Month-end overtime usually comes from the same handful of tasks done by hand every month, so the way to stop it is to find those tasks and automate the repeatable parts. Map what your finance team actually does in the last week, fix the two or three jobs that eat the most hours, and keep the judgement with your people.
Why month-end turns into overtime
Month-end overtime is rarely about slow work or too few people. It is usually a small set of tasks that only happen at the close, done by hand, often by one person who knows where everything lives.
When that work all lands in the last few days, the only way to finish on time is to stay late. So the fix is not working faster. It is finding the repeat tasks and moving the dull parts off your people.
Find where the hours actually go
You cannot fix what you have not measured. Spend one month-end writing down the real shape of the close before you change anything.
- List every task your finance team does in the closing week, who does it, and roughly how long it takes.
- Mark the tasks that happen the same way every month: pulling reports, chasing approvals, copying figures between systems, reconciling statements.
- Mark the tasks that need real judgement: explaining a variance, deciding how to treat an odd item, signing off the numbers.
- Add up the hours. The repeat tasks are your overtime. The judgement tasks are the work you keep with your people.
Fix the worst jobs first
Do not try to automate the whole close at once. Pick the one or two repeat tasks that eat the most hours and start there. Good first targets are usually the ones that are plain, rule-based and done the same way every time.
- Gathering data: statements, reports and figures pulled from several systems and dropped into one place.
- Preparing reconciliations: lining up two sets of numbers so a person only has to look at what does not match.
- Building the same report pack every month from the same sources.
- Chasing approvals that get lost on email or WhatsApp.
What to watch out for
Automation pays off, but a few traps turn it into more work, not less.
- Do not automate a broken process. Ask first whether the task is even still needed, and fix how it should work before you build.
- Keep a person checking the output until you trust it. Routine goes to the system; the sign-off stays with your team.
- Write the steps down. If the close lives in one person's head, it stops the day they are on leave.
- Watch the spreadsheet everyone trusts more than the system. It is often where the real close happens, and where the risk hides.
How lewkAi helps
We work in three stages, and you can stop after any of them.
- Map: we sit with your team through a close and write down how month-end really runs, including the steps nobody documented.
- Build: we automate the repeat tasks that eat the most hours, with clear rules and a person kept in the loop.
- Run: we hand it over, with the steps written down, so your team stays in charge of the close.
Will automating month-end mean fewer finance staff?
No. The aim is to give your team their time back, not to cut jobs. The routine work goes to the system so your people can spend the close on the parts that need a human.
How long before month-end stops meaning overtime?
Expect the first close after a change to feel slower, not faster, while people learn the new way. The overtime drops once the automated tasks are trusted and the team stops double-checking everything by hand.
What if our close relies on a spreadsheet only one person understands?
That is common, and it is exactly the risk worth fixing. Start by writing down what the spreadsheet does and why, then rebuild the repeat parts as something the whole team can run.
Where should we start if we only have time for one thing?
Measure one close first, then automate the single repeat task that eats the most hours. One solid win builds trust and tells you where to look next.