
Consolidated close across 14 campuses: from 12 days to 5 — payback in 9 months.
An education group of 3,000+ staff brought finance, HR, approvals and documents for 14 campuses onto one platform — leadership numbers refresh daily instead of at month-end.
Figures supplied by the customers themselves and published with their consent, measured within the scope and period stated on each metric. Results vary with company size, industry and how standardized the starting data was.
Edufit is a K-12 education group with 14 campuses across 3 provinces and more than 3,000 teachers and staff. The group opens new campuses every year — and every new campus used to add one more set of books to consolidate.
At kick-off, each campus was still running accounting software of its own — three different systems plus hundreds of spreadsheets; consolidation was assembled by hand over email at month-end, and approvals ran on paper and chat. Leadership saw the full picture when the next month was already half over.
In about 5 months the group brought 14 campuses onto SaaS: the ledgers came together on one shared chart of accounts with automatic intercompany entries, 40+ approval workflows moved to E-office, tuition reconciliation was wired straight to the payment gateway, and leadership got one consolidated BI dashboard.
Before and after — with timeframe and method.
| Metric | Before | After | Timeframe & method |
|---|---|---|---|
| Consolidated monthly close | 12 days | 5 days | After 6 months live · measured across consecutive close cycles |
| Average approval turnaround | 3.5 days/request | 2.1 days/request | 40+ workflows on E-office · system logs |
| Tuition mismatches handled manually | ~180 transactions/mo | < 20 transactions/mo | Automatic reconciliation against the tuition gateway |
| Multi-campus executive reporting | Month-end (T+12) | Daily (T+1) | Consolidated BI dashboard, group-wide |
Figures supplied by the customers themselves and published with their consent, measured within the scope and period stated on each metric. Results vary with company size, industry and how standardized the starting data was.
From discovery to go-live.
Two years of data from 3 accounting systems had to be re-mapped line by line to the shared chart of accounts — more work than estimated. The team changed plan: go-live in waves instead of all at once (4 large campuses first, then 10 in 2 waves). The overall ~5-month timeline held, and every later wave went live faster than the one before.
“Board meetings used to wait a week for accounting to assemble the numbers. Now all 14 campuses sit on one screen, refreshed daily — we decide in the meeting, not after it.”


