Fairy for Finance.
AI modeled it. Fairy makes sure the numbers are right.
Financial reports, models, and projections reviewed by a senior analyst before they go to stakeholders, investors, or regulators.
The problem
Numbers that add up aren’t always right.
AI can generate a financial model that is arithmetically correct and analytically wrong. The dangerous errors aren’t formula errors — they’re assumption errors, definition errors, and structural errors that look fine until someone with domain expertise looks closely.
Fairy puts a senior analyst between your AI model and the people who will make decisions based on it. Numbers that look right. Numbers you can defend.
What we verify
- Model logic and formula correctness
- Assumption validity (growth, churn, CAC, LTV, margins)
- Data source integrity and reconciliation
- Statistical validity of projections
- Scenario and sensitivity analysis completeness
- Revenue recognition and accounting treatment
- Intercompany eliminations and consolidation
- Regulatory disclosure requirements
- Investor-ready presentation accuracy
- Consistency across related documents
What’s at risk
Financial errors compound.
Investor exposure
Projections built on flawed assumptions mislead investors — creating legal liability and destroying trust at the worst possible time.
Misreported figures
A consolidation error or revenue recognition mistake surfaces in audit — triggering restatements, board scrutiny, and regulatory exposure.
Flawed model drives bad decisions
A budget model with incorrect unit economics leads to misallocated capital that compounds over multiple quarters.
Regulatory filing error
An error in a regulatory financial submission triggers inquiries, fines, and reputational damage with authorities.
FAQ
Common questions.
What does Fairy verify in AI-generated financial models?
Fairy verifies model logic and formula correctness, underlying assumptions (growth rates, churn, CAC, LTV), data source integrity, statistical validity of projections, scenario analysis completeness, and whether the model's conclusions are supported by the inputs. For reports, Fairy checks figures against source data and flags inconsistencies.
Why isn't spreadsheet formula auditing enough?
Formula auditing catches calculation errors, but not assumption errors — which are usually far more consequential. An AI model can be arithmetically perfect but built on growth assumptions that don't hold, a customer cohort definition that doesn't match reality, or a cost structure that ignores key variables. A senior analyst catches these; automated formula checks don't.
What types of financial work does Fairy review?
Fairy reviews financial models (three-statement, DCF, LBO, SaaS metrics), investor reports and board decks, management accounts, budget models, M&A analysis, and regulatory financial filings. We match each submission to a senior analyst with relevant industry experience.
Can Fairy help before an investor pitch or board meeting?
Yes. Pre-pitch and pre-board financial verification is one of the highest-value use cases. An investor or board member who finds an error in your model damages credibility that is difficult to recover. Fairy ensures your numbers are defensible before you present them.
How quickly can Fairy verify a financial model?
Standard financial model review turnaround is 4–24 hours. Complex multi-tab models or regulatory filings may require up to 48 hours. Expedited turnaround is available for time-sensitive situations.