Revise introduction for AI solutions evaluation module

Updated the overview section of the AI-powered business solutions module to enhance clarity and structure.

Author: pablorodMS

learn-pr/wwl/evaluate-costs-benefits-ai-powered-business-solution/includes/1-introduction.md

@@ -6,16 +6,16 @@ The module comprises three key units, each addressing a critical aspect of the e
 
 ### 1. Select ROI Criteria for AI-Powered Business Solutions, Including Total Cost of Ownership (TCO)
 
-This unit introduces the foundational concepts of Return on Investment (ROI) and Total Cost of Ownership (TCO) in the context of AI solutions. Learners will explore how to define ROI criteria that reflect measurable business value, technical feasibility, and long-term sustainability. The unit synthesizes guidance from agent analytics, ROI forecasting frameworks, and cost-driver models, enabling architects to select appropriate criteria that balance financial, strategic, and time-based value against lifetime costs.
+This unit introduces the foundational concepts of Return on Investment (ROI) and Total Cost of Ownership (TCO) in the context of AI solutions. Learners explore how to define ROI criteria that reflect measurable business value, technical feasibility, and long-term sustainability. The unit synthesizes guidance from agent analytics, ROI forecasting frameworks, and cost-driver models, enabling architects to select appropriate criteria that balance financial, strategic, and time-based value against lifetime costs.
 
 ### 2. Create an ROI Analysis for the Proposed AI Solution for a Business Process
 
-Building on the previous unit, this section provides a structured approach for constructing a complete ROI analysis. Solution architects will learn to quantify measurable value such as time savings, cost reductions, and automation gains using tools like Microsoft's agent savings analytics. The unit emphasizes the integration of structured ROI frameworks and the alignment of projected benefits with practical TCO components, ensuring that analyses are robust, data-backed, and suitable for executive decision-making.
+Building on the previous unit, this section provides a structured approach for constructing a complete ROI analysis. Solution architects learn to quantify measurable value such as time savings, cost reductions, and automation gains using tools like Microsoft's agent savings analytics. The unit emphasizes the integration of structured ROI frameworks and the alignment of projected benefits with practical TCO components, ensuring that analyses are robust, data-backed, and suitable for executive decision-making.
 
 ### 3. Analyze Whether to Build, Buy, or Extend AI Components for Business Solutions
 
-The final unit addresses the strategic decision of whether to build custom AI components, buy prebuilt solutions, or extend existing platforms. Learners will engage with a structured decision framework that considers organizational strategy, cost structure, and extensibility models. Through comparative analysis, solution architects will be able to select the optimal approach balancing cost, time-to-value, risk, scalability, and long-term sustainability for each business process.
+The final unit addresses the strategic decision of whether to build custom AI components, buy prebuilt solutions, or extend existing platforms. Learners engage with a structured decision framework that considers organizational strategy, cost structure, and extensibility models. Through comparative analysis, solution architects will be able to select the optimal approach balancing cost, time-to-value, risk, scalability, and long-term sustainability for each business process.
 
-Throughout the module, participants will apply industry best practices, leverage analytics tools, and engage with real-world scenarios to develop actionable insights. Knowledge checks and reflection questions are provided to reinforce learning and encourage critical evaluation of the concepts presented.
+Throughout the module, participants apply industry best practices, leverage analytics tools, and engage with real-world scenarios to develop actionable insights. Knowledge checks and reflection questions are provided to reinforce learning and encourage critical evaluation of the concepts presented.
 
-By the end of this module, learners will possess the skills and methodologies necessary to evaluate AI investments holistically ensuring that both the benefits and costs are rigorously considered and aligned with strategic business objectives.
+By the end of this module, learners possess the skills and methodologies necessary to evaluate AI investments holistically ensuring that both the benefits and costs are rigorously considered and aligned with strategic business objectives.