Fixing index.yml and acrolinx

Author: Randall-Knapp

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

@@ -3,7 +3,7 @@ uid: learn.wwl.introduction-agentic-ai-business-solution-architecture.identify-o
 title: "Identify out-of-box Microsoft AI agents for business"
 metadata:
   title: "Identify Out-of-Box Microsoft AI Agents for Business"
-  description: "Learn how to identify out-of-box Microsoft AI agents, their role in automation, and best practices for leveraging them effectively in business processes."
+  description: "Learn how to identify out-of-box Microsoft AI agents, their role in automation, and best practices for using them effectively in business processes."
   ms.date: 02/02/2026
   author: wwlpublish
   ms.author: rknapp

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

@@ -1,11 +1,11 @@
 **Agentic AI Business Solution Architecture**
 
-AI transformation is more than a technology upgrade—it is 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.
+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.
 
 Architects bridge the gap between business strategy and technical implementation. Their responsibilities include aligning AI initiatives with organizational objectives, designing solutions that integrate AI into existing systems, establishing frameworks for responsible AI governance, and ensuring that solutions are scalable to meet evolving business needs.
 
 Key responsibilities of an AI architect include defining the AI adoption vision and roadmap, ensuring data readiness and governance, integrating AI services with enterprise workflows, implementing responsible AI principles such as fairness and transparency, and monitoring performance through clear KPIs. These responsibilities ensure that AI solutions are both effective and aligned with business priorities.
 
 The AI transformation process typically follows a structured framework: starting from defining business goals, moving to AI strategy development, architecture design, implementation, and finally, monitoring and optimization. This approach ensures that AI adoption is systematic and outcome-driven, supporting long-term business success.
 
-To scale AI across the enterprise, best practices include starting with measurable business outcomes, adopting modular and flexible design principles, prioritizing responsible AI, fostering collaboration among stakeholders, and leveraging Microsoft Azure AI services for speed and reliability. Following these practices enables organizations to maximize the value of their AI investments while maintaining trust and compliance.
+To scale AI across the enterprise, best practices include starting with measurable business outcomes, adopting modular and flexible design principles, prioritizing responsible AI, fostering collaboration among stakeholders, and using Microsoft Azure AI services for speed and reliability. Following these practices enables organizations to maximize the value of their AI investments while maintaining trust and compliance.

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

@@ -54,7 +54,7 @@ Flow: Business Goals → AI Strategy → Architecture Design → Implementation
 
 - Collaborate across teams—data scientists, developers, and business leaders.
 
-- Leverage Azure AI services for speed and reliability.
+- Use Azure AI services for speed and reliability.
 
 **Scaling AI Across the Enterprise**:
 

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

@@ -53,7 +53,7 @@ Microsoft AI technologies empower organizations to innovate, automate, and scale
 
 - Implement with AI responsibly in mind (Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, Accountability ).
 
-- Leverage cloud scalability for enterprise-wide adoption.
+- Use cloud scalability for enterprise-wide adoption.
 
 **References**:
 

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

@@ -6,7 +6,7 @@ By the end of this unit, learners will be able to:
 
 - Understand how these resources accelerate AI adoption and integration.
 
-- Explore tools and practices for leveraging AI agents effectively.
+- Explore tools and practices for using AI agents effectively.
 
 ### Introduction
 
@@ -55,7 +55,7 @@ Out-of-the-box AI agents reduce development time, ensure compliance with best pr
 
 - Ensure **responsible AI principles** (Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, Accountability.).
 
-- Leverage **Azure AI** for scalability and compliance.
+- Use **Azure AI** for scalability and compliance.
 
 **References**:
 

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

@@ -4,11 +4,11 @@ By the end of this unit, learners will be able to:
 
 - Explain what OOB Microsoft AI Agents are and their role in business process automation.
 
-- Identify pre-built AI agents available in Microsoft Copilot Studio.
+- Identify prebuilt AI agents available in Microsoft Copilot Studio.
 
 - Understand how templates and scenario libraries accelerate AI adoption.
 
-- Explore best practices for leveraging AI agents responsibly and effectively.
+- Explore best practices for using AI agents responsibly and effectively.
 
 ### Introduction
 
@@ -18,7 +18,7 @@ Microsoft provides **Out-of-the-Box (OOB) AI Agents** to help organizations quic
 
 **What Are OOB AI Agents?**
 
-- Pre-built AI agents and templates available in **Microsoft Copilot Studio** and** Microsoft 365**
+- Prebuilt AI agents and templates available in **Microsoft Copilot Studio** and** Microsoft 365**
 
 - Designed for common scenarios such as: 
 
@@ -38,7 +38,7 @@ Microsoft provides **Out-of-the-Box (OOB) AI Agents** to help organizations quic
 
 **Key Resources**
 
-- **Copilot Studio:** Explore pre-built agents and customize them for your needs.
+- **Copilot Studio:** Explore prebuilt agents and customize them for your needs.
 
 - **Templates:** Use template fundamentals to create tailored AI solutions.
 
@@ -52,11 +52,11 @@ Microsoft provides **Out-of-the-Box (OOB) AI Agents** to help organizations quic
 
 - Ensure **Responsible AI principles** (Fairness, Reliability and Safety, Privacy and Security, Inclusiveness, Transparency, Accountability).
 
-- Leverage **Azure AI** for scalability and compliance.
+- Use **Azure AI** for scalability and compliance.
 
 **References**:
 
-- [Explore agents pre-built in Microsoft Copilot Studio](https://www.microsoft.com/microsoft-copilot/blog/copilot-studio/explore-agents-pre-built-for-you-in-microsoft-copilot-studio/)
+- [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/)
 - [Copilot Studio template fundamentals - Microsoft Learn](/microsoft-copilot-studio/template-fundamentals)
 - [Microsoft Adoption Scenario Library](https://adoption.microsoft.com/scenario-library/)

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

@@ -32,7 +32,7 @@ _Best Practices for Scaling AI:_
 - 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.
-- Leverage Microsoft Azure AI services for speed, reliability, and enterprise-wide adoption.
+- Use Microsoft Azure AI services for speed, reliability, and enterprise-wide adoption.
 
 _Overview of Microsoft AI Technologies:_
 

learn-pr/wwl/introduction-agentic-ai-business-solution-architecture/index.yml

@@ -2,12 +2,11 @@
 uid: learn.wwl.introduction-agentic-ai-business-solution-architecture
 metadata:
   title: "Introduction to Agentic AI Business Solutions"
-  description: "Learn how to align AI solutions with business goals, scale AI adoption, and leverage Microsoft AI technologies for enterprise success."
+  description: "Learn how to align AI solutions with business goals, scale AI adoption, and use Microsoft AI technologies for enterprise success."
   ms.date: 02/02/2026
   author: wwlpublish
   ms.author: rknapp
   ms.topic: module
-  ms.service: azure-ai-services
 title: "Introduction to agentic AI business solutions"
 summary: Learn to align AI solutions with business goals and scale AI adoption using Microsoft technologies.
 abstract: |
@@ -25,26 +24,26 @@ prerequisites: |
   - Familiarity with enterprise IT environments.
   - Awareness of business strategy and organizational goals.
 iconUrl: /learn/achievements/generic-badge.svg
-levels:
-- intermediate
+levels: 
+- advanced
 roles:
-- solution-architect
 - database-administrator
-- devops-engineer
-- business-leader
-- data-scientist
+- developer
+- administrator
+- solution-architect
+- technology-manager
 products:
-- azure
-- microsoft-copilot-studio
 - microsoft-365-copilot
+- m365
 - microsoft-365-copilot-chat
 - power-platform
+- microsoft-copilot-studio
 subjects:
-- automation
-- machine-learning
 - generative-ai
-- artificial-intelligence
-- business-applications
+- data-analytics
+- data-management
+- data-engineering
+- data-integration
 units:
 - learn.wwl.introduction-agentic-ai-business-solution-architecture.introduction
 - learn.wwl.introduction-agentic-ai-business-solution-architecture.architect-role-ai-transformation-businesses