LUNARI
All case studies
Payments · multi-region · illustrative profile

What Lunari can improve for a global payments network.

When the close runs across dozens of entities and currencies, the bottleneck is not the journals — it's tying every balance back to evidence the auditor will accept.

Profile shaped after: Visa
lunari.cloud / cash · multi-entity
LUNARI
Group cash · USD eq
$ 16.12M+3.4%
30-day net change
+$ 1.84Mvs prior
Days runway
31.4+2.1 vs Mar
Cash position · Live bank feed
All entities · 24 Apr 09:14 UTC
T+0
Entity7-dayΔBalance
US OpCo
USD
+4.2%
8,422,118 USD
EU Holdings
EUR
−1.8%
4,118,402 EUR
UK Trading
GBP
+6.1%
2,210,884 GBP
APAC Pte
SGD
+0.2%
990,118 SGD
Group total
+3.4%
16,118,402 USD eq

Group cash across entities and currencies, on one record.

The pain today

What this looks like before Lunari.

  • Region controllers reconcile in parallel spreadsheets, then re-key results into the consolidation pack.
  • FX revaluation and intercompany elimination evidence lives in email threads, not on the journal.
  • Audit PBC for a quarterly close takes weeks to assemble because supporting files are scattered across drives.
With Lunari

What changes once it's on one record.

  • One period model across all entities — every reconciliation, journal, and FX revaluation runs on the same record.
  • Intercompany matches auto-tie with chain-of-custody; eliminations carry their own evidence to consolidation.
  • Auditors get a viewer over the whole close — PBC items assemble themselves as the period progresses.
Illustrative outcomes

Based on typical improvements for teams of this profile.

Directional · not a customer claim
↓ 65%
Close cycle time, multi-region
100%
PBC items auto-assembled
↓ 80%
Intercompany exceptions

Company names shown are illustrative of the industries and operational profiles Lunari is built for, and do not imply a customer relationship or endorsement. Outcomes are based on typical improvements observed across finance teams of similar profile and should be treated as directional.

Ready when you are

Run this on your numbers.

Tell us the shape of your close. We'll walk a live period on data that looks like yours.