Step by step — what happens to your data
The technology behind KavyFin
Data Integrity
SHA-256 fingerprinting
Every transaction receives a cryptographic hash. Exact duplicates are blocked. Near-duplicates are flagged for review.
Double-entry enforcement
Our Ai Engine trigger validates that debits = credits on every journal entry. An unbalanced entry cannot exist in the database.
Single source of truth
All reports read directly from journal_lines. No cached numbers. No stale data. Every figure is computed fresh on demand.
AI Intelligence
Universal normalisation
KavyFin Ai Engine handles any column naming convention, any date format, any language. A document from Japan works as well as one from the UAE.
Confidence scoring
Every AI mapping receives a confidence score (0-1). Low-confidence transactions are flagged for your review before they affect your reports.
Transaction nature detection
18 transaction natures including sale_cash, asset_purchase, payroll, loan_receipt — each triggers the correct double-entry pattern automatically.
Reporting Engine
Health score algorithm
6-component weighted score: Profit Margin (25%), Expense Ratio (20%), Revenue Growth (20%), Cash Coverage (20%), Debt Ratio (15%), Data Confidence (10%).
PACE action framework
Every recommendation follows: Positive observation → Accurate data point → Consequence of inaction → Exact action with owner, deadline, and expected outcome.
Fallback report engine
If Claude's response is malformed, a deterministic fallback report is built from the raw financial data — you always get a complete report.
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