ALFRD Checks
Find what's hiding in your client's financials.
Finance professionals upload client exports — P&L, balance sheet, GL, bank data. ALFRD runs 10 automated checks and produces a findings report showing where the numbers are unreliable, inconsistent, or worth investigating.
Upload client exports.
CSV and XLSX files from QuickBooks, Xero, NetSuite, Sage — P&L, balance sheet, GL, and bank statements. No API integration, no credentials, no onboarding.
Run 10 automated checks.
ALFRD analyses cash integrity, revenue patterns, margin trends, cost structures, working capital, balance sheet accuracy, owner behaviour, and industry benchmarks. Each finding is severity-rated.
Get a findings report.
Every issue includes the check that flagged it, the months affected, and the specific values behind it. Use the report to qualify cleanup work, strengthen proposals, or start advising immediately.
What ALFRD Checks looks for
Does cash on the books match cash in the bank? Where doesn't it?
Is the business making profit but not generating cash, or the other way around?
Are customers paying slower? Are suppliers getting stretched?
Are owners taking out more than the business earns?
Are costs categorised correctly, or is spend hiding in vague accounts?
Is revenue consistent, or are there spikes, reversals, and concentration risks?
Are margins holding, compressing, or swinging unpredictably?
Are operating costs growing faster than revenue?
Does the balance sheet actually balance? Do earnings flow through correctly?
Are margins where you'd expect them for the industry?
What you get back
A structured findings report built around what matters most — not generic warnings, but specific issues tied to real numbers in the data.
- Check identification — Every finding names the exact check that flagged it so you know why it was raised.
- Severity rating — Issues are graded by impact so you can prioritise what to investigate first.
- Months affected — Pinpoints the time periods where the anomaly appears, not just a vague flag.
- Numbers behind it — Shows the actual values, gaps, or mismatches that triggered the finding.
- Overall risk band — Findings roll up into a single rating — Low, Moderate, High, or Critical — giving you one read on data quality before you act.
Where ALFRD is going
We started with Checks because nothing else works if you don't know what's wrong with the data first.
Run ALFRD Checks on your next client's data.
Upload an export. See what the checks find.
No credit card. No onboarding. Just the findings.