Finspectors AI
AI-native audit workspace for modern accounting firms
Founded
2024
Starting Price
Free
Category
Finance & Accounting
Last updated April 26, 2026
About Finspectors AI
Finspectors AI is an AI-native audit platform that automates risk assessment, evidence validation, workpaper generation, and client collaboration. It uses agentic AI to score every general ledger transaction, match evidence to supporting documents, and draft conclusions, helping audit firms run faster, more structured, and defensible audits from planning to reporting.
Pros & Cons
Pros
- Scores every GL transaction with ML rather than relying on traditional sampling
- End-to-end coverage from planning through reporting in a single console
- AI-drafted workpapers and conclusions cut manual documentation time
- Strong integration footprint with major accounting and HR/payroll systems
- Purpose-built for audit defensibility and regulatory compliance
Key Features
Risk Intelligence Engine
ML-driven risk scoring across 30+ audit controls ranks every GL transaction before fieldwork instead of relying on sampling.
Automated Evidence Verification
AI extracts data from supporting documents and matches transactions to evidence, flagging variances and inconsistencies.
Smart Workpapers
Generates draft workpapers, PBC lists, and conclusions from testing results, ready for reviewer sign-off.
Client Collaboration Hub
Structured request management with real-time tracking of outstanding items and client responses.
Financial Statement Validation
Automated consistency checks across the financial statements, footnotes, and underlying schedules.
Six Named AI Agents
Specialized agents for Risk, Evidence Automation, Workpaper drafting, Request Management, Review, and Reporting work in concert across the audit lifecycle.
20+ System Integrations
Connects with QuickBooks, Workday, ADP, Sage, Google Drive, and other accounting and document systems.
Pricing
Free Trial
Free
- Hands-on access to the platform
- Sample audit workflows
- Evaluate AI risk scoring and evidence checks
Custom
Contact Sales
Best For
Risk-based audit planning
Audit teams use AI scoring across the full GL to focus testing on the riskiest transactions instead of statistical samples.
Evidence collection and matching
Automate document requests, extract figures from PDFs and images, and match them to underlying transactions.
Workpaper preparation
Generate draft testing memos, PBC lists, and conclusions, with reviewers focusing on judgment rather than typing.
Client request management
Run structured PBC workflows with real-time tracking so engagement leads always know what is outstanding.
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