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Review 100% transactions with machine learning algorithm
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Digital client collaboration hub
Risk Assessment & Analytics
Review 100% transactions with machine learning algorithm
Substantive Testing
Automated evidence verification and review
Financial Statement Validation
Review Financial Statements for sign off readiness
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Substantive Testing
Review
Every Transaction
Automate evidence testing - Retreive information from the supporting document and verify against underlying transaction.
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Product Overview
Execution Challenges
Transactions Are Digital.
Testing Remains Manual.
Manual document verification and documentation increases fieldwork time and the risk of missed discrepancies.
Evidence verification
in just 3 Steps
Select Samples
Choose your
test transactions
Upload documents
For automated data retreival
and review
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.
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Intelligent evidence matching
Transaction level traceability
Structured exception reporting
Audit trail integrity
instant validation
Catch Errors Effortlessly
Evidence Variance
Instantly compare ledger amounts against extracted document values.
Exception Highlighting
Flag mismatches clearly for rapid auditor review.
Discrepancy Detection
Identify calculation gaps across linked transaction fields.
Reviewer Controls
Override findings with traceable approval history.
universal file processing
Extract Structured Data
Fins AI agents capture transaction level data from unstructured files to support automated substantive testing workflows.
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Multi Format Support
Process PDFs, images and other unstructured data layouts.
Context Aware Extraction
Retain context of financial tables and nested disclosures.
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.
Other Solutions
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with Finspectors
Risk Assessment
Risk scoring at transaction level with ML
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Financial Statement Validation
Review Financial Statments for sign off readiness
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Experience Automated Evidence Verification
Retrieve and match transactions against supporting document automatically.
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