Finspectors background

Substantive Testing

Review

Every Transaction

 Automate evidence testing - Retreive information from the supporting document and verify against underlying transaction.

Substantive testing by Finspectors

Execution Challenges

Transactions Are Digital.

Testing Remains Manual.

Manual document verification and documentation increases fieldwork time and the risk of missed discrepancies.
Finspectors.ai

Evidence verification

in just 3 Steps
Done

Select Samples

Choose your test transactions
Done

Upload documents

For automated data retreival and review
Done

Get Results

Audit grade workpapers with flagged misstatements

Automated Execution

Transform Manual Testing Into

Structured Automation

AI Execution

Automated Evidence Testing

 Retrieve information from documents and verify against undelying transaction - eliminating manual review.
Done
Intelligent evidence matching
Done
Transaction level traceability
Done
Structured exception reporting
Done
Audit trail integrity
Book a Demo
Table showing a preview of invoice extraction with columns for Invoice #, Date, Amount, Vendor Name, and PO#. Example entries include INV-1001 dated 2025/01/06 for $15,300 from Studio Shop.Finspectors background
Finspectors backgroundTable comparing Input and Output dollar amounts with a Difference column showing $300, $0, $346, $0, $0, $0, $1,690, $4,150, and $0 differences highlighted in red, green, and blue backgrounds.
Instant validation

Catch Errors Effortlessly

Universal File Processing

Extract Structured Data

Fins AI agents capture transaction level data from unstructured files to support automated substantive testing workflows.
Book a Demo
User interface displaying a three-step process with tabs labeled Input, Source, and Rules; showing output columns settings for Invoice # with Verify operation and Hash data type, and Date with Verify operation and Date data type, each having result placement options.Finspectors background

Execution Features

Capabilities Powering

Substantive Testing

Precision Field Extraction

Extract structured financial values from invoices, ledgers, and statements with contextual accuracy.

Intelligent Data Matching

Automatically match transactions, OCR results, and supporting documents using structured validation logic.

Context Aware Validation

Interpret financial fields based on transaction type, audit standards, and supporting documentation context.

Source Linked Evidence

Connect every tested value directly to its originating document with full traceability.

Traceable Annotations Layer

Record findings, highlights, and reviewer notes with immutable source-level references.

Collaborative Review Controls

Enable auditors to comment, validate exceptions, and finalize testing conclusions together.
finspectors.ai
Finspectors.ai

Other Solutions

Explore more

with Finspectors

Risk Assessment

Risk scoring at transaction level with ML
Explore

Financial Statement Validation

Review Financial Statments for sign off readiness
Explore