fix noun modifiers in the selected text

Author: msdavidram

learn-pr/wwl/orchestrate-configuration-prebuilt-agents-apps/includes/2-orchestrate-ai-features-dynamics-365-apps-finance-supply-chain.md

@@ -20,15 +20,15 @@ Sidecar Copilot appears alongside the Finance and Supply Chain apps and supports
 
 #### Architectural considerations
 
-* Optimize prompts with businessdomain vocabulary.
+* Optimize prompts with business-domain vocabulary.
 
-* Apply rolebased access so users only retrieve data appropriate to their permissions.
+* Apply role-based access so users only retrieve data appropriate to their permissions.
 
-* Orchestrate crossmodule queries using standardized entity metadata.
+* Orchestrate cross-module queries using standardized entity metadata.
 
 ## Embedded
 
-Embedded AI brings Copilot capabilities directly inside workspace pages or operational views, enabling contextual, inapp intelligence.
+Embedded AI brings Copilot capabilities directly inside workspace pages or operational views, enabling contextual, in-app intelligence.
 
 ### Examples include
 
@@ -62,9 +62,9 @@ External agents interact with Finance and Supply Chain data beyond the applicati
 
 ### Examples
 
-* Crossapplication automations.
+* Cross-application automations.
 
-* Rolespecific AI copilots in Teams.
+* Role-specific AI copilots in Teams.
 
 * Workflow routing and automated notifications.
 
@@ -98,7 +98,7 @@ External agents interact with Finance and Supply Chain data beyond the applicati
 
 * Change review for confirmed purchase orders
 
-#### CrossApp Capabilities
+#### Cross-App Capabilities
 
 * Generative help
 

learn-pr/wwl/orchestrate-configuration-prebuilt-agents-apps/includes/3-design-ai-solutions-dynamics-365-apps-customer-experience-service.md

@@ -1,10 +1,10 @@
 ## Overview
 
-This unit equips solution architects with expert guidance to design, orchestrate, and scale AIpowered experiences within Dynamics 365 Customer Service and Contact Center. You will learn how to integrate Copilot capabilities, automate service workflows, augment agent productivity, and ensure AI is aligned with customer experience (CX) objectives, governance requirements, and enterprise architecture.
+This unit equips solution architects with expert guidance to design, orchestrate, and scale AI-powered experiences within Dynamics 365 Customer Service and Contact Center. You will learn how to integrate Copilot capabilities, automate service workflows, augment agent productivity, and ensure AI is aligned with customer experience (CX) objectives, governance requirements, and enterprise architecture.
 
 ### This unit focuses on
 
-* Designing serviceoriented AI patterns in Dynamics 365.
+* Designing service-oriented AI patterns in Dynamics 365.
 
 * Using conversational, embedded, and automated AI features to enhance case management, triage, and customer interaction quality.
 
@@ -52,7 +52,7 @@ Copilot provides real-time AI assistance that helps customer service representat
 
 ### Conversational Copilot (Sidecar Model)
 
-A chat based experience that:
+A chat-based experience that:
 
 * Understands agent questions about cases, customers, and policies.
 
@@ -76,7 +76,7 @@ These appear within workspaces such as:
 
 Examples include
 
-* AIdriven case routing
+* AI-driven case routing
 
 * Automatic sentiment tagging
 
@@ -100,7 +100,7 @@ Key design considerations
 
 ## Orchestration Models for Customer Service AI
 
-### Casecentric orchestration
+### Case-centric orchestration
 
 AI anchors around the customer case:
 
@@ -110,7 +110,7 @@ Suggests next actions.
 
 Generates resolution summaries.
 
-### Interactioncentric automation
+### Interaction-centric automation
 
 AI analyzes:
 
@@ -120,7 +120,7 @@ Knowledge article links.
 
 Relevant troubleshooting procedures.
 
-### Multisystem orchestration
+### Multi-system orchestration
 
 AI workflows may require:
 
@@ -130,7 +130,7 @@ Customer Service + Finance (billing / refunds)
 
 Customer Service + Power Automate for escalations
 
-Architects align AI agents with crossdepartmental processes.
+Architects align AI agents with cross-departmental processes.
 
 ## Designing Extensible AI Features
 

learn-pr/wwl/orchestrate-configuration-prebuilt-agents-apps/includes/4-propose-microsoft-365-agents-business-scenarios.md

@@ -1,6 +1,6 @@
 ## Overview
 
-Microsoft 365 agents are task oriented AI assistants that operate inside the Microsoft 365 ecosystem to **retrieve**, **reason**, and **act**—coordinating steps across apps and data to achieve an outcome. Unlike adhoc prompts, well designed agents have:
+Microsoft 365 agents are task-oriented AI assistants that operate inside the Microsoft 365 ecosystem to **retrieve**, **reason**, and **act**—coordinating steps across apps and data to achieve an outcome. Unlike ad-hoc prompts, well-designed agents have:
 
 **A defined mission and scope** (goal, boundaries, and success criteria)
 
@@ -42,7 +42,7 @@ The following five steps should be followed when designing the agents:
 
 * **Define guardrails**<br>Who can invoke it? On what data? When does it ask for approval? How are actions logged and reversed?
 
-* **Prototype the critical path**<br>Start with a narrow "happy path" endtoend slice; test on real artifacts and iterate on prompt patterns.
+* **Prototype the critical path**<br>Start with a narrow "happy path" end-to-end slice; test on real artifacts and iterate on prompt patterns.
 
 * **Operationalize**<br>Add telemetry, quality checks, and cost controls. Move from pilot to production with rollout rings and training.
 
@@ -62,15 +62,15 @@ When proposing any agents,  it's critical to cover all the key aspects for agent
 
 * [FAQ](/copilot/microsoft-365/agent-essentials/m365-agents-faq) - Answers to common questions about Microsoft 365 Copilot agents.
 
-In addition to the Agent Management Essentials components, any agent must include considerations for long term and licensing costs. Identifying all associated costs are critical to setting expectations for the agents. For more information, see [https://learn.microsoft.com/copilot/microsoft-365/microsoft-365-copilot-licensing](/copilot/microsoft-365/microsoft-365-copilot-licensing) 
+In addition to the Agent Management Essentials components, any agent must include considerations for long-term and licensing costs. Identifying all associated costs are critical to setting expectations for the agents. For more information, see [https://learn.microsoft.com/copilot/microsoft-365/microsoft-365-copilot-licensing](/copilot/microsoft-365/microsoft-365-copilot-licensing) 
 
 ## Catalog of Proposed Microsoft 365 Agents (Ready to Pilot)
 
 The following list includes agents that are ready to pilot for organizations and can be used in business scenarios. Before considering any custom agents, out-of-the-box pilots should be assessed to determine whether they'll adequately meet the requirements. 
 
 ## Executive Briefing Pack Generator
 
-Automatically assemble an executive ready briefing pack using the latest organizational updates, program metrics, and strategic highlights.
+Automatically assemble an executive-ready briefing pack using the latest organizational updates, program metrics, and strategic highlights.
 
 ### Entry Point
 
@@ -128,7 +128,7 @@ Provide consolidated insights from project portfolios, highlighting risks, block
 
 ## Content Localization Workpack Builder
 
-Prepare region specific content localization packages, including terminology locks, cultural notes, and source files.
+Prepare region-specific content localization packages, including terminology locks, cultural notes, and source files.
 
 Entry Point
 
@@ -155,7 +155,7 @@ Entry Point
 - Quality consistency across regions
 - Backlog burndown for localization tickets
 
-## ComplianceAware Content Redactor
+## Compliance-Aware Content Redactor
 
 Automatically detect and mask sensitive information before content is shared with training repositories or external reviewers.
 
@@ -173,7 +173,7 @@ Automatically detect and mask sensitive information before content is shared wit
 
 ### Guardrails
 
-- Strict nonwriteback unless user confirms
+- Strict non-writeback unless user confirms
 - Audit trails required for all redactions
 - Can't override applied sensitivity labels
 
@@ -220,11 +220,11 @@ Review ILT or digital learning modules for objective alignment, inclusive langua
 
 * Instructor satisfaction with alignment improvements
 
-* Time saved across multimodule reviews
+* Time saved across multi-module reviews
 
 ## Adoption Scenario and Lab Designer
 
-Generate role-based exercises, handson labs, and scenario walkthroughs for business units adopting Microsoft 365 Copilot.
+Generate role-based exercises, hands-on labs, and scenario walkthroughs for business units adopting Microsoft 365 Copilot.
 
 ### Entry Point<br>
 
@@ -298,9 +298,9 @@ Compile neutral, structured research briefs from internal notes, approved knowle
 
 * Reduction in manual research hours
 
-## 8. TelemetrytoInsights Report Generator
+## 8. Telemetry-to-Insights Report Generator
 
-Transform Copilot adoption telemetry into monthly, slide ready insights and visual summaries for business reviews.
+Transform Copilot adoption telemetry into monthly, slide-ready insights and visual summaries for business reviews.
 
 ### Entry Point
 
@@ -322,15 +322,15 @@ Transform Copilot adoption telemetry into monthly, slide ready insights and visu
 
 * Must use anonymized datasets only
 
-* No user level behavioral insights
+* No user-level behavioral insights
 
 * Visuals require human approval before distribution
 
 * KPIs
 
 * Time saved producing monthly insights deck
 
-* Decision making latency reduced
+* Decision-making latency reduced
 
 * Number of insights adopted by stakeholders
 
@@ -374,19 +374,19 @@ Copy to Excel and chart "Owner effort by phase" as a stacked bar for a quick vis
 
 ## Instructor prompts (use in class)
 
-* "Where would **humanintheloop** checkpoints most reduce risk without blocking flow?"
+* "Where would **human-in-the-loop** checkpoints most reduce risk without blocking flow?"
 
 * "If the agent did nothing else, what **single win** would justify its existence?"
 
-* "Which **data you already trust** would most improve the agent's first run quality?"
+* "Which **data you already trust** would most improve the agent's first-run quality?"
 
 ## References
 
 **Manage Microsoft 365 Copilot scenarios** —admin readiness and control areas to consider when planning enterprise agents.<br>[https://learn.microsoft.com/microsoft-365-copilot/manage-copilot-scenarios](/copilot/microsoft-365/microsoft-365-copilot-page)
 
 **Microsoft 365 Copilot hub** —orientation to Copilot options, Copilot Chat, and agents with adoption resources.<br>[https://learn.microsoft.com/microsoft-365-copilot/](/copilot/microsoft-365/)
 
-**Understand the foundations of generative AI for business leaders** — executive level grounding on value, model basics, and responsible adoption.<br>[https://learn.microsoft.com/training/modules/understand-foundations-generative-ai-business-leaders/](/training/modules/understand-foundations-generative-ai-business-leaders/)
+**Understand the foundations of generative AI for business leaders** — executive-level grounding on value, model basics, and responsible adoption.<br>[https://learn.microsoft.com/training/modules/understand-foundations-generative-ai-business-leaders/](/training/modules/understand-foundations-generative-ai-business-leaders/)
 
 [Microsoft 365 Copilot Agent Management Essentials | Microsoft Learn](/copilot/microsoft-365/agent-essentials/agent-essentials-overview)
 

learn-pr/wwl/orchestrate-configuration-prebuilt-agents-apps/includes/5-orchestrate-configuration-microsoft-365-copilot-sales-service.md

@@ -1,8 +1,8 @@
 ##  Overview
 
-This unit equips solution architects with the knowledge and framework required to orchestrate, configure, and operationalize Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service. You will explore architectural foundations, data readiness requirements, configuration steps, governance guardrails, and realworld workflow orchestration patterns that elevate frontline seller and service agent productivity.
+This unit equips solution architects with the knowledge and framework required to orchestrate, configure, and operationalize Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service. You will explore architectural foundations, data readiness requirements, configuration steps, governance guardrails, and real-world workflow orchestration patterns that elevate frontline seller and service agent productivity.
 
-The unit emphasizes an architecturefirst approach—aligning data sources, rolebased access controls, Power Platform extensibility, and Dynamics 365 ecosystem integration—to ensure Copilot delivers reliable, secure, and measurable business outcomes.
+The unit emphasizes an architecture-first approach—aligning data sources, role-based access controls, Power Platform extensibility, and Dynamics 365 ecosystem integration—to ensure Copilot delivers reliable, secure, and measurable business outcomes.
 
 ## Architecture Foundations for Copilot in Sales and Service
 
@@ -108,7 +108,7 @@ Suggested Actions → Agent Review → Resolution Logged
 
 * Cross-system automation for approvals, notifications, escalations.
 
-* Pre- and post-processing flows for Copilotgenerated content.
+* Pre- and post-processing flows for Copilot-generated content.
 
 ## Governance and Guardrails
 
@@ -118,7 +118,7 @@ Suggested Actions → Agent Review → Resolution Logged
 
 * Use DLP policies to prevent data leakage outside the tenant.
 
-* Maintain clear audit trails for all Copilotgenerated actions.
+* Maintain clear audit trails for all Copilot-generated actions.
 
 * Ensure data residency and retention policies align with enterprise compliance.
 

learn-pr/wwl/orchestrate-configuration-prebuilt-agents-apps/includes/6-propose-microsoft-power-platform-ai-features-ai-hub.md

@@ -1,6 +1,6 @@
 ## Overview
 
-This unit equips **solution architects** with the expertise to identify, evaluate, and propose Microsoft Power Platform AI capabilities—including the **AI hub**, **Copilot experiences**, and **AI Builder**—as part of enterprisegrade, scalable AI solution designs.
+This unit equips **solution architects** with the expertise to identify, evaluate, and propose Microsoft Power Platform AI capabilities—including the **AI hub**, **Copilot experiences**, and **AI Builder**—as part of enterprise-grade, scalable AI solution designs.
 
 You will learn how to map Power Platform AI features to business outcomes, integrate them within secure environments, and architect extensible solutions that support automation, content generation, predictions, and natural language interaction across business applications.
 
@@ -12,11 +12,11 @@ You will learn how to map Power Platform AI features to business outcomes, integ
 
 **AI Hub**<br>The central experience for managing, discovering, and orchestrating AI within Power Platform—connecting models, copilots, and automation.
 
-**Copilot in Power Platform**<br>Naturallanguage-driven creation of apps, flows, tables, controls, and logic.
+**Copilot in Power Platform**<br>Natural-language-driven creation of apps, flows, tables, controls, and logic.
 
 **AI Builder**<br>A collection of prebuilt and customizable AI models for classification, prediction, extraction, detection, translation, and document understanding.
 
-**Copilot Studio**<br>Lowcode conversational agent creation with extensibility into Microsoft 365 and external systems.
+**Copilot Studio**<br>Low-code conversational agent creation with extensibility into Microsoft 365 and external systems.
 
 ## The AI Hub Orchestration for Enterprise AI
 
@@ -30,15 +30,15 @@ The AI hub is a unified workspace for organizations to:
 
 * Promote consistent, secure, monitored use of AI at scale
 
-* Provide guided paths for building AIdriven apps and flows
+* Provide guided paths for building AI-driven apps and flows
 
 ## AI Builder Extending Intelligence Across the Platform
 
 AI Builder enables solution architects to incorporate intelligence into solutions using:
 
 ### Prebuilt Models
 
-Useful for rapid prototyping or highvolume automation, including:
+Useful for rapid prototyping or high-volume automation, including:
 
 * Document processing
 
@@ -56,7 +56,7 @@ Useful for rapid prototyping or highvolume automation, including:
 
 ### Custom Models
 
-Configured with organizationspecific data for:
+Configured with organization-specific data for:
 
 * Prediction (e.g., churn, lead scoring)
 
@@ -110,7 +110,7 @@ Solution architects must plan:
 
 ### Copilot Studio
 
-* Build custom copilots with multiturn reasoning
+* Build custom copilots with multi-turn reasoning
 
 * Integrate external data sources, APIs, and connectors
 
@@ -120,15 +120,15 @@ Solution architects must plan:
 
 ## Solution Architect Responsibilities
 
-Solution architects must ensure AI solutions meet enterprisegrade requirements:
+Solution architects must ensure AI solutions meet enterprise-grade requirements:
 
 ### Governance & Security
 
 * Implement environment strategy
 
 * Apply sensitivity labels and DLP rules
 
-* Define rolebased access
+* Define role-based access
 
 * Validate connector usage
 

learn-pr/wwl/orchestrate-configuration-prebuilt-agents-apps/includes/7-design-interoperability-finance-operations-agent-chats-sources.md

@@ -1,6 +1,6 @@
 ## Overview
 
-Dynamics 365 Finance & Operations now supports **Copilot client plugins**, enabling solution architects to extend the builtin F&O agent with **additional knowledge sources**, **custom actions**, and **domainspecific logic**.
+Dynamics 365 Finance & Operations now supports **Copilot client plugins**, enabling solution architects to extend the built-in F&O agent with **additional knowledge sources**, **custom actions**, and **domain-specific logic**.
 
 This unit equips learners to design interoperable agent experiences that combine:
 
@@ -10,11 +10,11 @@ This unit equips learners to design interoperable agent experiences that combine
 
 * Custom business logic
 
-* Pluginbased actions
+* Plugin-based actions
 
 * Secure, governed access patterns
 
-The goal is to help organizations create richer, more accurate, and more contextaware AI experiences inside F&O agent chats.
+The goal is to help organizations create richer, more accurate, and more context-aware AI experiences inside F&O agent chats.
 
 By the end of this unit, learners will be able to:
 
@@ -86,7 +86,7 @@ Examples
 
 * Standard operating procedures
 
-### B. LineofBusiness Systems
+### B. Line-of-Business Systems
 
 Using plugins or APIs
 
@@ -106,7 +106,7 @@ Using plugins or APIs
 
 * Azure Cognitive Search indexes
 
-### D. DomainSpecific Content
+### D. Domain-Specific Content
 
 Compliance rules
 
@@ -138,7 +138,7 @@ These sources help the agent answer questions that F&O alone cannot.
 
 * Enforce business logic
 
-* Support multistep workflows
+* Support multi-step workflows
 
 ### Plugin Design Considerations