MicrosoftExpandedProductionEvidence: High75/100

KPMG Australia boosts productivity with generative AI agent for employees and clients

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.

Organization
KPMG Australia
Location
Australia
Published
June 2023

Reported outcomes

Quality: 50% to 91%

Quality & accuracy

Productivity: Up to 50% higher

Catalog median for quality & accuracy deployments: +40% across 55 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 50-91% increase

microsoft.comJun 5, 2023Customer storyInferred claimHigh evidence strength

Search quality increased from 50% to 91%.

Normalized claim

Quantified impact: 70%

microsoft.comJun 5, 2023Customer storyInferred claimHigh evidence strength

70% employee adoption rate with 120,000+ queries processed in the first phase.

Normalized claim

Productivity: 50% increase

microsoft.comJun 5, 2023Customer storyInferred claimHigh evidence strength

Productivity increased by up to 50% in key workflows.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
KPMG Australia
Provider
Microsoft
Maturity
Production
Linked source
microsoft.com

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

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Enterprise Search Assistant using Generative AI
  • 2Automated Document Summarization and Insight Generation
  • 3Employee Productivity Agent leveraging vector search
  • Developed and launched KymChat, a generative AI agent, using Azure OpenAI (GPT-3.5 and GPT-4).
  • Integrated Azure Cosmos DB for MongoDB vCore with vector search for semantic understanding and rapid retrieval of unstructured data.
  • Deployed backend code via Azure Container Registry and Azure App Service for scalable, containerized delivery.
  • Incorporated prompt engineering training and user onboarding for employees.
  • Close collaboration with Microsoft engineering to optimize architecture and solution reliability.
  • Search quality increased from 50% to 91%.
  • Average response times reduced to under one second across use cases.
  • Productivity increased by up to 50% in key workflows.
  • Expanded to client offerings and global KPMG firms, demonstrating high scalability.
Architecture

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.

Sources & evidence3
Evidence: High75/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
  • Multiple corroborating sources available
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2024.

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Type: Customer StoryPublished: Jun 5, 2023Publisher: microsoft.comEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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