CASE STUDY
Transforming Certification Support with AI-Powered Knowledge Discovery
Overview
Contoso, a global leader in certification, faced the challenge of information overload. Contact center agents struggled to extract precise information from massive volumes of unstructured documents, leading to inconsistent support and delays in global certification operations. The solution: an Intelligent Knowledge Synthesis Engine that automates extraction and structuring of content from diverse formats, providing agents with contextually aware intelligence.
The Challenge
Contact center agents were overwhelmed by the sheer volume of unstructured data—Word, PDF, and text files—containing critical certification information. Key issues included:
- Information Overload: Massive volumes of unstructured documents made it difficult to find precise answers.
- Inconsistent Support: Agents provided varying levels of service due to fragmented knowledge access.
- Delayed Responses: Manual search and extraction processes slowed down global certification operations.
- Lack of Context: Existing tools could not understand complex queries or synthesize context-aware responses.
Contoso needed a solution that could index, structure, and synthesize content from multiple repositories to enable fast, accurate, and consistent agent responses.
The Solution: Intelligent Knowledge Synthesis Engine
Contoso deployed a knowledge discovery copilot agent built on Microsoft Copilot Studio, integrated with Claude Sonnet 4.5, SharePoint Files, and SharePoint Lists. The solution provides:
- Unstructured Data Access: Effortlessly indexes and structures content from Word, PDF, and text files to enable high-speed retrieval.
- Natural Language Synthesis: Understands complex queries to deliver summarized, accurate context-aware responses through intuitive interaction.
- Seamless Repository Integration: Securely queries backend document repositories through custom API integrations.
The agent acts as a knowledge synthesis engine, empowering contact center agents to quickly find and synthesize information from vast unstructured data sources.
Results and Analytics
The implementation of the Knowledge Discovery Copilot Agent delivered significant improvements in support quality and operational efficiency:
- Faster Information Retrieval: Eliminated manual search time, allowing users to access critical insights from vast databases instantly.
- Improved Response Accuracy: Context-aware responses ensure consistent and high-quality customer interactions.
- Enhanced Productivity: Minimized manual effort, liberating agents to focus on higher-value tasks.
- Data-Driven Decision-Making: Teams are now empowered with timely, accurate insights for faster and more informed customer responses.
- Centralized Knowledge Access: A unified view of enterprise knowledge eliminates information silos.
By replacing manual search processes with AI-powered knowledge synthesis, Contoso transformed its contact center operations, ensuring consistent, high-quality support across global teams.