Month-End Close Shouldn't Take
12 Days. Ours Take 4.
Reconciliation, close cycles, audit prep — rule-based work that people still do by hand. We automate it: books closed in days, transactions reconciled automatically, every step logged for audit.
mid-sized companies
(APQC benchmarking data)
on our finance project
month-end close automation
The Finance Team's Recurring Fire Drills
Close cycles, reconciliations, audit prep — each is a structured process with defined rules. Manual execution is the bottleneck, not the skill.
Four analysts, hundreds of manual reconciliation steps, a 30% rework rate. Every close is the same fire drill — and the same scramble on day 10 over a discrepancy from day 3.
Matching transactions across accounts and GL codes is rule-based work. Done by hand at volume, it produces errors — which compound into revised entries, mismatches, and audit findings.
Pulling records, compiling reports, and cross-referencing by hand turns audit prep into a multi-week project every cycle. The data is there — people shouldn't have to assemble it.
Regulatory reports, VAT reconciliation, cost allocation — the same data, reformatted for each recipient. Done manually, they're always slightly late, slightly inconsistent, one formatting error from a delayed submission.
What the Finance System Does
Month-End Close in 4 Days, Not 12
12 working days every month, four analysts, hundreds of manual reconciliation steps, a 30% rework rate. We built a reconciliation engine that pulls in transaction feeds, matches across accounts, flags exceptions for review, and produces audit-ready reports on schedule.
8 working days recovered per close, across 4 analysts, every month: 384 analyst-days a year back on real work. At €365/day that's €140K, plus €35K of rework and restatement avoided. Payback: ~9 weeks.
See this and 8 more case studies →Finance Automation Requires Audit Trails, Not Just Speed
A fast reconciliation that can't be audited isn't a reconciliation — it's a liability. We build both.
Pulls in feeds from banks, your ERP, payment processors, and manual uploads — and lines them up to one format before matching. No prep script anyone has to remember to run.
Your matching rules handle the clear cases across accounts and GL codes; the AI layer catches the patterns the rules miss. Only genuine exceptions reach a person.
Close reports, reconciliation summaries, and compliance outputs generate on schedule, in a consistent format — each carrying a timestamped record of what matched, what flagged, and when.
Every change — automated or human — is logged with time, user, and reason, and can't be quietly edited. Auditors get a clean trail. Finance stops rebuilding it from email threads.
What Runs the Reconciliation Engine
How long does your month-end close take?
Tell us your close cycle, your team size, and the systems you use. We'll scope what's realistic to automate and give you a number.
Map my close cycle