Azile - SigmaCore FinVerify

Every Number Checked. Every Calculation Verified. Every Document You Can Stand Behind.

A financial document with a calculation error is not just embarrassing - it is a liability. Whether it is an investor deck with a margin that does not reconcile, a board report with a subtotal that does not match its line items, or a credit memo built on a formula nobody checked, the consequences of getting the numbers wrong can be severe and lasting.
Azile FinVerify reads your financial document, finds every computed number, verifies each one independently, and tells you exactly what does not add up - before anyone up the chain does.
Built for finance professionals, analysts, and anyone who needs to be certain the numbers are right.

Elena Marquez has been a CFO long enough to know that nothing destroys credibility faster than a wrong number in a board deck. She has watched other executives get blindsided by a margin that doesn’t reconcile or a growth rate that doesn’t match the underlying figures, and she knows how quickly a strategic discussion can collapse into a forensic math exercise. So when her team finishes a 58page Q2 board package—packed with operating metrics, divisional P&Ls, headcount schedules, and a refreshed threeyear forecast—she feels that familiar tension. The team moved fast, the CEO wants it tonight, and she knows the review they managed was more hope than verification.

This time, instead of skimming and praying, she uploads the entire deck into Azile – SigmaCore FinVerify. In minutes, Azile reads every page, maps every computed number, and independently recalculates each one. The report surfaces issues no human reviewer would have caught under time pressure: a DSO calculation off by 1.7 days because receivables weren’t updated, a gross margin percentage that drifts by 0.4% from its line items, and a yearoveryear growth rate copied from an earlier draft that no longer matches the updated numbers. None of these errors were obvious, but all of them would have been noticed in the boardroom. Azile not only flags the discrepancies—it shows the exact inputs, the correct values, and the magnitude of each difference, giving Elena everything she needs to fix the issues instantly. When she sends the final deck to the CEO, she includes the FinVerify certificate documenting that every computed number was independently checked.

The next morning, the board meeting is smooth and focused; no recalculations, no awkward pauses, no credibilitydraining surprises. The CEO even remarks that it’s the cleanest deck they’ve had in years. Elena knows exactly why. Azile didn’t just catch errors—it protected her reputation, her team, and the integrity of every decision made in that room.

Jordan Reyes, a first time founder building a workflow automation startup, has spent months refining his pitch deck. He’s confident in the product, the market, and the story—but the financials have always made him nervous. He built them himself in a spreadsheet, updated them dozens of times, and copied the outputs into the deck. Every time he tweaks one assumption, he worries something else breaks. After a painful meeting where an investor caught a margin percentage that didn’t match the revenue and cost lines, Jordan realizes he can’t afford another credibility hit. With a major VC partner meeting approaching, he uploads his entire deck into Azile – SigmaCore FinVerify.

In minutes, Azile analyzes every page and independently recalculates every computed figure. It finds a year over year growth rate that no longer matches the updated revenue numbers, a CAC payback calculation that’s off by half a month, and a subtotal in the operating expenses table that drifted after a last minute edit. Jordan fixes each issue with Azile’s clear explanations and reruns the verification until the certificate shows every number is correct. When he walks into the VC meeting, he feels a confidence he’s never had before—not because the deck looks good, but because he knows the numbers are bulletproof. The partner asks probing questions, and every answer aligns perfectly with the verified figures. The meeting ends with a request for diligence materials and a comment Jordan has never heard before: “Your financials are unusually clean.” For the first time, the numbers in his deck aren’t a liability—they’re an asset. Azile didn’t just fix errors; it gave him the credibility to be taken seriously.

Marcus Ellison has spent twenty two years in commercial lending, long enough to know that most credit memos look clean until the numbers are actually checked. As a senior credit officer at NorthBridge Community Bank, he reviews dozens of loan packages a week—construction loans, SBA 7(a) applications, working capital lines—and he has seen how a single miscalculated DSCR or misstated debt schedule can slip through and expose the bank to regulatory scrutiny. When a long time relationship manager submits a $1.8 million term loan request for a regional logistics company, Marcus senses the usual rush: the memo is polished, the narrative is tight, and the financials look “about right.” But experience has taught him that “about right” is where risk hides.

Before sending the memo to committee, he runs it through Azile – SigmaCore FinVerify. Within minutes, Azile flags a DSCR calculation that’s off by 0.23 because the preparer updated EBITDA but forgot to adjust the interest expense after a refinancing. It also catches a misaligned amortization schedule that understates principal payments in year two. None of these errors were visible in the memo itself—they were buried in tables that looked perfectly formatted. Azile not only identifies the discrepancies but shows Marcus the exact inputs and the corrected values, giving him the clarity he needs to push back before the memo advances. When the revised package goes to committee, it is airtight. Marcus knows he didn’t just avoid a bad loan; he protected the bank, the borrower, and his own reputation for being the person who never lets a wrong number slip through.

"As an audit senior manager, I’ve spent more hours than I care to admit tracing subtotals and recomputing roll forwards in management prepared schedules. It’s tedious, error prone work, and even with a strong team, something always slips. This year, I ran a client’s revenue schedules and inventory roll forwards through Azile FinVerify, and it immediately surfaced a $42,000 mismatch in the COGS roll forward that would have become an audit finding. It also caught a revenue allocation percentage that no longer matched the updated contract values. These weren’t obvious mistakes—they were buried in clean looking tables that any human reviewer could have missed. Azile gave me a precise, defensible explanation for every discrepancy, and it documented the entire verification process automatically. My team spent their time on real audit work instead of arithmetic archaeology. For the first time, I walked into partner review with schedules I could stand behind without hesitation. Azile didn’t just save time; it elevated the quality of our entire engagement."
— Priya Nandakumar, Senior Audit Manager, Grant & Lowell LLP

Nobody is systematically checking the math.

Every organisation produces financial documents. Business plans. Investor decks. Board reports. Credit memos. Financial analyses. Loan applications. In virtually every case, the process for verifying the calculations inside those documents is the same: someone reads it and hopes they catch anything obvious. Sometimes a second person reviews it. Sometimes a formula is traced back to a spreadsheet. But there is no systematic, document-wide check that confirms every computed number is correct. There is no audit trail proving that check happened. And errors slip through - constantly.

Spreadsheet errors are the silent epidemic of financial reporting.

Nearly ninety percent of financial spreadsheets contain at least one error, according to research by the European Spreadsheet Risks Interest Group. Half of all spreadsheets used by large organisations contain material defects. These errors do not stay in the spreadsheet. They get copied into presentations, pasted into board reports, summarised in investor decks, and cited in credit memos. By the time the number appears in a document someone is reading to make a decision, the formula that generated it is invisible - and the error is completely undetectable without going back to the source.

AI-generated financial documents look right but often are not.

Financial documents are increasingly being drafted with the help of AI tools. The prose is professional. The structure is clear. And the numbers are frequently wrong in ways that are difficult to spot without careful calculation. Subtotals that do not match their line items. Margins that are inconsistent with the revenue and cost figures in the same document. Year-over-year growth rates that do not correspond to the numbers being compared. An AI tool writing a financial narrative has no mechanism to verify that the figures it is presenting are arithmetically consistent. Azile FinVerify does.

Manual review is slow, inconsistent, and undocumented.

Checking the calculations in a 40-page investor deck or a 60-page board report manually is a significant undertaking. It requires a trained reviewer, concentrated attention, and enough time to trace each computed figure back to its inputs. In practice it rarely happens completely. Reviewers check the numbers that look suspicious, not every number. They miss errors that are internally consistent but wrong. And when the review is done, there is no record of what was checked, what was confirmed, and what was not examined. If a number is later questioned, there is no documented evidence that it was verified.

The consequences of a wrong number in a document are serious.

An investor who discovers a calculation error in a pitch deck after committing capital has cause to question every other number in the deal. A credit committee that approves a loan based on a debt service coverage ratio that was calculated incorrectly faces regulatory and financial exposure. A board that makes a strategic decision based on a report containing an arithmetic error may bear fiduciary liability for that decision. A company that files financial statements containing mathematical inconsistencies invites SEC scrutiny, audit findings, and restatement risk. The cost of finding a calculation error before a document is shared is negligible. The cost of finding it after is not.

Azile FinVerify was built for a specific and increasingly urgent problem: financial documents contain computed numbers, those numbers are frequently wrong, and there is currently no systematic way to check all of them before the document goes out. Azile FinVerify reads your document, identifies every number that appears to have been computed, verifies each one independently using a deterministic calculation engine, and flags every discrepancy with a clear explanation of what does not add up and why.

It Reads Your Document - All of It

Upload a business plan, investor deck, board report, credit memo, or financial analysis in any standard format and Azile FinVerify reads the entire document - not a summary, not selected pages, not the tables you manually highlight. Every page. Every table. Every figure. It identifies every number that appears to have been derived from other numbers and builds a complete map of the computational relationships inside the document before it checks a single one.

Every Computed Number Verified Independently

Azile FinVerify does not rely on the document to check itself. It takes the inputs and recalculates every computed figure from scratch using its own deterministic computation engine - the same engine that powers Eliza's financial modeling. If a subtotal does not match its line items, the discrepancy is flagged. If a margin percentage is inconsistent with the revenue and cost figures on the same page, it is flagged. If a year-over-year growth rate does not correspond to the numbers it purports to represent, it is flagged. Nothing is assumed to be correct simply because it appears in the document.

Flags Every Discrepancy With a Clear Explanation

When Azile FinVerify finds a number that does not add up, it does not just mark it red. It tells you exactly what the document shows, what the correct figure should be based on the inputs in the same document, and the magnitude of the difference. You see exactly what is wrong, where it is, and how wrong it is - so you can fix it, explain it, or investigate it before anyone else sees the document.

Works on the Documents You Actually Produce

Azile FinVerify is not built for a specific proprietary format or a particular software platform. It works on the documents finance professionals actually produce and share - business plans, investor decks, board reporting packages, credit memos, loan applications, financial analyses, and management accounts. If the document contains numbers that were computed, Azile FinVerify can verify them.

Built on Deterministic Computation - Not AI Estimation

The irony of using an AI tool to verify AI-generated financial documents is that you are asking a probabilistic system to check a probabilistic output. Azile FinVerify does not work that way. Every verification is performed by a deterministic computation engine that applies exact arithmetic - the same inputs always produce the same output, every calculation is reproducible, and the results do not change between runs. This is the only reliable way to verify numbers. Everything else is an educated guess.

For CFOs and Finance Teams

Every board pack, every management report, every investor communication that leaves your team carries your credibility. Azile FinVerify gives you a systematic check on every document before it goes out - not a manual review that might catch some things, but a complete computational verification that catches everything. And the certificate proves you checked.

For Investment Analysts and Venture Professionals

You review financial documents under time pressure with no guarantee that what you are reading has been properly verified by the team that produced it. Azile FinVerify lets you run an independent check on any financial document in minutes - confirming that the numbers you are relying on to make an investment decision are arithmetically consistent before you commit.

For Lenders and Credit Analysts

A credit memo built on a miscalculated DSCR or an incorrectly stated debt schedule is a risk no credit committee should accept. Azile FinVerify verifies the computations in credit memos, financial projections, and loan application packages - confirming that the figures supporting a lending decision have been independently checked before the decision is made.

For Auditors and Assurance Professionals

Independent computational verification of management-prepared financial documents is a routine audit requirement. Azile FinVerify performs that verification systematically and completely, producing a documented record of what was checked and what was found - reducing the manual effort of tracing calculations while improving coverage and consistency.

For Anyone Sharing a Financial Document

If a document you are about to share contains numbers someone else will rely on to make a decision, those numbers should be right. Azile FinVerify makes that check fast, complete, and documented.

What Azile FinVerify ProducesWhat It Prevents
Complete map of every computed number in the documentErrors hidden in tables and summaries nobody traced
Independent verification of every calculationSpreadsheet formula errors propagating into shared documents
Clear flagging of every discrepancy with explanationWrong numbers reaching investors, boards, or credit committees
Magnitude assessment of each error foundTreating a rounding difference the same as a material mistake

The Numbers in Your Document Either Add Up or They Do Not.


Azile FinVerify tells you which - before you share the document, before someone else finds the error, and before the consequences of a wrong number become your problem to explain.

Every Number Checked. Every Calculation Verified. Every Document You Can Stand Behind.