What challenges did RSM face before AI implementation?

Quality-control-related costs can account for up to 40% of total operational expenses in manufacturing. Increasing product complexity and tightening regulations demand updated quality and recall management. Difficulty in identifying affected product batches and root causes quickly. Time-consuming, manual processes for recall notifications. Need for reliable security, compliance, and accurate data handling in quality management.

What was the impact of the AI solution?

Enabled manufacturers to accelerate investigations and recalls by automating detection and alerting processes. Improved regulatory compliance and reporting accuracy. Protected brand reputation through timely recalls and transparent communications. Facilitated proactive quality improvement via actionable analytics.

Rank#39of 3,107

Source

Microsoft

RSM streamlines recall and quality management for manufacturers

Use case typeOnboarding automationUpdated Jun 13, 2026

RSM deploys advanced Copilot Agents in manufacturing to reduce quality risks and manage product recalls. AI-powered agents analyze real-time data, identify affected product batches, pinpoint root causes, and automate recall notifications—all with seamless integration to existing Quality Management Systems (QMS), ERPs, and CRM tools. Their technical architecture includes layering data sources, Copilot intelligence (Copilot Studio, Power Platform, Power Automate), and user interfaces in Teams, Outlook, or Dynamics 365. AI models and Copilot Studio guide agents through user prompts, system actions, and automated event triggers. Security is ensured via Entra ID authentication, data loss prevention, and role-based access for generative AI. Retrieval-Augmented Generation (RAG) capabilities allow accurate processing for both structured (quality orders, ERP records) and unstructured (documents, feedback) data. Governance processes retain humans-in-the-loop for decisions with validation, filters for sensitive topics, and performance monitoring, ensuring compliance and reliability. These innovations accelerate investigations and recalls, improve regulatory alignment, and protect corporate brands in a highly regulated environment. RSM offers custom Copilot solutions for manufacturers seeking operational transformation and competitive advantage.

Organization: RSM
Industry: Manufacturing
Location: United States
Published: May 2025

Reported outcomes

Strategic outcomes

Speed & agilityAccelerated investigations and recallsRisk & complianceImproved regulatory compliance and reportingCustomer experience & trustProtected brand reputationBetter decisions & insightEnabled proactive quality improvement

Primary read

Use case focus

Showing 3 of 3

1Automated recall management for manufacturers
2AI-driven root cause analysis
3Real-time quality batch identification using Copilot Agents

Quality-control-related costs can account for up to 40% of total operational expenses in manufacturing.
Increasing product complexity and tightening regulations demand updated quality and recall management.
Difficulty in identifying affected product batches and root causes quickly.
Time-consuming, manual processes for recall notifications.
Need for reliable security, compliance, and accurate data handling in quality management.

Developed Copilot Agents to analyze data and provide real-time insights into product batches and root causes.
Automated recall notifications integrated directly with QMS, ERP, and CRM platforms.
Used Copilot Studio, Power Platform, Power Automate to orchestrate workflows and responses.
Implemented Retrieval-Augmented Generation for unstructured and structured quality data processing.
Applied security best practices: Entra ID, DLP, connector authentication, and role-based AI access.

Technologies

Microsoft 365 Copilot Dynamics 365 Power Platform Copilot Studio

Enabled manufacturers to accelerate investigations and recalls by automating detection and alerting processes.
Improved regulatory compliance and reporting accuracy.
Protected brand reputation through timely recalls and transparent communications.
Facilitated proactive quality improvement via actionable analytics.

Architecture

A three-layered architecture using data and knowledge sources (internal systems, SOPs, reports, regulations); Copilot Intelligence (Copilot Studio, Power Platform, Power Automate for AI-driven actions and workflows); and User Interface (Teams, Outlook, Dynamics 365). Handles both structured and unstructured data via Retrieval-Augmented Generation (RAG), integrated with Quality Management Systems, ERPs, and CRM tools.

Sources & evidence1

Groundedness: 4/5

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence