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Professional Services & Audit

AI for audit firms.

Audit runs on heavy document work, yet the best practitioner's judgment stays in their head. Put agents and RPA on the workflow and capture that judgment once in a shared knowledge layer, so rigour scales across thousands of accountants instead of leaving with each person.

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Deployed in Production at.

The China firm of an international accounting network

The China firm of an international accounting network, with thousands of certified public accountants, built a standardized intelligent audit operations platform on Dify Enterprise.

The platform pairs AI agents with RPA to automate audit workflows including walkthrough testing and internal-control review. It runs in private deployment to meet compliance requirements, and provides a unified knowledge layer that makes professional practice reusable across engagements.

The firm reports significant efficiency gains: audit efficiency up 40%+, risk-alert timeliness up 60%+, and query efficiency up 70%+.

Read the full storyHow an International Accounting Firm Built Audit Automation on Dify Enterprise
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  • +40%

    Audit efficiency gain reported

  • +60%

    Improvement in risk-alert timeliness

  • +70%

    Query efficiency gain

  • 1,000+

    CPAs on one intelligent audit platform

Source: Dify Enterprise deployment at the China firm of an international accounting network

Why
this industry, why now.

The constraints

Audit and professional services firms operate on high-volume document analysis, and the quality of that work depends on accumulated professional judgment — knowledge of standards, prior cases and regulatory expectations that lives in experienced practitioners rather than documented systems.

Firms also operate under strict data security requirements, with client data that cannot leave the firm's controlled environment.

And the pressure to do more with the same headcount, while maintaining the quality standards that professional standards bodies require, is not going away.

The role of AI

For this industry, the shift is not another chatbot. It gives the whole audit loop a place to run — from walkthrough testing and internal control review through to risk monitoring — while making the professional knowledge that currently sits with individuals accessible and reusable across the firm.

Patterns we see.

AI agents plus RPA on the audit loop
Walkthrough testing, internal control review and similar audit work need an end-to-end workflow rather than a question-and-answer interface. Dify agents handle the structured steps — retrieving documents, running checks, flagging issues — while RPA handles the system interactions that require it. The result is a complete workflow rather than a collection of point tools.
Private deployment, real-time risk monitoring
Enterprise-grade private deployment keeps client data inside the firm's own environment, which is what audit regulatory standards require. Real-time risk monitoring workflows run against internal data continuously rather than on a periodic batch schedule, surfacing issues earlier in the engagement.
A shared knowledge layer for reuse
A central knowledge layer makes professional practice searchable and reusable. Working papers, prior engagement notes, standards references and internal guidance all feed into a single retrieval-ready corpus. Teams on new engagements benefit from prior work without having to know who did it or where the files are stored.

Discuss Professional Services & Audit workflows with Dify.

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