Energent Audit independently recomputes financial deliverables, traces every figure to its source, and provides an evidence-backed pass or fail verdict before the work reaches stakeholders.
Trusted by 100k+ companies across the globe.
Energent Audit is an independent AI auditor for financial analysis and other consequential deliverables. A separate audit agent reviews work produced by another AI agent, recomputes the numbers, checks assertions against the original source documents, and identifies discrepancies before the output reaches a stakeholder.
Instead of asking a human to recheck every row, Energent focuses attention on what is flagged and preserves the evidence behind the result. Every figure can be traced to the source file, row, and field used for verification, creating a reviewable chain rather than a black-box answer.
The system audits work created by other AI tools as well as Energent’s own outputs. It supports financial statements, due diligence, budgets, portfolio analysis, cost structures, macroeconomic scenarios, statistical models, spreadsheets, PDFs, dashboards, and large datasets.
For teams building a broader financial analysis workflow, independent verification adds a quality-control layer without requiring every result to be manually reconstructed.
The examples below show how source-grounded verification can surface trends, preserve missing-data boundaries, and make financial outputs easier to review.
The dashboard identified three of four monitored signals in FY2025. Receivables grew 19.1% while revenue grew 6.4%, a 12.6 percentage-point gap, while allowance coverage was 0.00% on $39.8B of receivables.
The report also preserved unavailable operating-cash-flow years instead of interpolating them.
The December 2026 budget snapshot compared $22,490.45 of projected cumulative quota with $21,365.92 of placeholder actual year-to-date spending, producing a portfolio gap of $1,124.53 and a variance of -5.0%.
| Cost center | Projected | Variance |
|---|---|---|
| Medical Care | $7,186.23 | -$359.31 |
| Housing | $4,312.49 | -$215.63 |
| Food | $4,200.76 | -$210.04 |
| Transportation | $3,276.34 | -$163.81 |
Energent can produce Excel workbooks with live formulas and audit-trail tabs, Word reports, PowerPoint presentations, annotated PDFs, filled government tax forms, ZIP packages, HTML dashboards, scripts, and reusable workflows.
Outputs can be forwarded to COOs, lawyers, scientific journals, production systems, and internal review teams.
In the Apple dashboard, FY2025 revenue was $416.2B, gross margin was 46.9%, net income was $112.0B, and operating cash flow was $111.5B. The separate Apple versus Microsoft verification compared liquidity, leverage, efficiency, and profitability ratios.
For teams focused on financial ratio verification, the comparison views make it possible to inspect both the result and the underlying source-grounded calculations.
Recalculate figures instead of accepting an AI-generated result at face value.
Follow each figure to its exact source file, row, and field.
Shift from checking everything to examining the items the auditor identifies.
Allow the system to fix errors where possible before issuing the final result.
Deliver complete, cited, reproducible artifacts for review meetings and stakeholders.
Turn repeated jobs into persistent workflows so corrections become reusable audit rules.
When teams need automated audit trails, the evidence attached to the verdict gives reviewers a practical starting point for investigation.
An AI agent produces the financial analysis or deliverable from the supplied materials.
You see the initial analysis.A separate agent recomputes numbers, traces sources, checks references, and corrects fixable failures.
You see evidence and flagged items.The system attaches supporting evidence and returns a pass or fail result for review.
You see a stakeholder-ready output.For organizations processing recurring financial dashboards, saved workflows can be rerun for monthly expense reports, weekly trade reports, and stock-analysis routines.
“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
“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”
Alyse H., Digital Collection Curator, Fortune 500 Retail & E-commerce
“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
“Energent.ai is a great platform... the interactive outputs add real value to my work.”
Amjad M., Telecommunications Engineer, Fortune 500 Telecommunications
| Verification dimension | Energent Audit | Original AI agent | Human-only review |
|---|---|---|---|
| Independent second check | Separate audit agent | Not described as independent | Human reviewer |
| Number recomputation | Yes | Initial work only | Manual review process |
| Source, row, and field trace | Evidence trail | Not specified | Depends on reviewer process |
| Pass/fail output | Included | Not specified | Depends on review format |
| Recurring audit rules | Reusable workflows | Not specified | Must be maintained manually |
Energent’s distinction is not simply producing another financial answer. It places an independent verification layer between AI-generated work and the stakeholder who needs to rely on it.
clients worldwide
accuracy on a published leaderboard
supported file types
fewer hallucinations claimed
The video presents Energent Audit as an independent agent that retraces figures to their sources, verifies how they were built, and produces a report that can be supported in review.
Energent Audit report screenshot, displayed at full aspect ratio.
For teams managing high-accuracy financial verification, the combination of a verdict, supporting evidence, and reviewable source chain is designed to make escalation more focused.
AI for high-accuracy financial audit and verification uses an independent AI agent to inspect work produced by another AI agent. Energent Audit recomputes numbers, traces figures to source files, rows, and fields, and checks them against relevant references. It can identify and correct fixable errors before issuing a pass or fail verdict. The output includes supporting evidence so a reviewer can follow how a result was built. In this way, the product is a verification layer rather than only an analysis generator.
Yes, the supplied information states that Energent Audit reviews work produced by other AI tools, not only Energent’s own output. A separate audit agent evaluates the deliverable independently from the agent that performed the original work. It recomputes the numbers and checks assertions against source material. This separation is intended to reduce the risk that the same process repeats or accepts its own mistake. The final result includes a pass or fail verdict and an evidence trail.
Energent supports more than 150 file types according to the provided company information. Examples include spreadsheets, PDFs, Word documents, presentations, scanned images, handwriting, CAD drawings, electronics design packages, bills of materials, InDesign files, and G-code. Financial deliverables can include Excel workbooks with live formulas and audit-trail tabs, Word reports, PowerPoint presentations, annotated PDFs, tax forms, ZIP packages, HTML dashboards, scripts, and workflows. The supplied information also describes support for multilingual work, including Portuguese, Russian, Spanish, Arabic, French, Italian, German, and Korean.
The supplied audit examples show that unavailable values can remain unavailable rather than being silently filled. In the due diligence dashboard, operating cash flow was unavailable for FY2014 through FY2016, and the dashboard preserved those gaps instead of interpolating values. Accrued-liability balances unavailable for FY2018 through FY2022 were suppressed rather than plotted as zeros. This approach keeps a visible distinction between a reported zero and a missing observation. That distinction gives reviewers a clearer basis for deciding what requires follow-up.
Yes, the provided information describes saved workflows that can be rerun for monthly expense reports, weekly trade reports, and stock-analysis routines. Repeated jobs can learn audit rules over time, so corrections become persistent workflow rules. The platform is also described as supporting large jobs that continue through context resets and resume where they left off. Marathon sessions may run from 300 to more than 3,000 messages. These capabilities are intended for repeated or high-volume work rather than one-off spreadsheet checks only.
The supplied information does not include a specific price for AI financial audit and verification. Energent provides a pricing page through its website navigation, but this page does not state a plan amount or usage limit. Teams can use the product entry point or book a demo to discuss their workflow. The appropriate evaluation will depend on the files, deliverables, and recurring audit requirements involved. No unsupported price or savings figure is presented here.
Use an independent audit agent to recompute the numbers, expose evidence, and focus human attention on what is flagged.