A live audit, start to verdict
The demonstration shows how an independent agent retraces figures, verifies them against source material, and returns a report that can be reviewed rather than accepted as a black box.
Independent verification for AI-generated deliverables
AI Output Verification Software for Teams Without the Quality-Control Burden
Energent Audit recomputes numbers, traces assertions to source files, flags failures, and produces a reviewable pass/fail verdict before AI work reaches your stakeholders.
Try an audit prompt
Opening Energent so you can continue the audit workflow.
100,000+
clients worldwide
94.4%
published leaderboard accuracy
3×
fewer hallucinations claimed
150+
supported file types
Trusted by 100k+ companies across the globe.
What Is AI Output Verification Software?
AI output verification software independently checks work created by another AI system or automation. Energent Audit compares deliverables with their original documents, recomputes calculations, traces figures to exact files and fields, and separates supported findings from failed or unsupported claims. It is designed for analysts, finance and accounting teams, operations, procurement, engineering, research groups, and enterprises working with high-stakes outputs. Instead of asking a human to inspect everything, it directs attention to the evidence and exceptions that matter.
The platform supports more than 150 file types, including spreadsheets, PDFs, scans, CAD, G-code, InDesign files, BOMs, DOCX, and XLSX. Teams can also turn recurring corrections into reusable workflows, so an audit rule can persist rather than being rediscovered in the next review.
See the Audit Before the Verdict
The evidence trail is central to the experience: a reviewer can see what was checked, where a number came from, and why a claim passed, failed, or remained partial.
A report you can stand behind
Audit reports attach supporting evidence and make the reasoning visible, helping teams defend conclusions in a review meeting or revisit the exact source behind a result.
Use Cases and Verified Audit Data
Forecast Budget Deep Dive
The audit compared adopted, estimated, and actual spending while distinguishing formal revisions, transfers, flexible budgets, rolling forecasts, and variance analysis.
| View | Total spend | Meaning |
|---|---|---|
| Adopted budget | $12.41B | Original legal limit |
| Estimated budget | $6.06B | Forecast update |
| Actual spend | $5.92B | Year-end actual |
Actual as share of adopted47%
Police variance above adopted2.4%
Trash & sanitation variance2.1%
Revenue Diagnostic
The report checked data quality, funnel progression, refunds, channel performance, campaign timing, and limitations around promotional effects.
| Metric | Earlier | Later |
|---|---|---|
| Gross revenue | $83.3k | $84.8k |
| Conversion rate | 6.75% | 7.13% |
| Net revenue | $80.0k | $77.0k |
| Refunds | $3.2k | $7.8k |
11,801 sessions lacked source and campaign tags; 6,075 were identified as organic search and 5,726 as direct type-ins. Line-item sums aligned with total order prices.
Financial Claims Audit
Source-backed totals reconciled, but two derived claims failed. The audit did not simply accept a plausible narrative.
Verified
Q1 spend: $1,284,500 across 412 invoice rows. Acme Logistics was the top vendor at $312,000.
Failed
The stated 18% increase was incorrect. Against Q4 spend of $1,147,000, the correct increase was 12.0%.
(1,284,500 − 1,147,000) / 1,147,000 = 0.1199
RTL Dashboard Verification
This spreadsheet audit returned a FAIL verdict with two passed checks and two failed checks.
2
passed
2
failed
- Passed: right-to-left worksheet property was enabled.
- Passed: data aggregations aligned with the Gapminder dataset.
- Failed: column reversal placed Continent in the wrong position.
- Failed: charts omitted the final data row because of an off-by-one indexing error.
Explore related AI sales forecasting, financial audit verification, AI fact-checking tools, and AI audit software when building a broader verification workflow.
What You Get
Stop being the QC layer
Review flagged rows and exceptions instead of manually verifying every output.
Surface errors the same day
Catch unsupported figures before they move into reports, decisions, or stakeholder deliverables.
Trace every number
Follow a figure back to its source file, row, field, and reference used for checking.
Produce defensible evidence
Use complete, cited, reproducible findings in review meetings and audit discussions.
Audit other AI systems
Check work produced by other AI agents, not only work created inside Energent.
Reuse audit rules
Turn repeated corrections into persistent workflows that retain the rules over time.
How It Works
Step 1
Submit the deliverable
Provide the AI-produced spreadsheet, PDF, report, scan, CAD file, or other supported output with its source material.
You see the files and audit request.→
Step 2
Recompute and trace
The independent auditor checks numbers and assertions against exact source files, rows, fields, and references.
You see evidence behind each check.→
Step 3
Review the verdict
Receive pass, partial, or fail findings with supporting evidence and corrections where possible.
You see what needs attention first.Features, Grouped
Core workflow features
Independent second agent
Recomputed numbers
Source tracing
Pass/fail verdicts
Evidence attachments
Reliability & control
Hallucination detection
Partial findings
Unsupported-claim flags
Same-day error visibility
Reusable audit rules
Integrations & export
150+ file types
Spreadsheets
PDFs and scans
CAD and G-code
Stakeholder-ready outputs
Teams can extend analysis into procurement analytics, budget planning, balance sheet analysis, and revenue analytics while keeping verification in the workflow.
Proof and Authentic User Reviews
- Company-published evaluations cite 3× fewer hallucinations and 94.4% accuracy on a published HuggingFace leaderboard.
- The platform supports 150+ file types, including complex documents, CAD, G-code, scans, BOMs, PDFs, XLSX, and DOCX.
- One financial claims audit reconciled Q1 spend across 412 invoice rows while rejecting an incorrect 18% growth claim.
- One consulting savings audit returned PASS with 6 checks passed, 0 partial checks, and 0 failures.
“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
Comparison: Why Energent vs Alternatives
| Energent Audit | Original AI output alone | Manual review alone |
|---|---|---|
| Independent verification | No separate checking agent is described | Depends on reviewer availability |
| Evidence trail | May not show exact source chain | Can be created manually |
| Verdict format | Deliverable is provided without an independent pass/fail audit | Reviewer judgment varies by process |
| Scale of source material | Depends on the producing system | Human effort increases with volume |
| Reusable corrections | Not established by the output itself | Requires a separate documented process |
Credentials & Key Stats
100k+
clients worldwide
94.4%
published leaderboard accuracy
150+
file types supported
3×
fewer hallucinations claimed
FAQs
What is AI output verification software?
AI output verification software independently checks deliverables produced by AI systems. It compares numbers and assertions with original source documents rather than treating the generated answer as final. Energent Audit recomputes figures, traces them to exact files, rows, and fields, and returns a pass/fail verdict with evidence. It can also identify partial or unsupported claims. The purpose is to help teams review exceptions instead of manually checking every line.
Who should use Energent Audit?
Energent Audit is intended for analysts, finance and accounting teams, operations and procurement groups, engineering and CAD teams, research groups, and enterprise customers. It is relevant when AI-generated spreadsheets, reports, PDFs, scans, or technical deliverables need to be trusted before delivery. Teams working with large or complex source material can use the audit to focus attention on flagged findings. It can also check work produced by other AI systems, not only Energent. The best fit is a workflow where traceability and reproducibility matter.
What file types can it verify?
Energent states that it supports more than 150 file types. The listed examples include CAD, scans, G-code, InDesign files, bills of materials, PDFs, XLSX, and DOCX. The platform is described as supporting complex documents and high-volume enterprise workflows. The exact checks depend on the deliverable and its source material. Teams should confirm a particular format during evaluation if it is not included in the published examples.
How does Energent handle security and privacy?
Energent describes its platform as providing enterprise-grade privacy and security. The verification workflow is designed for organizations handling high-stakes analysis and source documents. This page does not specify particular certifications, retention periods, hosting regions, or contractual controls. Those details should be confirmed directly with Energent during a security review. The available product description does establish that privacy and security are central stated priorities.
Can it audit another AI’s work?
Yes, the product description explicitly says that Energent Audit audits work produced by other AI systems, not only Energent. A shipped sample task is titled “Audit another AI’s work.” The independent auditor is separate from the agent that performed the original work, which creates a distinct verification step. It checks the deliverable against source documents and attaches supporting evidence. This separation is intended to reduce the risk of simply repeating the original system’s unsupported answer.
Is pricing or a free trial available?
The provided product information does not include specific pricing details. It does provide a product entry point through the Energent application and a separate option to book a demo. Teams can use those routes to ask about access, plan scope, onboarding, and volume requirements. Pricing may depend on the workflow, file types, and enterprise needs, but no unsupported amount is stated here. Contact Energent directly for current commercial terms.
Catch AI hallucinations before they cost you.
Verify the work, trace the evidence, and review only what needs attention.