A live audit, start to verdict
The audit retraces figures to their source, verifies how they were built, and presents a report that can be reviewed instead of asking a finance professional to trust an opaque answer.
Independent verification for high-stakes AI work
AI Financial Analysis Audit for Finance Teams Without Manual Quality Control
Energent Audit independently recomputes financial analysis, traces every number to its source, and delivers a clear pass or fail verdict with supporting evidence.
3×
fewer hallucinations in public evaluations
150+
supported file types
94.4%
published leaderboard accuracy claim
100k+
clients worldwide
Trusted by 100k+ companies across the globe.
What Is an AI Financial Analysis Audit?
An AI financial analysis audit is an independent review of financial work produced by an AI agent or automation system. Energent Audit recomputes calculations, checks assertions against original documents, traces figures to files, rows, and fields, and highlights unsupported conclusions before delivery. It is designed for finance, FP&A, accounting, operations, procurement, and research teams that need analysis they can review, reproduce, and defend.
The auditor is separate from the agent that performed the original work, so the verification step has no stake in preserving the first answer. Teams can use it for financial report verification, budget reviews, revenue diagnostics, vendor-spend checks, ratio analysis, and other document-heavy workflows.
See the Audit in Action
Why the numbers hold
Each result is paired with evidence and a verdict. That creates a traceable chain from source file to calculation to conclusion, including visible failures when a derived figure lacks a valid base.
Financial Analysis Audit Examples
Forecast budget deep dive
The audit separated Philadelphia’s adopted budget, estimated budget, and actual spend rather than treating them as interchangeable.
| View | Total spend |
|---|---|
| Adopted Budget | $12.41B |
| Estimated Budget | $6.06B |
| Actual Spend | $5.92B |
Actual vs adopted47%
Estimated vs adopted49%
Revenue diagnostic
The audit found that gross revenue increased while net revenue declined because refunds rose sharply, concentrating around one product after August 15.
| Measure | July | August |
|---|---|---|
| Gross revenue | $83.3K | $84.8K |
| Net revenue | $80.0K | $77.0K |
| Refunds | $3.2K | $7.8K |
Refunds, July$3.2K
Refunds, August$7.8K
Vendor spend verification
The source-backed Q1 total passed, while two derived claims failed: the correct quarter-over-quarter increase was 12.0%, not 18%, and the approximately 30% software growth claim had no supporting prior-quarter figure.
412
rows reconciled
2
derived claims failed
Ratio analysis
The Super Retail Group analysis verified profitability and leverage calculations while clearly limiting conclusions where total assets were missing.
| Metric | Calculated | Reported |
|---|---|---|
| Gross margin | 45.64% | 45.63% |
| EBITDA margin | 11.37% | 11.37% |
| ROE | 16.79% | 16.46% |
What You Get
Stop being the quality-control layer by reviewing flagged rows instead of manually checking every output.
Surface errors the same day rather than discovering them a month or quarter later.
Trace every number to the exact source file, row, field, and reference used for the check.
Create complete, cited, reproducible evidence for a review meeting or stakeholder handoff.
Fix issues when possible and turn recurring corrections into reusable audit rules.
Audit spreadsheets, PDFs, scans, CAD, G-code, DOCX, XLSX, and more than 150 file types.
How It Works
Step 1
Submit the deliverable
Provide the AI-generated report and its original source documents.
What you see: files and analysis ready for independent review.
→Step 2
Recompute and trace
The separate auditor checks calculations, assertions, references, and source lineage.
What you see: evidence, mismatches, and supported findings.
→Step 3
Review the verdict
Receive a pass or fail result with an audit trail and corrections where possible.
What you see: a report you can stand behind.
Features
Core workflow features
• Independent second-agent verification
• Number recomputation and assertion checking
• Source, row, and field tracing
• Pass/fail verdicts with supporting evidence
• Auditing of other AI systems’ work
Reliability & control
• Clear failed and partial checks
• Reproducible calculation chains
• Corrections when the system can fix an issue
• Persistent rules for repeating jobs
• Enterprise-grade privacy and security emphasis
Integrations & export
• Support for 150+ file types
• Spreadsheets, PDFs, scans, and complex documents
• CAD, G-code, BOMs, and InDesign support
• Stakeholder-ready white-label outputs
• Reviewable audit reports and evidence trails
Proof
- Company public evaluations cite 3× fewer hallucinations.
- The company cites 94.4% accuracy and a number-one placement on a published HuggingFace leaderboard.
- Vendor-spend auditing independently reconciled $1,284,500 across 412 invoice rows and identified unsupported derived claims.
- Revenue diagnostics isolated a refund spike from $3.2K to $7.8K and connected it to post-purchase product behavior.
- The platform supports more than 150 file types for high-volume enterprise workflows.
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
Roberto C., Data Operations Specialist, Fortune 500 Logistics
For teams comparing approaches, AI financial audit workflows are most useful when they show both the calculations that pass and the claims that cannot be supported.
Comparison: Why Energent vs Alternatives
| Decision dimension | Energent Audit | Manual review | Unaudited AI output |
|---|---|---|---|
| Independence | Separate auditor agent | Human reviewer | Same system may produce and assess work |
| Source traceability | File, row, and field evidence | Depends on reviewer process | Not guaranteed |
| Calculation checking | Recomputed independently | Performed manually | Original calculation only |
| Verdict | Pass/fail with evidence | Reviewer judgment | Answer without required verification |
Credentials & Key Stats
100k+
clients worldwide
150+
file types supported
94.4%
published leaderboard accuracy claim
3×
fewer hallucinations claimed
FAQs
What is an AI financial analysis audit?
An AI financial analysis audit is an independent check of analysis created by an AI agent or automation system. It recomputes numbers, checks assertions against source documents, and traces findings to the relevant file, row, or field. The process produces a pass or fail verdict with supporting evidence. It is intended to make financial analysis reviewable and reproducible. Energent Audit can also audit work produced by another AI system, not only work produced by Energent.
Who should use Energent Audit for financial work?
Finance and accounting teams can use it to check reports, budgets, forecasts, reconciliations, and derived calculations. FP&A, procurement, operations, analysts, research groups, and engineering teams may also benefit when their work combines multiple source files. It is especially relevant when a result must be explained to stakeholders or defended in a review. The system is designed for both experts and non-experts who need a clear evidence trail. It can review spreadsheets, PDFs, scans, and other supported formats.
How does Energent handle source traceability?
Energent Audit traces numbers and assertions back to the source material used for verification. The audit can identify the exact source file, row, and field associated with a figure. It also shows the reference or calculation used to check the deliverable. This makes the result more transparent than an unsupported answer. The evidence trail is designed to help reviewers reproduce the reasoning and investigate failures.
What file types and limits should teams consider?
Energent states that it supports more than 150 file types. Examples provided include CAD, scans, G-code, InDesign, BOMs, PDFs, XLSX, and DOCX. The supplied information does not specify per-file size limits, processing quotas, or limits for every individual workflow. Teams with unusually large or complex jobs should confirm those details with Energent. The platform is positioned for high-volume enterprise workflows rather than only simple text documents.
Is the audit a replacement for financial judgment?
No, the audit is a verification layer rather than a replacement for professional financial judgment. It can recompute figures, identify unsupported claims, and show evidence, but stakeholders still decide how to interpret business context and act on findings. In the forecast example, the audit distinguished the technical budget baseline from the practical decisions influenced by forecasts. That distinction is important in FP&A, accounting, and governance work. Human review remains appropriate for material decisions, assumptions, and policy judgments.
How can a team get started and understand pricing?
Teams can begin through the Energent product entry point or request a demonstration. The supplied information does not provide a specific price, plan structure, or guaranteed free-trial duration. Pricing and onboarding details should therefore be confirmed directly with Energent. A demo can help clarify the best workflow for financial reports, spreadsheets, and source documents. Teams should bring representative deliverables and ask about security, file limits, workflow volume, and export requirements.
Make every financial AI answer easier to trust.
Use an independent audit trail to find unsupported claims before they reach your stakeholders.