Month-End Close Shouldn't Take
12 Days. Ours Take 4.
Finance operations run on reconciliation, close cycles, compliance reporting, and audit preparation. Each of these involves people doing work that rules and logic can do faster, more accurately, and with a complete audit trail. We build the systems that close monthly books in days, reconcile transactions automatically, and generate compliance documentation without analyst hours.
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 — every one of these 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 because entries didn't match first time. Every close cycle is the same fire drill — the same people, the same steps, the same scramble on day 10 when someone finds a discrepancy from day 3.
Transaction matching across accounts, cost centres, and GL codes is rule-based work. A human doing it at volume makes errors. Those errors compound downstream — into revised entries, reconciliation mismatches, and audit findings that all trace back to step one.
When audit prep means pulling records, compiling reports, and cross-referencing specifications manually, it becomes a multi-week project every cycle. The data is there. The structure is defined. The humans shouldn't be doing the assembly.
Regulatory reporting, VAT reconciliation, cost allocation reports — all require the same data in different formats for different recipients. When these are manual jobs, they're always slightly late, slightly inconsistent, and slightly at risk of a formatting error that delays submission.
What We Actually Built
Month-End Close in 4 Days, Not 12
12 working days every month, four analysts, hundreds of manual reconciliation steps — and a 30% rework rate because entries didn't match first time. Every close cycle was the same fire drill. We built an automated reconciliation engine that ingests transaction feeds, matches across accounts, flags exceptions for human review, and generates audit-ready reports on a defined schedule.
4 analysts × 8 working days recovered per monthly close × 12 months × €365/day = €140K direct labour + rework and restatement costs eliminated (est. €35K). Payback: ~9 weeks.
See full case study library →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.
Accepts feeds from banking APIs, ERP exports, payment processors, and manual uploads. Normalised to a common schema before any matching runs. No preprocessing script that someone has to remember to run manually.
Configurable matching logic handles exact-match, fuzzy-match, and multi-field matching across accounts and GL codes. ML layer handles patterns the rules don't catch. Human review queue for genuine exceptions only.
Close reports, reconciliation summaries, and compliance outputs generate on a defined schedule in a consistent format. Every report includes a timestamped audit trail of what matched, what flagged, and when each action was taken.
Every modification — automated or human — is logged with timestamp, user, and justification. Auditors get a clean trail. Finance doesn't have to assemble it from email threads and spreadsheet change histories.
What We Build On
How long does your month-end close take?
Tell us your current close cycle, your team size, and which systems you work with. We'll scope what's realistic to automate and give you a number.
Get a scoped estimate