Ernst & Young (EY), a leading Big Four accounting firm, has unveiled a novel Ethereum-based solution named EY OpsChain Contract Manager (OCM), integrating zero-knowledge proofs to assist its private business clients in executing intricate contracts. This initiative, introduced in an announcement on April 17, is designed to streamline the execution of complex business agreements for private companies, ensuring timeliness, confidentiality, and cost-effectiveness.
The EY OpsChain Contract Manager (OCM) facilitates various contract types, including purchase agreements, standardized price lists, volume discounts, rebates, and execution prices. EY opted for Ethereum, a public blockchain, over private networks to prevent any single party from gaining an unfair advantage and to mitigate the risk of sensitive business information leakage.
Paul Brody, EY's global blockchain leader, emphasized the firm's commitment to enhancing the accuracy of contract terms while reducing cycle times and administrative costs significantly—by approximately 90% and 40%, respectively. This optimization was recognized through past client engagements, leading to the development of OCM and the incorporation of zero-knowledge privacy technology, enabling substantial benefits at a fraction of the upfront cost.
The official launch of the EY OpsChain Contract Manager (OCM) occurred during the annual EY Global Blockchain Summit on April 17. The move towards leveraging public blockchains by traditional financial institutions has been noted in recent months, with BlackRock's BUIDL project being a notable example, as highlighted by former Grayscale executive Celisa Morin.
EY's journey in integrating zero-knowledge proofs began in April 2019, initially piloting this technology to develop a blockchain-based audit, tax, and transaction monitoring platform. Ethereum has consistently been EY's preferred base chain for such initiatives. Additionally, EY's investment of $1.4 billion in artificial intelligence technology underscores its commitment to innovation, as evidenced by the development of the EY.ai platform, which facilitates enterprise adoption of artificial intelligence through its proprietary large-scale language model, EY AI EYQ.
