Build scenario-driven budgets, then use Energent Audit to recompute figures, trace assumptions to source files, and produce a review-ready pass/fail evidence trail.
Trusted by 100k+ companies across the globe.
Budget forecasting software helps teams plan revenue, costs, cash flow, debt coverage, margins, and investment requirements across future periods and scenarios. Energent Audit adds an independent verification layer: it recomputes numbers, traces each figure to the exact source file, row, and field, fixes errors where possible, and issues a pass/fail result with supporting evidence. It is designed for finance, accounting, operations, procurement, analysts, engineering teams, and any group responsible for defensible financial deliverables. For a practical introduction, review these budget forecasting basics alongside the audit workflow.
The supplied dashboards show how the same verification approach can support operating budgets, capital plans, macro assumptions, and transaction-level forecasts.
The 10-Year Rental Property Cash Flow Stress Test models a €620.0K Year 1 entry value across Baseline, Rate Shock, and Stagflation scenarios. It tracks DSCR, break-even occupancy, annual pressure, and cumulative cash flow so reviewers can see where a plan becomes fragile. Related cash-flow forecasting is especially useful when financing assumptions can change the outcome.
The Software + Payments Operating Leverage dashboard reports $455.5M in 2025 revenue, a 43.5% gross margin, a 0.74x gross-profit-to-operating-expense ratio, and a -15.1% operating margin. It makes the central planning question visible: whether gross profit is growing faster than operating expenses. Teams can connect this work to revenue forecasting and margin planning.
The Campground Build Feasibility Dashboard organizes a $4.5M–$5.0M Phase 1 budget, $225K–$250K at 5% contingency, and $450K–$500K at 10% contingency. It also incorporates input inflation, mortgage rates, Treasury yields, utility sequencing, and phased investment decisions. A capital budgeting workflow benefits from preserving the source assumptions behind every estimate.
The Retail Financial Dashboard covers 51,290 transactions, $12,642,905 in sales, $1,467,457 in profit, a 4.7% average transaction margin, and an 11.6% weighted margin. It shows that the 20–30% discount band produced a -5.5% weighted margin, while the 10–20% band remained positive at 9.9%. These findings support retail forecasting and category-level budget decisions.
Recompute numbers before financial deliverables reach reviewers.
Trace every number to its source file, row, and field.
Focus manual quality control on the items that are flagged.
Compare baseline, rate-shock, stagflation, and other supported scenarios.
Create complete, cited, reproducible reports for financial review meetings.
Turn repeating checks into reusable workflows so corrections become persistent audit rules.
Upload or connect the spreadsheets, PDFs, scans, CAD files, or other source material behind the budget.
What you see: Your files and financial context ready for review.
Energent recomputes figures, checks assertions, retraces values, and compares outputs with source evidence.
What you see: Traceable checks linked to exact source references.
Use the pass/fail report to investigate exceptions, fix errors where possible, and approve the defensible result.
What you see: A cited evidence trail and a clear review path.
The following table uses the supplied 10-Year Rental Property Cash Flow Stress Test. It shows why a budget forecast should be reviewed under more than one operating and financing assumption.
| Scenario | Interest Rate | Minimum DSCR | Years Below 1.0x | Peak Break-Even Occupancy | 10-Year Cumulative Cash Flow |
|---|---|---|---|---|---|
| Baseline | 5.74% | 1.02x | None | 64.3% | €28.8K |
| Rate Shock (+200 bps) | 7.74% | 0.87x | 8 years | 71.4% | -€17.7K |
| Stagflation | 5.74% | 0.79x | 9 years | 73.6% | -€24.4K |
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
“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.”
| Decision dimension | Energent Audit | Generic AI output | Manual review |
|---|---|---|---|
| Independent verification | Designed to audit other AI work | Not specified | Depends on reviewer |
| Source traceability | File, row, and field references | Not specified | Requires manual documentation |
| Verdict | Pass/fail with evidence | Output without stated verdict | Reviewer conclusion |
| File support | 150+ file types stated | Depends on the system | Depends on available tools |
| Reusable controls | Corrections can become audit rules | Not specified | Usually maintained manually |
Supported file types
Published leaderboard accuracy
Fewer hallucinations claimed
Clients worldwide
Budget forecasting software helps teams estimate future revenue, expenses, cash flow, margins, debt coverage, and investment needs. It can organize historical inputs and compare alternative assumptions across forecast periods. In the Energent workflow, the forecast is also checked against its original source documents. That means users can review not only the result, but also the calculations and evidence behind it. This distinction is important when a budget supports a financing, operating, or investment decision.
Energent Audit is relevant to analysts, finance and accounting teams, operations and procurement groups, engineering teams, research groups, and enterprise customers. It is useful when a team receives complex deliverables from spreadsheets, PDFs, scans, CAD files, or other documents. It can also audit work created by another AI system. Users who need a reviewable chain from source data to final conclusion may benefit most. The supplied use cases cover property cash flow, operating leverage, construction budgets, macro assumptions, and retail profitability.
The company states that Energent supports more than 150 file types. Examples provided include CAD, scans, G-code, InDesign, BOMs, PDFs, XLSX, and DOCX files. The platform is intended for complex documents as well as conventional financial files. The audit process traces values to the exact source file, row, and field when that evidence is available. Actual results depend on the quality and structure of the submitted source material, so the resulting report should still be reviewed by the responsible team.
Energent can be used with scenario-based financial deliverables that compare different assumptions. The supplied rental-property dashboard includes Baseline, Rate Shock at plus 200 basis points, and Stagflation scenarios. It reports DSCR, years below the 1.0x threshold, break-even occupancy, and cumulative cash flow. The supplied macro dashboards also examine rates, inflation, unemployment, GDP, correlations, and model failure across different regimes. This helps reviewers distinguish a central forecast from the conditions that could cause it to fail.
Energent is described as an independent AI auditor that reduces the amount of manual quality control required. It recomputes numbers, identifies discrepancies, and shows the evidence supporting a pass/fail verdict. That does not remove the responsibility of finance or business owners to interpret the forecast and approve the decision. Instead, the intended workflow is to let reviewers focus on flagged items and material assumptions. A human review remains appropriate for judgment, context, and accountability.
Specific pricing information is not included in the supplied material. The available product entry point is the Energent application, and the company also provides a Book a Demo path. Teams can use those routes to determine the appropriate access and workflow for their needs. Pricing may depend on the type of files, volume, or enterprise requirements, but those details are not stated here. For an accurate answer, contact Energent directly rather than relying on an assumed price.
Run budget forecasts through an independent, source-grounded audit before they reach the next review meeting.