The close still runs on a trial balance exported to Excel, mapped by hand to Schedule III, reconciled to notes that were typed, and pasted into a board deck. FinIFRS takes the trial balance in, validates it against four rules before it touches the database, maps your chart of accounts with Indian financial keyword rules, surfaces only the exceptions, and generates the statements, notes, directors' report and board pack from the one connected source.
Each copy — TB to mapping sheet, mapping sheet to statements, statements to notes, notes to board deck — is a place for a number to drift and a version to go stale.
Hundreds of GL codes mapped to Schedule III lines every year, and re-checked every quarter.
A late adjustment changes the balance sheet but not the footnote that quotes it.
The deck is the last copy of the last copy — and the one the board reads.
One source, dynamically linked — change a ledger balance and every statement, note and board page that quotes it moves.
Debit = credit, assets = liabilities + equity, zero unmapped codes and no wrong-sign balances — or the upload is rejected with the rule that failed.
The mapping engine does the bulk of the work; controllers see the unmapped and the anomalous, not the whole trial balance.
Every figure in every disclosure is linked to its GL source. Adjust a balance and the Schedule III note updates.
After-hours postings, round amounts, reclassifications and fraud analytics run on the ledger as part of the close.
The platform's original close spine — the base every other product line posts into.
AI answers and explains; the mapping, validation and statements are deterministic rules you can read.
Ask about the close — journal-entry test hits, reclassifications, integrity findings — answered from the intelligence engine's stored findings.
The governed FinAI chat for everything else, with prompts masked before they leave your network.
Directors' report and MD&A sections drafted against the composed figures, every number checked against the statements.
Journal-entry test hits explained in words with the lines that triggered them.
Across every FinIFRS product the rule is the same: a deterministic, tested engine computes and stores every figure first. AI reads documents, drafts sentences and answers questions over what is already stored — it never computes, posts or approves an amount.
Rules, mappings and report layouts are versioned data you edit.
Against a legacy EPM and the spreadsheet stack.
| Capability | Legacy EPM | Spreadsheet stack | FinIFRS |
|---|---|---|---|
| Continuous reconciliation | — | — | ✓ Native |
| Lineage-grade audit trail | Partial | — | ✓ Immutable |
| Footnotes linked to GL | Partial | — | ✓ Dynamic |
| Indian keyword mapping to Schedule III | Configurable | Manual | ✓ 70+ native |
| Deployment horizon | 9–18 months | Forever | ✓ Under 60 days |
Read-only connectors for SAP FICO, Oracle Financials, Tally Prime and Zoho Books, or one-click Excel / CSV upload.
Every override, adjustment and sign-off creates an append-only, hash-chained record with identity, timestamp and before / after values.
Ninety minutes with our team: we map your close, identify three points of leverage and leave you with a working brief.