Energent Audit independently recomputes spreadsheet outputs, traces numbers to their source, and returns a reviewable pass or fail verdict before your deliverable reaches stakeholders.
Trusted by 100k+ companies across the globe.
AI spreadsheet audit software independently checks calculations, data relationships, formulas, and assertions in spreadsheets and related deliverables. Energent Audit works as a second AI agent separate from the agent or person that performed the original analysis.
It recomputes totals, validates denominators, follows values back to source files and fields, identifies unsupported claims, and attaches evidence to a pass, partial, or fail result. It is designed for finance, accounting, operations, procurement, analysts, engineering teams, research groups, and enterprise workflows where spreadsheet errors need to be found before delivery.
For teams evaluating AI audit software, the central distinction is traceability: the reviewer can see how a figure was checked rather than receiving an unexplained confidence score.
These examples show the types of spreadsheet and data-quality problems Energent Audit can surface. Each result is tied to a calculation, source, or documented check.
The audit independently re-summed 412 invoice rows and confirmed Q1 spend of $1,284,500 to the cent. It also failed the claim that spend was up 18% from Q4: the correct increase was 12.0%, because the original comparison used an incomplete Q4 subtotal.
The audit compared adopted budget, estimated budget, and actual spend, showing $12.41 billion, $6.06 billion, and $5.92 billion respectively. It also identified category-level movements, including a 98% decline for Mental Health and Substance Use Services and a 2.4% overspend in Police.
The review found gross revenue rising from $83.3k to $84.8k while net revenue fell from $80.0k to $77.0k. Refunds increased from $3.2k to $7.8k, with “The Original Mr. Fuzzy” refunds increasing from 42 to 132 units.
The report passed the right-to-left sheet setting and data aggregations, including an Oceania average life expectancy of 74.32620833333333. It failed an incorrect column reversal and detected a chart range that omitted the final data row.
Recompute totals, formulas, and derived figures instead of accepting the original calculation.
Trace every important number to its source file, row, field, or cell.
Expose unsupported claims, missing source data, incorrect denominators, and methodology issues.
Receive automated pass, partial, or fail verdicts with supporting evidence.
Turn repeating audit work into reusable workflows that retain audit rules over time.
Produce stakeholder-ready outputs that are reviewable, cited, and reproducible.
Provide the spreadsheet, source files, or completed AI-generated analysis that needs checking.
What you see: your files and audit task ready for review.
A separate auditor recomputes values, validates assertions, and checks the deliverable against the original sources.
What you see: checks, calculations, citations, and flagged issues.
Use the evidence-backed pass, partial, or fail report to focus human attention where it matters.
What you see: a reproducible report you can stand behind.
Independent second-agent verification
Spreadsheet and CSV re-summation
Formula and denominator validation
Detection of unsupported derived claims
Reusable workflows that learn audit rules
Source-file, row, field, and cell-level traceability
Detection of missing source data
Detection of amortization and methodology issues
Data-quality and consistency checks
Automated pass, partial, and fail verdicts
Support for 150+ file types
Support for spreadsheets, PDFs, scans, CAD, G-code, DOCX, and XLSX
Dashboard layout validation
RTL spreadsheet and chart-range validation
Evidence-backed audit reports and review-ready citations
“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
| Audit dimension | Energent Audit | AI output without independent audit | Manual spreadsheet review |
|---|---|---|---|
| Independence | Separate second agent | Same output process | Human reviewer |
| Recomputation | Numbers and formulas recomputed | Not independently verified | Depends on reviewer time |
| Source traceability | File, row, field, and cell evidence | May lack an evidence trail | Manual documentation |
| Verdict | Pass, partial, or fail | Original answer only | Reviewer conclusion |
| Repeatability | Reusable workflows and audit rules | Prompt-dependent | Reviewer-dependent |
“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, Fortune 50 Financial Services
AI spreadsheet audit software checks spreadsheet calculations, claims, and data relationships with automated analysis. Energent Audit uses an independent AI auditor separate from the agent or person that produced the original work. It recomputes numbers, traces them to source files and fields, and attaches evidence to its findings. The result can be a pass, partial, or fail verdict rather than an unexplained confidence score. This makes the concept useful for teams that need a reviewable quality-control layer around AI-generated or complex spreadsheet deliverables.
Energent Audit is designed for analysts, finance and accounting teams, operations and procurement groups, engineering and CAD teams, research groups, and enterprise customers. It is particularly relevant when a spreadsheet contains high-stakes totals, forecasts, operational metrics, or assertions that need supporting evidence. Teams can use it to check their own work or to audit another AI system’s output. The documented examples include vendor invoices, budget forecasts, revenue diagnostics, bills of quantities, and RTL Excel dashboards. The main benefit is reducing the amount of manual verification required before a deliverable is shared.
Energent states that it supports more than 150 file types. The listed coverage includes CAD, scans, G-code, InDesign files, bills of materials, PDFs, XLSX, DOCX, and other complex documents. The examples provided for this page include CSV files, Excel workbooks, dashboards, PDFs, SQL sources, and Markdown deliverables. Support for multiple source types allows an audit to compare a spreadsheet against the documents or datasets behind it. The exact behavior for a particular file should be confirmed in the product experience because the available checks can depend on the deliverable and its sources.
It starts by treating the original answer as something to verify rather than something to trust automatically. The independent auditor recomputes totals, checks formulas and denominators, and traces important figures back to exact source locations. It can also identify unsupported derived claims, missing source data, incorrect comparison bases, and chart-range errors. In the vendor example, it proved the total spend while failing an incorrect growth percentage and an unsupported software-growth statement. The report then records the calculations and evidence so a reviewer can understand why each result passed or failed.
Yes, auditing another AI system’s work is explicitly included in the Energent Audit use case. The auditor is described as a separate second agent with no stake in the original answer. That separation allows it to check deliverables produced by other AI agents, not only Energent outputs. It can compare the finished result with the original source documents and recompute the underlying figures. This is intended to help teams stop treating themselves as the permanent quality-control layer for every AI-generated analysis.
Specific pricing details are not provided in the supplied information, so this page does not state a price or invent a plan structure. The product is available through the Energent application and a demo can be requested from the company. Teams can begin with a spreadsheet or other deliverable that needs verification and define the audit task they want checked. Repeating work can be turned into reusable workflows so corrections become persistent audit rules. For enterprise workflow questions, the available route is to start in the application or book a demo with Energent.
Run an independent audit, trace the evidence, and focus your review on what is actually flagged.