Close faster. Report instantly. Keep the audit trail.
Automate reconciliation, variance analysis, and reporting with AI that's grounded in your ledger and warehouse — accurate, fully auditable, and gated by human approval on anything that touches the books.
Finance can't tolerate 'mostly right'.
In finance, a confident wrong number is worse than no number. That's why generic AI tools fail here — and why finance automation has to be engineered differently.
We treat AI as an accelerator wrapped in deterministic checks: it drafts the reconciliation, explains the variance, and assembles the report, but the numbers come from your systems and every figure is traceable to source. Nothing posts without a human approving it. You get speed without giving up control or auditability.
What we automate.
Reconciliation
Match transactions across accounts, flag exceptions, and draft the journal entries for review.
Management reporting
Board decks and monthly reports assembled from your warehouse with AI-written commentary.
Variance analysis
Actual-vs-budget explained in plain language, with drill-downs to the driver.
Invoice + payment ops
Extraction, coding, and matching for AP/AR with approval workflows.
Ad-hoc finance Q&A
Ask questions of your financials in natural language and get sourced answers.
Anomaly detection
Flag unusual transactions and trends before they become problems.
How we keep it trustworthy.
Numbers from systems
Figures come from your ERP/warehouse — the AI explains and assembles, it doesn't invent.
Deterministic checks
Totals reconcile, balances tie out, and rules validate before anything is shown.
Full lineage
Every number traces to its source transaction for audit.
Approval gates
Nothing posts to the ledger without explicit human sign-off.
Access control
Role-based permissions and a complete activity log.
Ways to engage.
- One workflow (e.g. reconciliation)
- ERP/warehouse integration
- Audit trail + approvals
- Multiple workflows
- Reporting + variance analysis
- Anomaly detection + controls
- 30-day support
AI accelerates. Deterministic checks decide.
The numbers come from your systems; the AI matches and drafts, and nothing posts without a human and a balanced entry.
matches = reconcile(bank_txns, ledger) # rules + fuzzy matchexceptions = [m for m in matches if not m.tied_out]entry = draft_journal(matches) # figures from systemsassert entry.debits == entry.credits # deterministic checkpost = require_approval(entry, role="controller") # nothing posts aloneEvery figure traces back to a source transaction, so the speed comes with a full audit trail — not a black box.
Why finance teams can actually rely on it.
A confident wrong number is worse than no number, so we never let the model invent figures — it explains and assembles what your ledger already holds.
Approval gates, role-based access, and a complete activity log mean you keep control and auditability while the grind disappears.
Automate finance opsCommon questions.
Can we trust AI with our financials?
Is it auditable?
Does it integrate with NetSuite/QuickBooks?
Will it replace our finance team?
What's the longest part of your close?
Tell us your stack and your most painful finance process. We'll scope an automation that's fast and auditable.