ai/numbers
Where intelligence meets precision
Add speed and confidence to your audit. ai/numbers automates consistency validation, ensures mathematical precision and streamlines collaboration.
Effortless automation
AI-powered automation validates calculations, checks internal and external consistency, and compares prior years - cutting manual review time while eliminating error risk.
Deep insight
Advanced algorithms surface material changes and discrepancies instantly, delivering the comprehensive analysis depth auditors need for reliable, high-quality work.
Seamless collaboration
A centralized workspace with cloud integration keeps teams aligned on the same intelligent foundation, scaling collaboration across teams and global markets.
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
Core validation & verification
Mathematical consistency validation
Ensure mathematical integrity by using ai/numbers to automatically verify all totals, ratios, and calculations in your financial statements.
Internal consistency monitoring
Uncover discrepancies between related line items, ensuring complete consistency throughout your audited files.
External validation
Upload supporting documents-invoices, bank statements, third-party reports, to create a robust audit trail.
Comparative analysis & document management
Prior year consistency
Automatically validates current disclosures against last year’s report and highlights discrepancies for quick review.
Advanced document comparison
Track revisions, assess impact, and maintain the version control with our sophisticated side-by-side comparison tool.
Cloud collaboration
Work in a unified digital environment that supports multi-user collaboration, enabling auditors to share insights and maintain accountability.
Trustworthy security
Our cloud integration ensures continuous, compliant processes that meet international security standards.
Your AI-powered partner
At dnl we know that each team has a unique set of requirements that will allow their workflow and processes to be truly enhanced by AI to create genuine value. With that in mind we work with you to design the best solution for your ambitions. So, whether you are looking for a white-labelled solution or a plug-n-play SaaS opportunity, our offering is designed around your needs.
ai/numbers
From regulatory audits to M&A
Regulatory reporting audits
Auditors can leverage ai/numbers to verify that complex regulatory disclosures are mathematically and internally consistent, reducing compliance risks and ensuring accurate filings.
Mergers & acquisitions due diligence
Accelerate due diligence by quickly assessing and verifying the financial health of target companies through automated cross-verification of financial data.
Compliance audits for public companies
Ensure that public companies adhere to strict regulatory requirements by using ai/numbers to perform thorough checks of financial consistency, from calculated totals to detailed line-item reviews.
Financial statement reviews
Enhance traditional financial statement audits by using prior-year consistency checks and external validations to provide a comprehensive review of changes, trends, and potential errors.
Internal control assessments
Validate internal controls and identify weaknesses by ensuring that financial figures are consistently reported and that discrepancies are flagged automatically.
ai/numbers
Latest releases
Any questions left?
Learn how to validate figures, link audit evidence and detect inconsistencies across financial documents with AI.
Does ai/numbers only work on financial statements?
No. ai/numbers supports financial statement review, regulatory reporting validation, M&A due diligence, internal control assessments and any audit workflow where figures need to be validated against supporting documentation. The underlying engine — identifying figures, mapping them across formats, checking consistency — is the same regardless of the document type. The use case is broader than the financial-audit workflow it’s best known for.
What is ai/compare and how does it work with ai/numbers?
ai/compare is dnl’s document comparison module. It identifies changes between document versions so audit teams can focus on what changed rather than re-reading entire reports. When a client provides an updated financial statement or sustainability report, ai/compare highlights the differences, ai/numbers re-validates the affected figures, and ai/checklist re-opens the disclosure checklist items that the changes touch. Version control and change tracking are built in.
How does ai/numbers support disclosure consistency checks?
ai/numbers runs four kinds of disclosure consistency checks: mathematical (do the totals add up?), internal (is the same figure consistent across all places it appears in the report?), external (does the figure match the supporting documentation?), and prior-year (how has it changed?). Each check runs automatically across the full document set, and any discrepancy is surfaced for auditor review with the source references attached.
Does ai/numbers process Excel and PDF files?
Yes. ai/numbers processes both structured and unstructured formats, including Excel files, PDFs and report tables. It identifies figures consistently across formats — the same number in an Excel schedule, in a PDF disclosure note and in a supporting invoice gets mapped together. This is critical for tie-out work, where supporting documents almost always arrive in different formats than the financial statements themselves.
Can ai/numbers handle prior year disclosure comparison?
Yes. ai/numbers automatically compares current-year figures and disclosures against the prior-year report, flagging changed values, unusual movements, missing updates and roll-forward issues. The system surfaces what’s changed so auditors can focus on whether the change is reasonable, properly disclosed and appropriately supported — instead of manually re-reading every page of last year’s financial statements to find the differences.
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.
What is ai/numbers?
ai/numbers is dnl’s module for financial statement tie out, mathematical consistency validation and prior year disclosure comparison. It identifies figures across financial statements, notes, tables and supporting documents, maps them to their references, and flags any inconsistency for auditor review. ai/numbers handles internal consistency, external validation against supporting documents and prior-year comparison — automating the tick-and-tie work auditors typically do manually.
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Contact us today for a personalized demo and discover how ai/checklist & ai/numbers can elevate your audit capabilities.