Revolutionize your financial audits with the power of AI
Auditors from leading companies across the globe trust dnl with their AI-Powered Audits
Clarity at the speed of AI
Financial auditing operates in an increasingly complex landscape where traditional manual processes create fundamental bottlenecks. Audit firms worldwide face mounting pressure to deliver comprehensive analysis across intricate financial statements and consolidated accounts.
- Time-intensive document analysis across complex financial statements
- Manual checklist completion requiring detailed review of every item
- Labor-intensive reference documentation and justification processes
- Repetitive seasonal audit procedures with limited automation
- Version control challenges when clients modify financial notes
AI-powered auditing
Our ai/numbers and ai/checklist transform your auditing process so that you preserve human expertise while dramatically enhancing efficiency and analytical depth - across both individual and consolidated financial statements.
- Automated financial statement processing with balance sheet item selection
- AI-powered answer identification and suggestion generation
- Customizable checklist support for diverse audit requirements
- Automated question-answering with up to 100% AI suggestion coverage
- Seamless integration with existing audit workflows
- Intuitive document-to-checklist comparison interface
- Direct reference linking from documents to audit responses
- Complete auditor oversight with AI suggestion acceptance workflow
- Automatic change detection between document versions
- Visual difference highlighting and affected question identification
- Streamlined re-audit processes for modified client documents
- Season-to-season AI improvement through usage patterns
- Historical audit data integration for enhanced suggestions
- Institutional knowledge building across audit engagements





Trusted by leading audit professionals worldwide
Our customers consistently see faster, more accurate audits with more reliable insights when using our AI solutions.
“Forvis Mazars has been a development partner of dnl from the very beginning and was an early adopter of AI in the audit of reporting obligations. Since then, the tool and the performance of the AI models have continued to improve remarkably year after year. This year, we have significantly expanded our cooperation for the long term.”
Timo HusemannPartner, Auditor, Tax consultantGermany “We've been using ai/checklist for a year now, and it's being continuously expanded and noticeably developed from quarter to quarter. The AI solution helps us to organize our documentation efficiently and is intuitive and easy to understand.”
Bastian WenkAuditor, tax consultant, CVA, Managing director, partner
Evolve to the future of auditing
Efficiency evolution
Transforms audit timelines by AI automation with up to 80% of checklist questions while maintaining comprehensive coverage.
Cost performance
Significant resource optimization through automated workflows and reduced manual processing time
Scalable intelligence
AI-products that learn over time improving audit efficiency season-over-season, creating compounding value for audit firms.
Integration ease
Our flexible offering accommodates diverse audit firm methodologies and checklist requirements, we work with our partners to integrate our solutions in a way that benefits you specifically.
Quality enhancement
Delivers superior audit depth through AI-supported analysis that augments human insights.
Risk reduction
Comprehensive audit coverage with systematic documentation and reference tracking across complex financial frameworks.
Competitive advantage
Positions audit firms as technology leaders by delivering superior client value through cutting-edge AI capabilities that saves time and improves results.
Ready to transform your audit process?
Contact us today for a personalized demo and discover how ai/checklist & ai/numbers can elevate your audit capabilities.

Any questions left?
Learn how to structure financial audits, reduce manual work and increase consistency across engagements with AI.
How does dnl support both financial audit and ESG audit teams?
dnl uses the same workflow structure for financial audit and ESG audit because the underlying activities — disclosure review, checklist validation, source linking, documentation — are the same. ai/checklist handles ESG disclosure requirements alongside financial disclosure requirements. ai/numbers handles sustainability data points alongside financial figures. Engagement teams that already use dnl for financial audits extend the same workflow into ESG audits without learning a separate system or platform.
How does AI support disclosure review in daily audit work?
AI structures the disclosure review workflow so auditors stop spending time searching across PDFs, Excel files and reports for the right reference. ai/checklist walks through every disclosure requirement, proposes a checklist response with source references, and lets the auditor confirm, adjust or reject. Daily audit work shifts from “find the right paragraph” to “review the proposed answer and decide” — more judgment, less hunting.
How does dnl support audit documentation?
dnl builds the audit documentation as a by-product of the review work, not as a separate task at sign-off. ai/checklist records every checklist response with the AI suggestion, the source reference and the reviewer’s confirmation. ai/numbers records every validated figure with the documents it was traced to. The documentation is complete when the engagement closes — and it’s structured for peer review, partner sign-off and regulator request without rework.
How does ai/numbers support financial statement tie out?
ai/numbers automates tick-and-tie by identifying figures across the financial statements, notes, tables and supporting documents, then checking that every figure is consistent across each location it appears. It flags any discrepancy — a number that doesn’t match between the income statement and the supporting note, a total that doesn’t add up, a prior-year figure that’s changed — for auditor review. What’s typically hours of manual cross-checking becomes minutes of exception review.
How does ai/checklist support disclosure review?
ai/checklist connects each disclosure checklist question to the relevant passages in the financial statements, management report or sustainability disclosures. It identifies whether a disclosure requirement appears met, missing, inconsistent or not applicable — and proposes a checklist answer with source references. Auditors review the proposed answer, validate the references, and confirm or adjust the response. The result is a structured, traceable disclosure review with the audit trail built in.
How is dnl different from other audit software?
dnl is purpose-built for external auditors and the disclosure-review workflow. Most audit software started as working-papers or audit-management tools and added AI later; dnl was AI-native from day one, trained on audit data, built around the disclosure-review process and bound by audit-grade controls. Methodology-aware (your checklist, your firm), end-to-end across the disclosure-audit lifecycle, and aligned with the EU AI Act, ISO 27001 and GDPR — not retrofitted, not generic.


