Microsoft Scenario Library Customer Service Document compliance agent

Available with: Copilot Studio

Customer Service scenario: Document compliance agent

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Scenario

Using AI Agents to create a document compliance agent

Monitor and analyze documents to prevent compliance violations and recommend process improvements.

1. Compliance monitoring

Continuously monitors customer service documents (ex: customer service scripts, dispute resolutions reports, etc.) for potential compliance violations against compliance benchmarks.

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AI Agent

Automatically flags potential compliance issues before they become violations.

Alerts customer support reps and supervisors in real-time when compliance steps are missed.

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AI Agent

Notifies agents in real time when compliance protocols aren’t followed.

Suggests compliant alternatives to documents based on company guidelines.

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AI Agent

Provides compliant alternatives instantly to help agents correct issues without delay.

Stores compliance check history, suggested edits, user overrides, and approvals in an auditable log.

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AI Agent

Maintains a searchable audit trail for transparency, reviews, and accountability.

KPIs

Opportunity to impact key functional area KPIs

How Microsoft Copilot can help reduce calls

Organizations can use Copilot to develop self-service options for customers whether that is natural language search on a website or automated call systems. These solutions can reduce the number of calls that require a customer service agent.​
Self-service bots​
  • Create knowledge databases that Copilot can access​
  • Use web-based chat bots or call automation.​

How Microsoft Copilot can help CSAT

Microsoft Copilot can improve customer satisfaction by providing real-time AI assistance for faster issue resolution, generating personalized email responses, analyzing customer feedback, and allowing agents to focus on delivering high-quality service.
Incorporate feedback
  • Rapidly analyze customer feedback
  • Quickly create recommendations
  • Swiftly update scripts and processes
  • Create communications to socialize the changes

How Microsoft Copilot can help service quality scores

AI is elevating service quality in the professional services industry by enabling smarter, more efficient, and customer-centric operations.
Analyze trends
  • Rapidly identify themes and trends
  • Access data from multiple data sources using single interface
  • Recommend actions to address pain points using customer data, past service interactions and knowledge database
  • Analyze agent effectiveness

How Microsoft Copilot can help reduce average resolution times

Microsoft Copilot can help with lowering resolution times which in turn leads to increased agent productivity and higher customer satisfaction rates.
Boost productivity
  • Rapidly research customer interactions
  • Create first drafts faster
  • Check for similar issues and resolutions
  • Quickly send follow-up communications

How Copilot can help improve first call resolution

In customer service, First Call Resolution (FCR) is a game changer because it improves customer satisfaction, enhances agent efficiency, and fosters long-term customer loyalty.
Improve customer satisfaction
  • Diagnose a problem quickly using external and internal databases
  • Automated analysis using customer data and knowledge base
  • Quicker and more accurate draft responses based on historical resolution data
  • Proactive and personalized follow-up communications

1Access Microsoft 365 Copilot Chat at m365copilot.com, or the Microsoft 365 Copilot Chat mobile app and set toggle to “Web”.

2Access Microsoft 365 Copilot Chat at m365copilot.com, the Microsoft 365 Copilot Chat mobile app, or the Microsoft 365 Copilot Chat app in Teams, and set toggle to “Work”.

3AI Agents allow Copilot to access your organization-specific apps. In the past this would have required an API call to get data from a system of record.

The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.