What challenges did EY face before AI implementation?

Managing financial complexity, regulatory compliance, talent shortages, and geopolitical risks with traditional methods. Need for secure, private AI solutions integrated with existing enterprise systems. Driving digital transformation in finance and consulting through generative AI.

What was the impact of the AI solution?

81% user adoption of EYQ across EY's global workforce. Processed over 116 million AI prompts, improving productivity and decision-making. Enhanced team collaboration and AI-driven workflow automation. Positioned EY as a leader in AI-driven digital transformation in finance.

Source

MicrosoftProductionEvidence: Medium50/100

EY Unlocks Next-Generation AI for Finance with Microsoft Azure and Generative AI

Use case typeProductivity platformUpdated Jun 13, 2026

EY (Ernst & Young), a global professional services firm, developed EY.ai EYQ, an enterprise-grade generative AI ecosystem powered by Microsoft Azure and Azure OpenAI Service. The platform provides secure, private conversational agents tailored to internal domains like HR and client engagement, which enhance productivity and streamline workflows. It features multi-agent orchestration, prompt management for continual improvement, and shared workspaces to foster collaboration. EY has achieved widespread adoption within the firm (81% adoption), processing over 116 million prompts and significantly improving operational efficiency and organizational AI maturity.

Organization: EY
Industry: Professional Services
Location: United States
Published: October 2025

Reported outcomes

81%

quantified impactAdoption & scale

Strategic outcomes

New product / capabilityBuilt a private enterprise AI platformNew product / capabilityCreated domain-specific conversational agentsInnovation & cultureEnabled collaborative AI workspacesCompetitive differentiationPositioned as AI transformation leader

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

Normalized claim

Quantified impact: 81%

EYOct 23, 2025UnknownInferred claimMedium evidence strength

81% user adoption of EYQ across EY's global workforce.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: EY
Provider: Microsoft
Maturity: Production
Linked source: EY

EY has achieved widespread adoption within the firm (81% adoption), processing over 116 million prompts and significantly improving operational efficiency and organizational AI maturity

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Generative AI
2Conversational Agents
3Multi-Agent Systems

Managing financial complexity, regulatory compliance, talent shortages, and geopolitical risks with traditional methods.
Need for secure, private AI solutions integrated with existing enterprise systems.
Driving digital transformation in finance and consulting through generative AI.

Developed a private, enterprise-grade generative AI platform using Microsoft Azure and Azure OpenAI Service.
Created domain-specific conversational agents for HR, client engagement, and compliance.
Implemented multi-agent orchestration and prompt management for enhanced context and continuous learning.
Enabled shared workspaces for collaborative AI use and innovation.

Technologies

Microsoft Azure Azure OpenAI Copilot Studio

81% user adoption of EYQ across EY's global workforce.
Processed over 116 million AI prompts, improving productivity and decision-making.
Enhanced team collaboration and AI-driven workflow automation.
Positioned EY as a leader in AI-driven digital transformation in finance.

Architecture

EY.ai EYQ platform architecture includes multi-agent orchestration, prompt management system, domain-specific agents integrated with secure private cloud infrastructure based on Microsoft Azure and Azure OpenAI Service.

Sources & evidence1

Evidence: Medium50/100Evidence strength