 - Ready-to-use templates for creating custom agents.
 
 - Scenario libraries for business process automation and adoption strategies.
 
 :::image type="content" source="../media/microsoft-ai-agent-ecosystem.png" alt-text="Diagram showing the Microsoft AI agent ecosystem with prebuilt agents, Azure AI services, and scenario libraries.":::
 
-**OOB AI Agent Resources**
+**OOB AI agent resources**
 
 | **Resource** | **Purpose** |
 |---|---|
@@ -47,7 +47,7 @@ Out-of-the-box AI agents reduce development time, ensure compliance with best pr
 | **Azure AI Services** | Vision, Speech, Language, Decision capabilities |
 | **Scenario Library** | Best practices and adoption guides |
 
-**Best Practices**
+**Best practices**
 
 - Start with **business outcomes** before selecting tools.
 
@@ -57,7 +57,7 @@ Out-of-the-box AI agents reduce development time, ensure compliance with best pr
 
 - Use **Azure AI** for scalability and compliance.
 
-**References**:
+**References**
 
 - [Microsoft AI tools and practices](https://www.microsoft.com/ai/tools-practices)
 - [Azure AI training - Microsoft Learn](/training/azure-ai)

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/6-identify-out-of-box-microsoft-ai-agents.md

@@ -1,4 +1,4 @@
-### Learning Objectives
+### Learning objectives
 
 By the end of this unit, learners will be able to:
 
@@ -14,9 +14,9 @@ By the end of this unit, learners will be able to:
 
 Microsoft provides **Out-of-the-Box (OOB) AI Agents** to help organizations quickly integrate AI into their workflows without starting from scratch. These agents are designed to automate common business processes, improve efficiency, and ensure compliance with responsible AI principles.
 
-### Core Concepts
+### Core concepts
 
-**What Are OOB AI Agents?**
+**What are OOB AI agents**
 
 - Prebuilt AI agents and templates available in **Microsoft Copilot Studio** and **Microsoft 365**
 
@@ -36,15 +36,15 @@ Microsoft provides **Out-of-the-Box (OOB) AI Agents** to help organizations quic
 
 - **Compliance:** Align with Microsoft's Responsible AI standards.
 
-**Key Resources**
+**Key resources**
 
 - **Copilot Studio:** Explore prebuilt agents and customize them for your needs.
 
 - **Templates:** Use template fundamentals to create tailored AI solutions.
 
 - **Scenario Library:** Access adoption guides and best practices for enterprise AI.
 
-**Best Practices**
+**Best practices**
 
 - Start with **business outcomes** before selecting tools.
 
@@ -54,7 +54,7 @@ Microsoft provides **Out-of-the-Box (OOB) AI Agents** to help organizations quic
 
 - Use **Azure AI** for scalability and compliance.
 
-**References**:
+## References
 
 - [Explore agents prebuilt in Microsoft Copilot Studio](https://www.microsoft.com/microsoft-copilot/blog/copilot-studio/explore-agents-prebuilt-for-you-in-microsoft-copilot-studio/)
 - [Transform work with autonomous agents - Dynamics 365 Blog](https://www.microsoft.com/dynamics-365/blog/business-leader/2024/10/21/transform-work-with-autonomous-agents-across-your-business-processes/)

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/includes/8-summary.md

@@ -1,12 +1,12 @@
 This module provides a comprehensive overview of the strategic and architectural foundations required for successful AI transformation in business environments, with a focus on Microsoft technologies and best practices.
 
-**Key Takeaways**
+**Key takeaways**
 
-_AI Transformation as a Strategic Shift:_
+_AI transformation as a strategic shift_
 
 AI adoption is not merely a technology upgrade but a strategic initiative that impacts business processes, people, and organizational culture. Success requires clear alignment with business goals and measurable outcomes.
 
-_Role of the AI Architect:_
+_Role of the AI architect_
 
 Architects are pivotal in bridging business strategy with technical implementation. Their responsibilities include:
 
@@ -16,7 +16,7 @@ Architects are pivotal in bridging business strategy with technical implementati
 - Implementing responsible AI principles (fairness, transparency, accountability).
 - Monitoring performance through key performance indicators (KPIs).
 
-_Framework for AI Transformation:_
+_Framework for AI transformation_
 
 A structured approach is essential, typically following these stages:
 
@@ -26,15 +26,15 @@ A structured approach is essential, typically following these stages:
 - Implement solutions.
 - Monitor and optimize for continuous improvement.
 
-_Best Practices for Scaling AI:_
+_Best practices for scaling AI_
 
 - Start with measurable business outcomes.
 - Adopt modular and flexible design principles for scalability.
 - Prioritize responsible AI to ensure compliance and trust.
 - Foster collaboration among stakeholders, including data scientists, developers, and business leaders.
 - Use Microsoft Azure AI services for speed, reliability, and enterprise-wide adoption.
 
-_Overview of Microsoft AI Technologies:_
+_Overview of Microsoft AI technologies_
 
 Core Microsoft AI offerings include:
 
@@ -44,12 +44,12 @@ Core Microsoft AI offerings include:
 - Copilot Solutions: Embedded AI in Microsoft 365 and Dynamics 365, automating workflows and enhancing productivity.
 - Azure Foundry and Copilot Studio: Platforms for developing, deploying, and managing AI applications and agents.
 
-_Out-of-the-Box (OOB) AI Agent Resources:_
+_Out-of-the-box (OOB) AI agent resources_
 
 Microsoft provides prebuilt AI agents, templates, and scenario libraries through Copilot Studio and Azure AI, enabling rapid deployment and integration.
 
 These resources help automate common business processes, reduce development time, and ensure responsible AI compliance.
 
-_Responsible AI Principles:_
+_Responsible AI principles_
 
 Responsible AI is fundamental, emphasizing fairness.