Sentiment AI in Microsoft Dynamics 365: Using customer sentiment strategically
Blog

Sentiment AI in Microsoft Dynamics 365: Using customer sentiment strategically

5 min read May 13, 2026

Customers today expect more than fast responses. They want to feel understood.

A support call, a chat message, or a social media comment always carries emotion as well.

This is exactly where Sentiment AI comes in. Using artificial intelligence, the technology analyzes how people feel in conversations and written communication and makes emotional signals visible. Combined with Microsoft Dynamics 365 Customer Engagement, it becomes a powerful tool for empathetic and data driven customer communication.
Companies gain insight not only into what customers say, but also into how they mean it.

What is Sentiment AI and how does it work?

Sentiment AI, also known as sentiment analysis, uses Natural Language Processing (NLP) to analyze texts and conversations semantically. The system automatically detects whether statements are positive, neutral, or negative. Modern AI models also consider context, tone, and linguistic nuances.

For example:

“Great, another unanswered request from customer service.”

Although the word “great” is usually positive, the AI recognizes the negative sentiment behind the statement.

Today, modern CRM systems such as Microsoft Dynamics 365 support service, sales, and marketing processes directly in daily operations with Sentiment AI. Teams can respond faster, more precisely, and more empathetically to customer needs.

Key Facts

What Sentiment AI makes possible

What Sentiment AI makes possible:

  • Early identification of dissatisfaction and escalation potential
  • Faster and more empathetic responses in customer service
  • Better understanding of customer needs in sales
  • Automated analysis of large volumes of customer feedback
  • Data driven decisions through real time insights


More than data: Why customer sentiment creates a competitive advantage

Sentiment AI adds an emotional layer to traditional CRM data. This gives companies a deeper understanding of their customers and enables more targeted actions.

Improving customer service proactively

If Dynamics 365 detects negative sentiment during a chat or email conversation, the system can automatically trigger escalation alerts or provide suitable response suggestions through Microsoft Copilot.

As a result, service teams can react faster and in a more solution oriented way, often before a situation escalates.

Assessing sales opportunities more accurately

Sentiment AI also delivers valuable insights in sales. The technology identifies uncertainty, enthusiasm, or skepticism in customer communication.

Sales teams can guide conversations more effectively and pay closer attention to emotional signals, an important advantage in complex decision making processes.

Using customer feedback strategically

Companies receive large volumes of feedback every day across different channels. Sentiment analysis makes it possible to evaluate this information automatically and cluster it based on sentiment.

This creates transparency around actual customer satisfaction and reveals concrete opportunities for improvement.

Microsoft Dynamics 365 and Sentiment AI: A powerful combination

Microsoft already integrates sentiment analysis deeply into Dynamics 365 Customer Service and Customer Insights.

Key capabilities include:

  • Omnichannel sentiment tracking to visualize sentiment trends in real time
  • Copilot integration with AI driven recommendations and automated response suggestions
  • Power BI dashboards for analyzing customer sentiment by period, topic, or target group
  • Automated escalation mechanisms for critical conversations

This creates a CRM system that does more than manage data. It helps teams better understand customer interactions and actively supports them in their daily work.

Real world example from the energy industry: Detecting escalation risks early

A typical service case in the energy sector involves billing and price developments, especially during periods of strongly fluctuating energy prices.

A customer contacts the service center of an energy provider because their electricity bill is significantly higher than expected. Frustration is already noticeable at the beginning of the conversation:

“I simply do not understand why my bill increases every year. I am already thinking about switching providers.”

While the service representative handles the request, Sentiment AI in Microsoft Dynamics 365 Customer Service analyzes the conversation in real time. The system detects negative sentiment and rising emotional intensity.

As a result, the following actions are triggered automatically:

  • An escalation warning appears
  • The team lead is informed
  • AI driven solution suggestions are displayed, such as suitable tariff options or possible credits

The employee responds empathetically, explains the price development transparently, and offers a tariff review. As the conversation continues, the customer’s sentiment changes from negative to neutral and eventually to positive.

In the follow up analysis, the company identifies several important insights:

  • Customer sentiment improved significantly within just a few minutes
  • The customer decided not to switch providers
  • The system uses these insights to identify similar conversation patterns even more precisely in the future

The result: The energy provider improves service quality and customer loyalty while simultaneously reducing the number of critical escalations.

This demonstrates that emotional intelligence can be measured and translated into real business value.

Conclusion: More empathetic CRM with AI

Sentiment AI adds a new dimension to customer relationship management. Companies that understand customer sentiment and respond to it proactively create better customer experiences and strengthen long term relationships.

Microsoft Dynamics 365 and Azure AI provide powerful tools for this purpose, from real time analysis to strategic evaluation.

Every customer interaction becomes an opportunity to build trust and strengthen customer satisfaction sustainably.

Looking to use Sentiment AI in Dynamics 365?

Our CRM experts at BE-terna support you in integrating AI capabilities into your customer processes in a practical, understandable, and value driven way.


Would you like to use Sentiment AI in Dynamics 365?

Our CRM experts will help you integrate AI capabilities into your customer processes in a meaningful way—practical, easy to understand, and focused on delivering real value.

Contact us and discover how Sentiment AI can take your customer engagement to the next level.

Contact us

Like what you read?

Subscribe to our Newsletter and get relevant updates …

About the Author

Clemens Walz

Solution Lead CE, BE-terna

Clemens Walz brings more than 15 years of expertise in customer engagement and the energy industry together with a strong passion for digital innovation and a high standard of professionalism. His focus is on helping companies make customer processes smarter, more efficient, and future ready through modern customer engagement platforms, AI, and practical digitalization.

He believes successful transformation happens where technological innovation meets human understanding, professionalism, and real customer value. Especially in the energy industry, current developments around AI and customer engagement create enormous opportunities for companies that are willing to rethink established approaches and actively drive innovation forward.

Back to top