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Finovra AI

Accounting automation

Accounting automation that keeps a person in control

Automating accounting is only useful if the results can be trusted. Finovra automates the mechanical checks inside the ledger today and is building workflow automation for bills, bank activity and the close, with every automated step leaving evidence and every posting decision staying with a person.

What to automate, and what to keep human

A rule of thumb we design around. It is a starting point for your own controls, not accounting advice.

Tasks suited to automation compared with decisions that should stay with a person
TaskGood fit for automationKeep with a person
ChecksBalance, period, currency and duplicate checks on every entryDeciding what to do about an exception
Data entryExtracting bill and statement details, suggesting accountsConfirming unusual or high-value items
MatchingProposing matches between bank lines and open itemsAccepting low-confidence matches
Recurring workDrafting accruals and reclasses from historyApproving and posting them
Period controlReminding owners of open tasksLocking and reopening periods

Automated in the ledger today

Core engine built
  • Balance checks

    Every entry is checked for balance by the application and again by the database at commit, with no manual step.

  • Journal numbering

    The database assigns gap-free journal numbers per entity, even when entries are posted at the same moment.

  • Duplicate protection

    Idempotency keys turn a repeated submission into the original entry instead of a second posting.

  • Period enforcement

    Entries dated in a locked period are rejected automatically.

  • Review routing

    Drafts, including every entry from an AI agent, go to the approval queue automatically.

  • Audit capture

    Posting, approval, rejection, reversal and period changes are recorded without anyone having to remember.

Workflow automation in development

In development
  • Bill capture

    Read vendor, dates, amounts and tax from bill documents and propose the coding.

  • Bank import rules

    Import CSV or OFX statements without duplicates and apply rules to recurring transactions.

  • Match proposals

    Suggest matches between bank activity and invoices or bills, with the reason for each.

  • Close tasks

    Generate each period's checklist and track evidence and owners.

How an automated proposal reaches the books

  1. Step 1

    Proposed

    A rule, import or AI agent prepares a draft entry with its source attached.

  2. Step 2

    Checked

    The ledger applies the same checks as for any person's entry.

  3. Step 3

    Reviewed

    A person with approval rights approves it, or rejects it with a note.

  4. Step 4

    Posted and recorded

    The approved entry posts, gets its number and joins the audit trail.

Talk through your manual work

Tell us which steps take the most time and we'll show where Finovra fits today and what is coming.

Last reviewed against the product on .

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