Audit evidence extraction
Extract structured data from contracts, invoices, and third-party confirmations directly into workpapers, removing the manual transcription step from every testing procedure.
Industries
AI systems for accounting and audit
We build production AI for accounting firms and internal audit functions: evidence extraction, anomaly detection, and close automation that runs against your general ledger and engagement systems, with a reviewer signing off every material judgement.
Where this fits
Close and audit cycles are built around the same repeated task: someone reads a document, a statement, or a ledger export, and re-keys or reconciles it into a workpaper or close checklist. Multiply that across every engagement or every subsidiary close, and a firm’s capacity is set by how fast people can read, not by how well they can judge. Anomalies get missed not because staff lack skill, but because nobody has time to look at every journal entry in a population of hundreds of thousands.
We build systems that do the reading and flag what deserves judgement. Audit evidence extraction pulls structured data from contracts, invoices, and bank confirmations into your workpapers; journal entry anomaly detection scores every entry in a population against your own historical patterns instead of sampling a subset; close automation reconciles subledgers to the general ledger and flags genuine breaks. The output is a shorter list for your staff to review, not a black-box conclusion. Every flagged item comes with the data and rule that produced it, ready for a reviewer’s sign-off.
Named solutions
What we build for Accounting & Audit
02
Journal entry anomaly detection
Score every journal entry in a population against historical patterns, timing, and preparer behaviour, surfacing candidates for testing instead of relying on a manual sample.
03
Month-end close automation
Reconcile subledgers to the general ledger and flag genuine variances, cutting the manual reconciliation work that stretches every close into the following week.
04
Engagement letter & scoping drafting
Draft engagement letters and audit scoping documents from prior-year files and risk assessments, giving engagement teams a reviewable starting point each cycle.
05
Tax document intelligence
Extract data from tax filings, invoices, and supporting schedules into structured records, reducing the re-keying that precedes every tax return or provision calculation.
06
Workpaper review copilots
Check workpapers against firm methodology and prior review comments before they reach a manager, catching formatting and completeness issues before human review time is spent on them.
07
Financial statement narrative drafting
Draft MD&A and disclosure narrative sections from underlying financial data and prior filings, for a preparer to edit rather than write from a blank page.
08
Controls testing automation
Test control operation against system logs and transaction data at full population scale, rather than the sample size a manual walkthrough allows.
09
AR/AP reconciliation
Match accounts receivable and payable records against bank and counterparty statements automatically, surfacing breaks that would otherwise wait for a manual tie-out.
How we work
Our delivery process
- 01
Discovery & data audit
We map your general ledger, engagement, and document systems, along with the standards that govern the work: ISA, ISQM, and firm methodology.
- 02
Compliance-aware integration
We connect to ledger, engagement management, and document systems under your access controls, with extraction fully logged.
- 03
Model build & validation
We build extraction and anomaly-detection models and validate them against prior-period data your team can independently check.
- 04
Reviewed deployment
Systems ship with a mandatory reviewer sign-off step on any output feeding an opinion, financial statement, or filing.
- 05
Monitoring & retraining
We track detection accuracy across engagements and retrain as client mix, standards, or ledger systems change.
Compliance
Built for the audit and accounting standards stack
Systems we deploy for accounting and audit teams are designed around ISA and ISQM requirements for audit evidence and quality management, EU AI Act provisions relevant to AI-assisted professional judgement, and GDPR handling of client financial data. Every AI-assisted output that feeds an audit opinion, financial statement, or regulatory filing carries a documented human review step, and every anomaly flag or extraction is logged with the source data and rule that produced it, so engagement quality review has a clear trail.
Frequently asked questions
Does this replace professional judgement in an audit?
No. It surfaces evidence and anomalies at a scale manual sampling cannot reach; a qualified reviewer still applies professional judgement and signs off on every conclusion that matters.
How do you handle client confidentiality across engagements?
Each engagement’s data is isolated by design, and most firms run this on-premises or in a private VPC specifically to avoid client financial data touching a shared third-party API.
Can this work with our existing engagement management software?
Yes. We build the integration to your existing engagement management, ledger, and document systems rather than requiring a new platform.
How does this affect audit quality review and inspection readiness?
Every automated flag or extraction is logged with its source data and the rule that produced it, which gives engagement quality reviewers and inspectors a documented trail rather than an unexplained output.
Related services
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Talk to us about Accounting & Audit
A 30-minute call to scope what a first system would look like against your own data and systems.
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