Automating month-end reconciliation so finance closes the books in days.
Ledgerline’s finance team needed almost three weeks to close every month. We automated the reconciliation work that ate most of that time, so the team could focus on the numbers that matter.
Ledgerline
CLIENT
Financial services
INDUSTRY
7 weeks
TIMELINE
Automation, Document AI
SERVICES
The challenge
Every month-end meant matching thousands of bank lines, card transactions and supplier invoices by hand across four entities. Small differences took hours to trace, and the close regularly slipped into the third week.
Leadership was making decisions on numbers that were already a month old, and the team was burning out on overtime.
The approach
We built an automated reconciliation pipeline that matches transactions across bank feeds, the ERP and invoice records, explains every match it makes, and puts only the genuine exceptions in front of the finance team.
— Matching rules learned from past reconciliations, not written from scratch
— Every automatic match is explained and fully auditable
— Exceptions grouped by cause so they can be cleared in batches
Results from this exact service
01
Gather
Bank feeds, card data and invoices are pulled into one place every day.
02
Match
Transactions are matched automatically, with a clear reason recorded for each.
03
Review
Only true exceptions reach the team, grouped and ready to resolve.
close
9 days
Faster month-end close
From nineteen working days down to ten, without extra headcount.
automation
92%
Of transactions matched automatically
The team now reviews exceptions instead of every line.
Have a workflow like this one?
Tell us where your team loses the most hours. We will map the workflow, estimate the payback and show you a working prototype in weeks, not quarters.
