How to reduce overhead costs in a mid-sized company

Every year the company grows a little, and every year you hire another coordinator, another finance assistant, another person to keep the spreadsheets straight. Revenue per head is flat or falling. When you ask where the hours go, nobody can tell you, because the work is spread thinly across everyone's week.

That's what overhead looks like in a company of 50 to 500 people. It's rarely one big expense. It's a hundred small tasks that exist to move information from one place to another.

Overhead hides in roles, not in departments

Most advice on how to reduce overhead costs starts with rent, software licences and suppliers. Those are worth reviewing, but in a mid-sized business they're usually not where the money is. The bigger cost sits inside job descriptions: the sales coordinator who spends a third of the week re-entering orders, the project manager who writes the same status report three ways, the accountant who chases approvals by email.

None of these people are idle. They're busy doing work that a system should be doing. That's why cutting headcount rarely fixes overhead. The work stays, it just lands on fewer people, and quality drops.

What it costs: a worked example

Count the people who spend real time on admin, the hours each spends a week, and what an hour of their time costs you fully loaded.

In the same example, removing the steps that only move data and automating the rule-based ones takes admin hours from 96 to 58 a week, about 40% less. The share of admin in each role falls from roughly 30% to 18%. Nobody leaves. The 38 hours go back to customers, quality and the projects that kept slipping.

Your numbers will differ. The point of running them is that you now have a figure to measure against, and a reason to treat this as an operations problem rather than a budget line.

Four places to look first

Approvals by email. Invoices, purchase requests, discounts and leave requests that move by forwarding. Each one waits in an inbox, and someone spends time chasing it.

Re-keying between systems. An order arrives by email, gets typed into the ERP, then into a spreadsheet for the warehouse, then into a report. Every copy is time and a chance for an error.

Status reporting. Weekly reports assembled by hand from the same data that already sits in your systems.

Exceptions handled from memory. The process works when one experienced person is in. When they're on leave, it stops.

If you only look at one, start with approvals. In the case we use as our reference, a 200-person distributor, supplier invoice approval alone took 46 hours a week. After the flow was rebuilt, it took 9.

The fixed flow

Procure to pay with 3-way match

1. Supplier invoice
2. E-invoice validation
3. Extract invoice lines
4. Fetch PO and GRN
5. 3-way match
6. Within tolerance?
7. Post to AP
8. Schedule payment
9. Paid on terms
10. AP hours a week: 32 → 6 (Example)

A request comes in once, from email or a form. Rules decide what they can: which approver, which cost centre, whether the amount is inside policy. The result is filed in the system where it belongs, not in an inbox. The weekly report builds itself from what was filed. A person only sees the exceptions, with the context they need to decide.

This isn't about buying a new platform. In most companies the ERP, the accounting system and the shared drive are already there. What's missing is the connection between them and the rules written down.

What to do this week without us

1. Pick one process. The one people complain about most, that repeats every week.
2. Count the hours for one week. Ask each person involved to log time on it. Honest numbers beat estimates.
3. Map the steps on one page. Mark each step that only copies data from one place to another.
4. Find the rules. Most approvals follow rules nobody has written down. Write them down. Often that alone removes a round of emails.
5. Remove one step. Pick a step that exists only to move data and see if a system already in place can do it, an ERP import, a form, a shared view.
6. Measure again. Same people, same process, one month later.

This is slower than hiring a firm, but it gives you a real number and a much better conversation with anyone you hire later.

When to call us

Call us when the process touches several systems that don't talk to each other, when the rules need judgment that a simple workflow tool can't handle, or when your team doesn't have the time to do the mapping and the building at once.

We start with the two-week assessment, which counts the admin hours process by process and ranks what to fix first. The fee is credited if you continue. From there, business consulting maps and matures the processes, and forward-deployed engineering automates them in your stack: our engineer works inside your business, not from a ticket queue. We've run this at scale in large-enterprise operations and bring it down to your size. The people you meet stay on your work from the first day to the last. See the use cases and the questions owners ask us.

FAQ

How does Devvion reduce overhead costs?

Devvion counts admin hours process by process, removes steps that exist only to move data, and automates the rule-based work that remains. AI is added only where a person was making a judgment call. We measure the overhead before we start and after we finish, for the processes we touched.

Do we have to cut staff to reduce overhead?

Devvion removes work, not people, and we say that to your team on the first day. The hours that come back go to customers, quality and delayed projects. In a growing company, the usual result is that you stop hiring for admin, not that anyone leaves.

What overhead costs can be automated first?

Devvion usually starts with what repeats every week and follows rules: invoice and purchase approvals, order entry, status reporting and onboarding paperwork. The assessment ranks candidates by hours saved against effort, so the first automation is the one with the clearest return.

How do we measure if overhead actually went down?

Devvion measures hours spent on each process before any change, using your team's own logs, then measures again after the automation is live. You keep both numbers. Hours per process are more honest than a headcount ratio, because they show where the time really moved.

Is overhead reduction only about software?

Devvion's experience is that half the gain comes from writing down rules and removing steps, before any software is built. Automation then makes the simpler process stick. Buying a tool on top of an unclear process usually adds one more system to maintain.