LUNARI
All case studies
Diversified holdings · multi-entity · illustrative profile

What Lunari can improve for a diversified holding group.

Different operating businesses, different chart structures, different auditors — and one group close that has to tie out cleanly every period.

Profile shaped after: Panafrican Group
lunari.cloud / evidence · group
LUNARI
Evidence vault · FY 2025
Tamper-evident · 1,418 documents
C-101
Journal approval — segregation
18 filesTested
C-104
Vendor onboarding KYC
24 filesTested
C-118
Bank payment release ≥ $50k
9 filesPBC pending
C-201
Period-end roll authorisation
6 filesTested
C-244
Quarterly access review
12 filesIn review

Controls and evidence, one vault across every entity.

The pain today

What this looks like before Lunari.

  • Each subsidiary closes on its own stack; the group consolidation is rebuilt in spreadsheets every period.
  • Intercompany balances drift between entities and only surface in the consolidation pack.
  • Per-entity audits each ask for the same evidence in different shapes, multiplying preparation work.
With Lunari

What changes once it's on one record.

  • Subsidiary closes feed a single group period model — no re-keying, no parallel consolidation file.
  • Intercompany matches happen at the source, not at the group; balances tie before consolidation, not after.
  • Per-entity audit packs render from one evidence vault, formatted to each auditor's request.
Illustrative outcomes

Based on typical improvements for teams of this profile.

Directional · not a customer claim
↓ 70%
Group consolidation effort
↓ 85%
Intercompany variance at consol
1
Evidence vault, all entities

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.