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AI for audit firms

We help auditors and tax advisers use AI in audits and financial statements so that audits become more efficient and stay compliant with professional rules.

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Firms that want to serve a growing audit market with fewer professionals must embed AI deliberately in audits and quality management.

In numbers

41 %

of audit firms’ digitalisation budgets go directly into AI

52 %

of German public auditors are 55 or older

59 %

of firms say clients expect digital applications as standard

Sources: Lünendonk, audit and tax advisory 2026 (in German). WPK, membership statistics, as at 1 Jul 2026 (in German).

What audit firms are dealing with today

Five bottlenecks and where AI comes in.

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A lot of reading before the audit

AI summarises the client’s minutes, contracts and documents and flags possible risks.

Receipts and journals

AI matches invoice, delivery note and payment and flags anomalies in the journal.

Tight deadlines at year end

AI checks the notes against the prior year and the audited figures and drafts sections of the report.

Knowledge in a few heads

When experienced professionals retire, their knowledge stays in the firm. Audit manual, standards and guidelines become searchable, with the source.

Obligations under the WPO and the EU AI Act

We create the AI policy and AI inventory for your quality management system and check every tool against § 50a WPO.

Your challenge is not on the list?

In a free 30-minute AI conversation we clarify whether and how AI can help.

For complex questions with a significant impact on the result, AI serves as a plausibility check. The judgement is the auditor’s.

What we do

From priorities to operations, relentlessly focused on impact.

AI Strategy & Consulting

We show where AI pays off in your audits. Together with you, we set the rules.

AI Design & Development

Assistants and AI agents that match receipts and analyse documents. The judgement stays with the auditor.

AI Support & Evolution

We run your applications, measure their impact and train audit teams.

Open Model Stack

Technology-agnostic: The right model for each task, without being tied to one provider.

Value Map

Every task rated by value, effort and risk. The result is a clear order of priorities.

Build & Run

One team from strategy to operation. We also run our own software.

Human Gate

Anything that goes out or prepares decisions is checked by a person.

What professional rules require

§ 43 WPO

Conscientious and independent

Understand how a tool works before using it. The auditor remains responsible for the result.

§ 50a WPO

Service providers

Client data only goes into tools whose provider is bound to confidentiality and does not train on the data.

§ 51b WPO

Documentation

For significant results, the tool, version, inputs, outputs and assessment belong in the working papers.

Under the EU AI Act, AI in audits is usually not high-risk. Article 4 on AI literacy applies to every firm that uses AI.

AI policy template

Insight

Created with AI: Two auditors working at desks by the window of a bright office, a colleague points at a document, seen from above

Guide

AI policy for companies: sample and template

What belongs in an AI policy, who adopts it and how you keep it up to date. With a template as a Word file.

All guides

More industries

Frequently asked questions

Where do we start?

With the potential analysis of one audit process. After one day you know where AI pays off and where to start.

May we enter client data into AI tools?

Only into protected systems: The provider is bound to confidentiality under § 50a WPO and demonstrably does not train on your data. Otherwise only anonymised or pseudonymised.

Can an AI result serve as audit evidence?

For simple matters and suitable applications it can be sufficient. For complex questions it usually only serves as a plausibility check. Responsibility stays with the auditor.

What do we have to document?

Who used which tool for which audit procedure with which result. For significant results also the version, inputs, outputs and your assessment. Reproducibility is not required.

Do we need our own AI policy?

Yes. The WPK expects a deliberate decision by the firm’s management and rules in the quality management system: Responsibilities, approved tools, training. We create it with you.

What does the potential analysis cost?

Prices are not shown on the website. On request we give you an indication, and the proposal then states a fixed price.

Where does AI pay off most in your practice?