Intellova
Reconciliation & financial close

Close the books in clicks, not weeks

Bank, payroll, claims, inter-system — Intellova unifies the data and reconciles it automatically, so month-end is a review, not a marathon.

Month-end shouldn't take half the month.

Reconciling across systems by hand is slow, repetitive and exactly where errors hide.

Numbers that don't match

Bank, accounting, payroll and operational systems each tell a slightly different story.

Manual, every period

The same exports and lookups every month, done by hand.

Errors hide in the gaps

Mismatches go unnoticed until they become a problem.

Reconciliation, automated and continuous.

Intellova unifies your accounting, banking, payroll and operational data into one database on AWS, then matches transactions across them automatically — flagging exceptions for review instead of making you find them. Rostered vs paid vs billed, bank vs ledger, claimed vs received — reconciled continuously and reported in Amazon Quick Suite, so close is faster and more accurate.

XeroMYOBEmployment HeroAmazon Quick SuiteAWS Lambda

Outcomes

What you can finally do

Cross-system matching

Match transactions across bank, ledger, payroll and ops automatically.

Faster close

Turn a multi-week close into a quick review of exceptions.

Exceptions surfaced

Mismatches flagged for you — no more hunting.

Rostered vs paid vs billed

Reconcile labour across systems every period.

Audit-ready trail

Every match traceable to its source records.

Live financial view

See cash and position any day, not just at close.

Trusted by Australian care & data teams

InChoice logo

InChoice

NDIS plan management

Intellova pulled our scattered plan, claims and finance data into one place — we can finally see utilisation and reconcile claims without the spreadsheet marathon.
  • One source of truth across care & finance
  • Live budget, claims & revenue dashboards
  • Every figure traceable to its source
Read the InChoice case study

See your whole business in one place

Book a free data audit and we'll map your systems, show you what a unified, AI-ready database would surface, and where it pays for itself first.

Frequently asked

Bank vs ledger, rostered vs paid vs billed hours, claimed vs received, and any two systems holding related figures.