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March 21, 2024
For nearly a decade, KPMG Australia has used AI technologies to increase the efficiency, accuracy, and quality of a range of data discovery tasks. Seeing the potential of generative AI to further enhance its services, the firm tested offerings from multiple vendors before deciding to build a proof of concept of its ESG Comply AI platform using Microsoft Azure OpenAI Service, Azure AI Search, and Copilot for Microsoft 365.
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Judging from the news, it might seem that AI has just joined the mainstream in the last year or two. The truth is, AI has been evolving for more than a decade. As a top-tier global professional services firm, KPMG has been exploring and using AI for data analytics in its global audit, tax, and advisory services since 2016.
The KPMG organization consists of member firms operating in more than 143 countries, each a legally distinct and separate entity responsible for its own obligations and liabilities. All share a common purpose and set of values, and all rely on innovation and best-in-class technology to help their clients mitigate risks and realize opportunities. Those member firms also see responsible AI as a critical competitive advantage in building trust and creating increased value for stakeholders.
KPMG tested generative AI technologies from multiple vendors, including participating in an early access program for Copilot for Microsoft 365. Through that early stage of testing, the firm saw the potential that Copilot offers for enhancing employee productivity and delivering high-quality outcomes for employees and clients. Based on those results, KPMG decided to test Copilot, Azure OpenAI Service, and Azure AI Search as the basis for many of its generative AI applications.
Beyond the alliance, KPMG also saw a significant evolution of Microsoft generative AI capabilities in the last few years. And after working with the products, KPMG found that the transparency of the code in Copilot made it easier to build on and made the functionality more explainable to subject matter experts (SMEs).
