Trace every number to its origin
The auditor shows the source file, extracted field, row, and reference used to verify a number. This creates a reviewable chain rather than leaving the reader with a black-box answer.
Independent AI verification for high-stakes work
AI Document Audit Software for Analysts and Enterprise Teams (Without Manual Quality Control)
Energent Audit independently recomputes numbers, traces claims to source files, and returns an evidence-backed verdict before an AI-generated deliverable reaches your users.
150+
Supported file types
3×
Fewer hallucinations claimed
94.4%
Published leaderboard accuracy
100k+
Clients worldwide
Try an audit workflow
Describe the deliverable you want checked.
Trusted by 100k+ companies across the globe.
What Is AI Document Audit Software? (Quick Definition)
AI document audit software independently checks reports, spreadsheets, PDFs, dashboards, charts, scans, CAD files, and other deliverables produced by AI or automation. Energent Audit acts as a separate second agent: it retraces figures to the source file, row, and field, recomputes calculations, checks requirements, corrects issues where possible, and attaches evidence to a pass, partial, or fail verdict. It is designed for analysts, finance and accounting teams, operations, procurement, engineering, research, and enterprise workflows where an unsupported number or claim can create real downstream risk. Teams evaluating AI fact-checking tools can use this approach to move from checking everything manually to reviewing the exceptions that matter.
Independent Auditing for Real-World Deliverables
Recompute derived metrics
Totals, percentages, ratios, formulas, and calculation bases can be independently recalculated. In one financial spend audit, a claimed 18% increase was corrected to approximately 12.0%.
Validate complete deliverables
Energent Audit checks reports, PDFs, Markdown files, dashboards, spreadsheets, charts, and other outputs for completeness, consistency, methodology, and alignment with requirements.
Review work from any AI system
The auditor is separate from the agent that produced the work, and the shipped sample task includes auditing another AI’s work. That independence is intended to reduce confirmation bias.
Correct issues where possible
When a problem can be resolved, the auditor fixes it. Findings that require human judgment are clearly flagged rather than silently passed through.
See the audit in action
What You Get (Key Benefits)
Reduce manual quality control by reviewing flagged rows and findings instead of checking every output line by line.
Detect errors the same day rather than discovering unsupported claims weeks or months after delivery.
Trace evidence to its source with file, field, row, and reference details that support review meetings.
Produce defensible work through complete, cited, and reproducible audit results.
Catch hallucinations before delivery by testing claims against the original documents and data.
Handle complex inputs across 150+ file types, including CAD, G-code, scans, InDesign, BOMs, PDFs, XLSX, and DOCX.
How It Works
Step 1
Produce the deliverable
An AI agent or analyst creates a report, spreadsheet, dashboard, PDF, or other requested output.
What you see: the completed work ready for review.
Step 2
Run the independent audit
Energent Audit retraces claims, recomputes figures, checks formulas, inspects charts, and compares the result with source material.
What you see: findings linked to source evidence.
Step 3
Review the verdict
The system corrects issues where possible and returns a pass, partial, or fail assessment with a reproducible audit trail.
What you see: a report you can stand behind.
Features (Grouped)
Core workflow features
Recompute totals, percentages, ratios, and derived metrics.
Trace numbers to exact source files, rows, and fields.
Verify reports, dashboards, charts, PDFs, and spreadsheets.
Audit deliverables created by other AI systems.
Attach evidence to every finding and verdict.
Reliability & control
Use an independent second agent.
Detect unsupported claims and inferences.
Check methodologies, assumptions, and requirements.
Correct issues where possible.
Flag findings that need human review.
Integrations & export
Support 150+ file types.
Work with CAD, G-code, scans, BOMs, and complex documents.
Review XLSX, DOCX, PDF, Markdown, and generated reports.
Generate review-ready audit results.
Create reproducible evidence trails for stakeholders.
For teams building a wider control framework, AI audit trail software can complement document verification by preserving how findings were produced and reviewed.
Proof (Results / Social Proof)
- Energent reports 94.4% accuracy on a published HuggingFace leaderboard and a number-one placement on the cited leaderboard.
- The company cites 3× fewer hallucinations in public evaluations and says its result was 30% more accurate than the listed second-place alternative.
- A consulting savings audit returned 6 checks, 6 pass, 0 partial, and 0 fail.
- A financial spend audit reconciled Q1 spend of $1,284,500 to 412 invoice rows and corrected an unsupported 18% growth claim to approximately 12.0%.
- A revenue diagnostic found 11,801 sessions without source and campaign tags, while confirming that line-item sums aligned with total order prices.
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”
Alyse H., Digital Collection Curator
“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”
Kay P., Power Query Analyst
“Energent.ai is a great platform... the interactive outputs add real value to my work.”
Amjad M., Telecommunications Engineer
Audited Use Cases and Data Evidence
The sample audits show how AI document audit software can be applied to finance, revenue, consulting, dashboards, ratios, and geolocation evidence. The figures below are taken from the supplied audit examples.
Forecast budget deep dive
Philadelphia FY2023 spending views verified by the audit.
Adopted budget$12.41B
Estimated budget$6.06B
Actual spend$5.92B
Actual spending was approximately 47% of the adopted budget.
Revenue diagnostic
July-to-August 2014 changes verified by the audit.
| Metric | July | August |
|---|---|---|
| Gross revenue | $83.3k | $84.8k |
| Conversion | 6.75% | 7.13% |
| Net revenue | $80.0k | $77.0k |
| Refunds | $3.2k | $7.8k |
Consulting savings scenarios
| Execution path | Savings/FTE | FTEs for $1M |
|---|---|---|
| Pure elimination | $305,173 | Approx. 3.3 |
| Internal backfill | $203,449 | Approx. 4.9 |
| AI efficiency, 40% gain | $122,069 | Approx. 8.2 |
Ratio analysis verification
45.64%
Gross margin
11.37%
EBITDA margin
16.79%
ROE
93.53%
Debt-to-equity
The audit caveat stated that total assets were missing, so ROA and debt-to-assets could not be independently calculated.
For finance teams, AI financial audit verification is especially useful when a report combines source data, calculations, assumptions, and narrative conclusions. For planning workflows, AI budget planning analysis can be reviewed using the same source-grounded method.
Comparison (Why Energent vs Alternatives)
| Decision dimension | Energent Audit | Original AI only | Manual review |
|---|---|---|---|
| Independent second reviewer | Yes, separate auditor | No separate auditor described | Human reviewer |
| Source-file traceability | File, row, field, and reference | Not provided in the supplied description | Depends on reviewer process |
| Numerical recomputation | Totals, ratios, percentages, and formulas | Not independently verified | Performed manually |
| Pass, partial, or fail verdict | Included with evidence | Not described | Depends on review format |
| Scale across file types | 150+ file types | Not specified | Depends on team capacity |
Teams creating a repeatable control process can also use an AI audit checklist alongside the independent report, especially when the same requirements recur across many deliverables.
Credentials & Key Stats
100k+
Clients worldwide
150+
Supported file types
94.4%
Published leaderboard accuracy claim
3×
Fewer hallucinations claimed in public evaluations
FAQs
What is AI document audit software, and who should use it?
AI document audit software independently checks documents and deliverables produced by AI or automation against the original source material. It can recompute numbers, trace claims, inspect charts, validate requirements, and attach evidence to a verdict. Energent Audit is intended for analysts, finance and accounting teams, operations, procurement, engineering, research groups, and enterprise users. It is most relevant when a report must be accurate, reviewable, and defensible. The central idea is to have a separate auditor check the work before it reaches the user.
Can Energent Audit check work created by another AI system?
Yes, the supplied product description specifically says that Energent Audit audits work produced by other AI systems, not only Energent output. It operates as an independent second agent separate from the system that created the deliverable. That separation is designed to reduce confirmation bias during verification. The shipped sample task includes “Audit another AI’s work.” The audit then checks the completed deliverable against its source files, calculations, requirements, and supporting evidence.
What file types and deliverables can it review?
Energent states that it supports more than 150 file types. The supplied examples include CAD, G-code, scans, InDesign files, bills of materials, PDFs, XLSX files, DOCX files, dashboards, charts, Markdown files, and generated reports. The audit workflow is designed to inspect both the source material and the final deliverable. It can check numerical values, formulas, references, methodology, and completeness where the relevant evidence is available. The exact result depends on the files, requirements, and information supplied for the audit.
How does the source traceability work?
The auditor retraces each figure or assertion to the source material used for verification. The product description says the result can show the exact source file, extracted field, row, and reference associated with a finding. It also independently recomputes totals, percentages, ratios, and other derived values. This creates an evidence-backed chain instead of presenting a number without context. The resulting audit report is intended to be complete, cited, and reproducible for review.
Does the system replace human review?
Energent Audit is positioned to reduce manual quality control, not to remove every human decision. It can correct issues where possible and flag findings that require human review. The buyer benefit described by Energent is a shift from verifying everything to reviewing what is flagged. Human judgment may still be needed for assumptions, ambiguous evidence, methodology choices, and business decisions. The pass, partial, or fail result gives reviewers a structured starting point and a documented evidence trail.
Is pricing or a free trial available?
The supplied information does not include specific pricing details or a stated free-trial policy. Users can access the product entry point through the Start Free button or request a conversation through Book Demo. A demo is the appropriate route for teams that need to discuss enterprise workflows, file types, audit requirements, or volume. Pricing and availability should be confirmed directly with Energent. The product page should not be interpreted as making a pricing promise that is not present in the supplied information.
Verify AI work before it becomes your problem.
Run an independent audit, trace every important number, and deliver results with evidence you can stand behind.