Normalized claim
Quantified impact: 50-91% increase
Search quality increased from 50% to 91%.
KPMG Australia developed and deployed KymChat, a generative AI chat agent, to help its 10,000 employees access, summarize, and generate insights from both internal and external unstructured data sources. Leveraging Azure OpenAI (GPT-3.5, GPT-4), Azure Cosmos DB for MongoDB vCore (with vector search), Azure App Service, and Azure Container Registry, KymChat was rapidly scaled across the business. The deployment resulted in a substantial leap in search quality (from 50% to 91%) and reduced average response times to under a second. About 70% of employees adopted the tool, which has processed over 120,000 queries. KymChat is now being expanded for client offerings and to other KPMG member firms worldwide. The solution also includes user onboarding, prompt engineering training, and hackathons to encourage new use cases. The project was enabled by close collaboration with Microsoft engineering teams and involved significant integration between cloud, containerization, and advanced AI search capabilities. KymChat was designed for robust data security and privacy, ensuring sensitive information stays within the firm. The impact has included up to 50% productivity improvement in areas such as document drafting, communication, sales proposal development, and research, creating more time for client interaction and fostering a culture of continuous learning.
Reported outcomes
Quality: 50% to 91%
Quality & accuracy
Catalog median for quality & accuracy deployments: +40% across 55 reported metrics. Compare benchmarks →
Normalized claim
Quantified impact: 50-91% increase
Search quality increased from 50% to 91%.
Normalized claim
Quantified impact: 70%
70% employee adoption rate with 120,000+ queries processed in the first phase.
Normalized claim
Productivity: 50% increase
Productivity increased by up to 50% in key workflows.
KPMG Australia developed and deployed KymChat, a generative AI chat agent, to help its 10,000 employees access, summarize, and generate insights from both internal and external unstructured data sources
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KymChat uses Azure OpenAI (GPT-3.5, GPT-4) to process and generate responses based on enterprise data. Azure Cosmos DB for MongoDB vCore provides vector search capabilities for fast and context-aware retrieval of unstructured data, integrated with GPT-4 via Azure OpenAI Service. Backend code for data preparation and prompt handling is containerized with Azure Container Registry, and the chat agent is hosted and auto-scaled using Azure App Service. The architecture allows secure internal use, rapid scaling, and addition of new use cases and data sources.
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