What challenges did EisnerAmper face before AI implementation?

Auditors spend hours pulling and sorting information across systems. Auditors must continuously account for regulatory and accounting changes, which slows risk assessment and limits time for judgment-driven work.

What was the impact of the AI solution?

The agent is positioned to streamline audit research and accelerate risk assessment. It frees auditors for higher-value judgment work and is intended to improve the efficiency and quality of engagements across about 18,000 audits. It also supports faster ramp-up and coaching for auditors at different experience levels.

Source

MicrosoftEvidence: Low40/100

EisnerAmper builds the EisnerAI Audit Design Agent with Azure AI Foundry

Use case typeWorkflow automationUpdated Jun 19, 2026

EisnerAmper, one of the largest accounting and business advisory firms in the U. S., built the EisnerAI Audit Design Agent with Azure AI Foundry to modernize assurance. The agent aggregates information across systems, synthesizes it, and surfaces key patterns so auditors can accelerate research, sharpen questions, and focus more time on judgment-driven work. The implementation uses a centralized data lake, sensitive data classification and tagging, Azure Data Factory pipelines, and Azure Active Directory security groups to support governed access.

Organization: EisnerAmper
Industry: Professional Services
Location: United States
Published: June 2026

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

Customer: EisnerAmper
Provider: Microsoft
Maturity: Unknown
Linked source: Microsoft Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

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1Workflow automation

EisnerAmper partnered with Microsoft and built the EisnerAI Audit Design Agent using Azure AI Foundry.
The team created a centralized data lake for ingestion, applied sensitive data classification and tagging, and used Azure Active Directory security groups so only the right people access the right data.
Azure AI Foundry and Azure Data Factory were used to create the pipelines and components needed for the agent to process and deliver insights.

Technologies

Microsoft Foundry Azure Data Factory Azure Active Directory Microsoft 365

The agent is positioned to streamline audit research and accelerate risk assessment.
It frees auditors for higher-value judgment work and is intended to improve the efficiency and quality of engagements across about 18,000 audits.
It also supports faster ramp-up and coaching for auditors at different experience levels.

Architecture

EisnerAmper built the EisnerAI Audit Design Agent on Azure AI Foundry with Azure Data Factory pipelines, a centralized data lake, sensitive-data classification and tagging, and Azure Active Directory security groups for governed access. The solution is embedded in the Microsoft 365 ecosystem.

Sources & evidence1

Evidence: Low40/100Evidence strength