Customer : Advanced Sentiment Analysis Agent

INDUSTRY

Civic & Social Organization

Solution

Sentiment Analysis

REGION

EMEA

CASE STUDY

Advanced Sentiment Analysis

CASE STUDY

Transforming Tenant Feedback with AI-Powered Sentiment Analysis

Overview

Contoso faced a high volume of repetitive manual processes, staff often sent responses to the wrong recipients, and they struggled to gain efficient insights from tenant satisfaction surveys. Having experienced mixed results when trying to build AI agents in-house, they recognized a critical need to cleanse and standardize data before moving toward full-scale AI implementation. The solution: a Sentiment Analysis Agent that surfaces recurring themes to automate customer feedback review and attitude insight generation using Microsoft Copilot Studio.

The Challenge

Contoso faced a high volume of repetitive manual processes, staff often sent responses to the wrong recipients, and they struggled to gain efficient insights from tenant satisfaction surveys. Having experienced mixed results when trying to build AI agents in-house, they recognized a critical need to cleanse and standardize data before moving toward full-scale AI implementation. Key issues included:

  • Repetitive Manual Processes: Staff spent excessive time manually reviewing and categorizing tenant feedback, reducing efficiency.
  • Incorrect Recipient Responses: Lack of automated routing led to responses being sent to the wrong recipients, causing delays and confusion.
  • Inefficient Survey Analysis: Tenant satisfaction surveys were difficult to analyze at scale, limiting visibility into recurring concerns.
  • Mixed In-House AI Results: Previous attempts to build AI agents in-house produced inconsistent results, highlighting the need for data standardization.

Contoso needed a solution that could automate feedback analysis, standardize data, and provide actionable sentiment insights to improve tenant engagement and service responsiveness.

The Solution: Sentiment Analysis Agent

Contoso deployed a Sentiment Analysis Agent built on Microsoft Copilot Studio and integrated with SharePoint, Azure Storage and Networking, and GPT-5. The solution provides:

  • Real-Time Monitoring: Analyzes tenant reviews and support interactions to quantify sentiment and identify trends instantly.
  • AI-Driven Insights: Customer concerns, trends, and improvement opportunities are quickly identified.
  • Centralized Feedback View: Consolidates insights from multiple communication channels into a single platform to improve triage.
  • Secure and Compliant: Deep integration with the Microsoft 365 ecosystem ensures accessibility, security, and compliance.
  • Improved Responsiveness: Tenant engagement, service response, and response consistency is enhanced.

The sentiment analysis agent transforms tenant feedback management by automating sentiment detection, providing real-time insights, and enabling proactive service improvements.

Results and Analytics

Contoso enhanced customer experience management through AI-driven sentiment analysis and automated feedback intelligence:

  • Faster Issue Identification: Automated sentiment analysis accelerates detection of recurring customer concerns and dissatisfaction trends.
  • Improved Tenant Responsiveness: Real-time emotional insights alerts enable support teams to respond proactively and effectively.
  • Enhanced Operational Efficiency: Reduced manual analysis allows teams to focus on service improvement initiatives.
  • Data-Driven Service Improvements: Centralized sentiment insights improve decision-making, tenant engagement, and long-term customer satisfaction across housing support operations.

The implementation establishes a scalable AI-powered sentiment intelligence framework for proactive tenant engagement and service optimization. Once Contoso's data is standardized in Microsoft Fabric, they can integrate with Power Automate to trigger automated workflows and expand agents to other departments like HR and Finance.