Revise Retail Remediation description in README

Updated the Retail Remediation section to reflect changes in the approach for managing workflows and customer satisfaction.

Author: Eunice-Chinchilla

README.md

@@ -153,7 +153,7 @@ By using the *Multi-Agent Custom Automation Engine* solution accelerator, users
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 | Product Marketing | Marketing Executive | Marketing release plans require input from multiple teams (engineering, design, compliance), which often leads to delays and misalignment. Traditional planning involves repetitive tasks like drafting timelines, assigning owners, and validating compliance, which are prone to mistakes. | Through an agentic approach the Multi-agent speeds up release planning by automating repetitive tasks and enhances collaboration with dynamic agent teams that adapt to campaign needs. |
 | Onboarding Employee | HR Manager | Traditional onboarding involves multiple disconnected steps—HR paperwork, IT setup, compliance training—which often require manual coordination and lead to delays. Manual steps slow collaboration and increase overhead, reducing efficiency and employee experience. | Designed to streamline the complex process of bringing new hires into an organization using a modular, agentic architecture. |
-| Retail Remediation | Customer Success Manager | This approach is seeking a smarter way to manage workflows and ensure customer satisfaction. Challenges include difficulty engaging the right agents, inefficiencies from manual processes, fragmented data, and limited security controls. | Using the Multi-Agent Custom Automation Engine, the Customer Success Manager recruits intelligent agents to automate complex migration tasks. The platform’s modular design and reasoning capabilities allow for analyzing dependencies, planning transitions, and reducing manual rework. |
+| Retail Remediation | Customer Success Manager | This approach is seeking a smarter way to manage workflows and ensure customer satisfaction. Challenges include difficulty engaging the right agents, inefficiencies from manual processes, fragmented data, and limited security controls. | Using the Multi-Agent Custom Automation Engine, the Customer Success Manager recruits intelligent agents to analyze satisfaction and recommend steps for remediation. The platform’s modular design and reasoning capabilities allow for analyzing dependencies, planning transitions, and reducing manual rework. |
 | RFP Reviewer  | VP of Finance  | Reviewing RFPs manually under tight deadlines is challenging. Compliance checks and risk assessments slow progress, leaving critical gaps and delaying decisions. | Multi-Agent RFP Reviewer is an intelligent platform addresses these issues by deploying AI agents to review RFPs, identify risks, recommend remediation, and execute actions seamlessly - transforming a labor-intensive process into a fast, accurate, and compliant workflow. |
 | Legal Contract Reviewer | Legal Counsel  | Reviewing Legal Contracts manually under tight deadlines is challenging. Compliance checks and risk assessments slow progress, leaving critical gaps and delaying decisions. | Multi-Agent Legal Contract Reviewer is an intelligent platform addresses these issues by deploying AI agents to review Legal Contracts, identify risks, recommend remediation, and execute actions seamlessly - transforming a labor-intensive process into a fast, accurate, and compliant workflow. |