Upload the source documents
Upload bank statements, loan schedules, payroll registers, invoices, transaction files, and financial statements in their original formats.
AUDIT SUITE
Extract data, trace supporting documents, test full populations, validate financial statements, and draft management letters—with every confirmed result linked to its source.
THE PROBLEM
Audit teams spend significant engagement time extracting figures from documents, tracing samples to supporting evidence, testing transaction data, checking financial statements, and writing up findings.
Audit Suite brings that work into one controlled workflow.
AI helps read documents and propose extractions or matches. Defined rules perform the tests. Auditors review and confirm the results. Every confirmed exception retains the source, rule, threshold, and action that produced it.
The result is not an unsupported AI answer. It is reviewable audit work backed by an evidence trail.
THE SUITE
Turn PDFs and scans into structured data. Each extracted field links back to its location in the source document.
EXTRACTED FIELDS
HOW IT WORKS
Upload bank statements, loan schedules, payroll registers, invoices, transaction files, and financial statements in their original formats.
Data Extract structures the required fields. Each field retains a link to its page and location in the source document.
Data Match proposes links between transactions and supporting documents. The auditor reviews each proposed match before it is recorded.
Population Audit applies selected tests—such as aging analysis, threshold checks, duplicate detection, and Benford-based anomaly screening—across the available dataset.
Audit Suite recalculates totals, checks repeated figures for consistency, compares document versions, and identifies movements against defined prior-year thresholds.
Auditors investigate flagged transactions, discrepancies, and validation issues, then decide which items should be recorded as findings.
Confirmed findings flow into a structured draft containing the relevant condition, cause, effect, recommendation, severity, and supporting evidence.
Edit and approve the final wording, then export the management letter and supporting workpapers with the audit trail intact.
POPULATION AUDIT
Sampling remains an important audit method, particularly where testing depends on documents, controls, or professional judgment.
But when the same defined test can be applied consistently to every available transaction, Audit Suite removes the need to limit that test to a sample.
Population Audit can screen the complete dataset for conditions such as:
Each flagged item shows what triggered it. The auditor then determines whether it represents an error, control issue, reportable exception, or no issue at all.
Audit judgment stays with the audit team. The amount of data the team can examine increases.
VALIDATION
Financial Statement Validation performs four controlled checks while keeping every flagged figure connected to its original line and page.
Every flagged item opens against the relevant source location, allowing the auditor to compare the presented figure, calculated result, and supporting context side by side.
REPORTING
Management letters should begin with the audit record—not a blank document or an unsupported AI-generated narrative.
Audit Suite creates a structured draft from findings the auditor has already reviewed and marked for reporting.
The draft retains the same source references used during testing and validation. Auditors control the final classification, severity, recommendation, and wording before anything is exported or shared with the client.
MANAGEMENT LETTER · DRAFT
FINDING 03CONFIRMED SOURCES
Three payments to the same destination within a 30-minute window bypassed the secondary approval control.
Approval thresholds were not enforced on split transactions.
Payments above the tier limit were released without independent review.
Enforce cumulative-value checks at the approval layer; review the exception log monthly.
High — assigned by auditor
3 linked transactions · statement p.4 · rule THRESHOLD-02
THE ROLE OF AI
General-purpose AI tools can help interpret documents and draft text, but they do not inherently guarantee the reproducibility, traceability, or controls required for audit work.
Audit Suite gives AI a narrower role:
AI does not independently approve a match, determine whether an exception is a finding, or finalize a management letter.
Defined rules perform the tests. The underlying documents provide the evidence. The auditor reviews and decides.
That separation allows audit teams to use AI without treating an AI response as audit evidence.
TRACEABILITY
Every confirmed output retains a record of how it was produced:
Extracted figures link to their source page and location
Proposed matches enter the record only after confirmation
Population-testing exceptions identify the triggering rule
Validation issues link to the relevant statement line and page
Management-letter findings retain their supporting evidence
Auditor decisions and edits remain part of the review trail
When a reviewer asks, "How do you know?", the supporting record is already there.
WHO IT IS FOR
Audit Suite is designed for audit teams managing multiple engagements, large transaction populations, and document-intensive testing.
It is particularly useful when teams currently:
Extract figures from PDFs or scans by hand
Trace transaction samples to source documents manually
Limit repeatable tests because full-population testing takes too long
Recalculate and cross-check financial statements line by line
Move findings manually from workpapers into management letters
Spend significant review time reconstructing how a result was reached
Audit Suite has been used on live engagements with Ronalds, an audit firm in Kenya, and is designed to support broader external audit, internal audit, and compliance workflows.
FAQ
See how Audit Suite connects extraction, testing, validation, findings, and reporting in one reviewable workflow.