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Quality Evaluation Agent in Dynamics 365: improving Customer Service with Autonomous AI

6 minutes
/ Dec 29, 2025
In this article:
Paweł_Nasiadka_www (3)
by Paweł Nasiadka
Tech Evangelist
Paweł is an expert specializing in AI Agents and Copilots, helping organizations enhance sales processes, deliver smarter customer experiences, and leverage Dynamics 365 and AI solutions to drive business growth.

Customer experience is one of the main reasons people stay loyal to a brand – or leave it. Today, businesses compete less on price and more on how well they support their customers. 

Customer service teams, however, face growing complexity. Conversations happen across email, chat, phone, and social media, often at high volume. Managers need to maintain consistent quality, but manual reviews are slow, subjective, and cover only a small portion of interactions. 

AI-powered quality monitoring helps close this gap. By reviewing more conversations and highlighting issues early, teams can improve performance without adding manual work. Microsoft Dynamics 365 Quality Evaluation Agent supports customer service and contact center teams in doing exactly that. 

What is the Quality Evaluation Agent and how does it work?

The QEA is an AI-driven tool that automatically audits and scores closed cases (D365 Customer Service) and customer conversations (D365 Contact Center) against predefined quality standards. It ensures every interaction meets your organization’s benchmarks for excellence – without manual intervention. 

This reduces delays, improves operational efficiency, and gives agents more time to handle complex cases. You can choose full automation or keep the agent in the loop with approval-based automation.

Enabling the Agent

Core features of Quality Evaluation Agent

Automated quality audits 

  • Reviews completed cases and conversations automatically

  • Assigns a quality score from 0 to 100

  • Evaluates compliance with defined quality criteria

Customizable evaluation framework

Evaluation criteria
  • Define sections such as empathy, accuracy, compliance

  • Use weighted questions to reflect business priorities

Evaluation plans
  • Set evaluation frequency (daily, weekly)

  • Choose channels (cases or conversations)

  • Define triggers (case resolution, conversation closure)

Real-time insights for supervisors

  • Monitor active sessions

  • View quality scores and sentiment analysis in real time

  • Identify improvement areas early

How the Quality Evaluation Agent works

Step 1. Define quality standards

Create weighted criteria aligned with your service goals.

Setting up evaluation criteria

Step 2. Build evaluation plans

Select channels, frequency, and evaluation scope.
Creating the evaluation plan

Step 3. Activate the Agent

QEA runs in the background and evaluates interactions automatically.

Step 4. Review dashboards & insights

Supervisors access reports, scores, and improvement suggestions.

Business value, best practices and what to consider

Business benefits

  • Scalable quality management: consistent, unbiased evaluations across all interactions 
  • Data-driven coaching: AI-generated insights for targeted agent improvement
  • Compliance & risk mitigation: detect policy gaps early and reduce SLA risks 
  • Unified view: evaluate both cases and conversations under one framework

Implementation best practices

Start with clear quality objectives

  • Define what “quality” means
  • Focus on measurable outcomes, like compliance, empathy, and resolution accuracy

Design balanced evaluation criteria

  • Avoid overloading evaluation plans with too many questions
  • Instead, prioritize high-impact areas and assign appropriate weights 

Pilot before scaling

  • Begin with a small set of cases or conversations to validate scoring accuracy
  • Adjust criteria and weights based on initial insights

Monitor Copilot credit usage

  • QEA consumes Copilot credits
  • Track usage regularly and align with your licensing strategy to avoid unexpected costs 

Leverage insights for coaching

  • Use QEA’s detailed feedback to guide agent training
  • Highlight strengths and address weaknesses with actionable recommendations

Review and refine regularly

  • Customer expectations evolve
  • Update evaluation criteria and plans periodically to keep quality standards relevant

Important considerations

Copilot credits

Quality Evaluation Agent consumes credits plan your usage carefully. 

Privacy compliance

Designed for coaching, not employment decisions. Ensure transparency and legal compliance.

Availability and roadmap

  • Quality Evaluation Agent is now in Preview. Since October 2025 it is available for tests for cases and conversations
  • Global Availability will start January 2026 across all Dynamics 365 Customer Service and Contact Center deployments

Key takeaways

  • QEA automates quality evaluation at scale

  • Delivers unbiased scoring and actionable insights

  • Frees agents to focus on customers

  • Requires Copilot credit planning

Like the previous agents, this agent helps the company close existing gaps. While service representatives continue to focus on what matters most – helping customers – the company can add new layers of support and control.

Just as with case closing, follow-ups, or customer knowledge management, additional elements of customer service can be handled with significantly less human time required.

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