Case Study

How EY is unlocking the next iteration of GenAI advancement with EYQ

The global EY organization (EY) is transforming the future of work and augmenting potential with an enterprise generative AI (GenAI) solution.

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The better the question

How can agentic AI unlock new dimensions of collaborative intelligence?

EY teams aimed to help empower EY people with GenAI capabilities in a private, secure environment while prioritizing data and brand safety.

In recent years, the landscape of artificial intelligence (AI) has undergone a rapid transformation, driven by advancements in GenAI and Large Language Models (LLMs). These technologies offer unprecedented opportunities to revolutionize industries, help enhance productivity and drive innovation. However, with these opportunities come significant challenges and questions about how to harness this potential effectively and responsibly.

Several critical considerations were recognized when bringing GenAI to EY:

  1. GenAI governance and decision-making: Implementing robust governance frameworks during the nascent stages of GenAI implementation was essential. EY teams aimed to foster responsible and ethical AI use, data privacy and compliance with regulatory requirements.
  2. Securing executive alignment and sponsorship: Securing executive alignment and sponsorship was crucial to stimulate momentum for GenAI adoption. The wider the knowledge gap associated with a new technology, the faster initiatives could face opposition and termination.
  3. Conflicting budget priorities: With various business units having diverse agendas, reallocating funding sources to build an internal AI solution required aligning competing priorities to strategic objectives.
  4. Efficient development process and environment: Facilitating an efficient development process and environment was vital to prevent GenAI initiatives from stagnating or being abandoned. Overcoming organizational resistance to change was necessary to gain momentum and advocacy.
  5. Addressing security concerns: Many available conversational AI tools in the market at the time constituted critical security risks. EY teams needed to meet rigorous InfoSec, Risk Management, Data Privacy and Regulatory requirements to maintain data and brand safety.
  6. Integrating EY data and knowledge: Traditional LLMs lacked the EY perspective and data required for specific use cases. EY teams aimed to develop solutions that integrated proprietary data to provide contextual intelligence and relevant outcomes. To address these challenges, EY teams decided to build a custom solution rather than buy off-the-shelf tools.

"Strategic foresight and responsiveness are crucial in leveraging emerging technologies like GenAI to drive organizational transformation,” says Mary Elizabeth Porray, EY Global Client Technology Vice Chair. “Understanding and addressing the unique challenges of GenAI allows us to harness its potential responsibly and effectively."

Building a custom solution allowed for phased development in quick succession, help ensuring rapid iterations and continuous improvements. This strategic decision led to the development of EY.ai EYQ (EYQ), a transformative GenAI ecosystem designed to help empower EY people with advanced AI capabilities in a private, secure environment.

Smiling businesswoman working on computer in high tech office
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The better the answer

Providing AI capabilities to 300k EY people with a distinct offering

EY teams expanded GenAI's potential by infusing it with EY's specialized knowledge and data, achieving deeper and more relevant contextual insights.

To address the challenges identified, EY teams took a strategic and phased approach to developing its GenAI solution. Alignment started at the top, with general executive sponsorship setting the tone for the entire organization, fostering a culture of innovation and responsible AI use. Working closely with risk management at each stage of product development addressed that all security, compliance and ethical considerations were met.

 

Establishing a remarkable pace of innovation, the EYQ team stood up a proof of concept (POC) in approximately four weeks. The POC was successfully launched to 300,000 EY people, providing them with a secure, private environment to experience the capabilities of GenAI. This initial deployment of EYQ focused on providing a seamless ChatGPT-like experience, crucial to demonstrating the potential of GenAI in EY.

 

To address the need to codify EY knowledge and data into EYQ, EY teams focused on developing specialized conversational agents within EYQ that are tailored to specific internal domains or functions. These domain-specific agents provided immediate responses to prompts in specialized areas, helping EY people execute tasks quickly and efficiently. This phase contributed to EYQ being not only broad in its application but also deep in its contextual relevance. This marked the beginning of the evolution from a POC to a broad GenAI ecosystem.

 

For example, EYQ offers a conversational agent that supports EY people with all queries related to the Human Resources (HR) domain. A US EY employee, for instance, can leverage the agent to inquire about a 401(k)-pension plan and instantly receive an accurate, contextual answer, eliminating the time-intensive task of seeking out an appropriate HR professional.

 

Similarly, EY teams realized that there was an opportunity in applying GenAI to improve the client engagement, opportunity management and service delivery experience for EY practitioners. Today, EY practitioners can leverage a conversational agent within EYQ to understand the different deal and delivery phases of an engagement, to better address client challenges and circumvent the inefficiencies and redundancies of navigating through 70 different applications and information sources.

 

To further improve the user experience, EY teams developed a robust orchestration framework for EYQ. This framework intelligently manages the integration and interaction of related domain-specific agents based on user-provided context. It automatically determines which agent or combination of agents, will produce the most contextually relevant and accurate outcomes. This capability to interact with multiple agents at once, in a single conversation, is unique and largely streamlines the task completion for EY people.

 

In addition to conversational agents, EY teams integrated other capabilities such as prompt management. Unlike traditional prompt libraries, EYQ helps users leverage AI to generate better prompts and share across the firm through a centralized library. This approach facilitated the continuous improvement and tailoring of the prompts to the specific needs of EY people.

 

Taking EYQ further with team collaboration

EYQ not only improves individual experiences but takes it one step further to elevate team collaboration through the introduction of shared workspaces. These workspaces help enable team members to work together in a conversation with EYQ, rather than individually. This establishes EYQ as an integral team collaborator, reshaping conventional work practices, a unique ability for multi-user dialogue that distinguishes EYQ from other similar top-tier solutions available in the market today.

 

EYQ also supports technologists who want to develop both experimental and innovative GenAI tools to grow EYQ's ecosystem. Development environments allow users to innovate, experiment and help deliver GenAI technology solutions, products and skills. These environments support both code-first and low-code development, catering to a wide range of technical experience. For example, users can create a Copilot solution within Microsoft Copilot Studio and publish it to EYQ, introducing new personal productivity capabilities that can be shared more broadly within service lines or even globally across the firm.

 

The development of EYQ was underpinned by the firm’s Responsible AI principles. The global EY organization’s commitment to developing and using AI ethically and responsibly determined that EYQ adhered to the highest standards of fairness, transparency and accountability. This commitment reinforced confidence in the technology and made sure that the benefits of AI were realized without compromising ethical standards.

System developers analyzing code on wall screen tv looking for errors while team of coders collaborate on artificial intelligence project. Programmers working together at machine learning software.
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The better the world works

Unlocking a new way of working through EYQ

EY teams are empowering EY people with advanced GenAI capabilities, accelerating growth, knowledge-sharing and innovation across the organization.

For the last several years, EY teams recognized the need to transform into an AI-centric organization to stay ahead in the rapidly evolving technological landscape. With ambitious goals to redefine internal work, functions and technology for optimal operations in the AI era, EYQ plays a pivotal role in this transformation.

To achieve each milestone at speed and scale, EYQ is powered by EY Fabric, a global foundational technology platform. This platform's reusable components across cloud, data, intelligence, development and experience enabled rapid and scalable development.

The global EY organization collaborated assertively out of the gate with Microsoft for EYQ development. "This partnership facilitated mutual growth and exploration of AI’s potential impacts, powering constant evolution and positioning EY ahead in the AI industry," says John de Havilland, Senior Director, Microsoft Azure Customer Success. Built on Microsoft Azure and its OpenAI service, EYQ is one of the largest private, secure GenAI enterprise ecosystems globally.

This strategy's effectiveness is underscored by the impressive user adoption rate of EY.ai EYQ, which has surpassed 81% across the EY organization, with more than 116 million prompts processed to date, demonstrating its significant impact and widespread acceptance.

have been processed by EYQ.
is the EYQ adoption rate.

“EYQ is the anchor tenant of a broader push into the transformation of EY becoming an AI-first organization,” says Pablo Cebro, EY Global Technology Platforms Leader, Client Technology. “An important part of the success of the solution is that we’ve activated and enabled the entire organization to lean in and understand more about the technology that’s going to infuse their lives.”

Looking ahead, EY teams are already piloting autonomous agents and a Tax domain LLM, with plans to introduce additional domain-specific LLMs in the future. EY teams will continue to integrate GenAI across its various technology platforms and products that support and help enable EY services and solutions. This ongoing innovation supports EYQ in maintaining its position at the forefront of AI advancements, continually improving its capabilities and impact.

By integrating AI into the core of its operations, the EY organization is not only improving individual and team productivity but also setting a new standard for how organizations can leverage AI to transform their business processes. This strategy has also seamlessly woven AI into the organization’s DNA, driving improved efficiency, productivity and innovation. EYQ exemplifies how strategic foresight, robust partnerships and a commitment to ethical AI can drive significant organizational change and position a company at the forefront of technological innovation, shaping the future with confidence.

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