Operational efficiency: where companies lose money every day

The company is growing, but profit stands still. Revenue is twice what it was last year, yet net profit has barely moved. This is the classic signature of an operational efficiency problem. Somewhere in the company's processes, money is leaking away. Every day. And the founder doesn't even know it.

Operational efficiency is how a company uses its resources — people, money, time, materials — to generate profit. The more efficient it is, the more profit it earns on every ruble of revenue. A company with ₽500M in revenue and a 10% margin earns the same as a company with ₽250M in revenue and a 20% margin. The difference is operational efficiency.

Types of waste: where to look for the problem

Rework and redundant effort

An employee takes on a task, completes it, and only then discovers it should have been done differently. Or a manager asks for it to be redone. Or the requirements were written incorrectly. In our experience, rework consumes roughly 20–30% of all effort in manufacturing and 15–25% in service businesses. The exact figures differ from company to company, but once you translate them into rubles, the sums are substantial.

Take an example: a software development firm wins a client. The requirements are written superficially. The developers build to one interpretation. The client sees the result and says, "No, that's not what I wanted." The developers redo it. Thirty percent of the project is rework. On a project budget of ₽5M, ₽1.5M is pure loss.

Waiting and delays

A task is ready for the next step, but you have to wait for the person responsible for that step to free up. Or the task waits for approval. Or it waits for a resource. It's not unusual for the average time to approve a contract to stretch to three weeks — when it could realistically be compressed to five days by breaking the process down step by step. Every day of delay is a day when revenue isn't coming in while costs keep running.

Overprocessing

People do more than is needed. Highly detailed reports when a short summary would do. A 40-slide presentation when 10 would suffice. The habit looks harmless. But multiply it across every employee and every month, and you've lost hundreds of hours that someone is paying salaries for.

Excessive oversight and approvals

Five people sign off on an invoice instead of one. Three people sign a document where one would do. Every decision passes through three layers of management. This slows everything down and weighs on the budget. The company pays senior leaders to spend their time approving minor decisions instead of working on strategic questions.

Poor quality

When someone works poorly, it triggers rework. But often the problem isn't the person — it's the process. No standards, no checks, no training. When standards aren't written down, every employee does it their own way. The result is unpredictable and frequently needs fixing.

Lean for the mid-market

Lean (lean manufacturing) is a methodology developed at Toyota and used to find and eliminate waste. It suits not only manufacturing but also service businesses, IT, consulting, and logistics.

Principle 1: Value from the customer's perspective

What exactly is the customer willing to pay for? If a client is paying for software, they're paying for a working solution — not for documentation or meetings. Any work that isn't needed to create a valuable outcome is waste. This principle helps separate useful work from noise.

Principle 2: Value streams

Map the process from start to finish. A customer order arrives at the company, passes through different departments, and becomes a finished product. Look at where it gets held up, where it gets reworked, where it waits. This is called value stream mapping. And almost every time, the same thing surfaces: out of the total process duration (say, 30 days), the actual work takes only 5–7 days. Everything else is waiting and handoffs back and forth.

Principle 3: Continuous flow

A task should move from start to finish without stopping. If a task gets stuck — waiting for approval, waiting for a resource — that's waste. A task should be passed to the next person the moment the previous step is complete.

Principle 4: Pull

Instead of producing what you think is needed, produce what the customer actually asks for. This reduces excess inventory and rework. In service businesses, this principle means: don't do work ahead of time "just in case." Do what's requested, in the amount that's needed.

Principle 5: Continuous improvement

Don't redesign the process once — improve it constantly. Small improvements every week. This is a cultural shift: every employee sees their own responsibility for improving processes, not just for completing tasks.

The process of finding waste and optimizing

Step 1: Choose a process

Pick a critical process. Order processing, product development, contract approval, customer service. Choose the one that costs money or generates the most complaints. Start with a single process, not five.

Step 2: Map the process

Draw the process out: what the steps are, who does them, how long each step takes. This helps you see the structure. Often, when people see their process on paper, they're surprised: "Do we really go through that many steps?"

Step 3: Collect data on waste

For each step: how long it takes, how many errors, how much rework, how much waiting. It's important to count not only working time but also idle time (when the task is waiting). This is often eye-opening: the task takes 2 hours to do but waits for 3 days.

Step 4: Identify waste and bottlenecks

Based on the map and the data, determine where the largest losses are. It might be rework at a specific stage, or waiting for approval from a particular manager, or excessive process complexity. Focus on the 2–3 most significant sources of waste. Don't try to fix everything at once.

Step 5: Form improvement hypotheses

How can it be faster? Cheaper? What can be removed? What can be automated? Which steps can be combined? Not every idea is worth implementing. Choose the 3–5 most important by the ratio of impact to implementation cost.

Step 6: Implement the changes

Start with a pilot. Try the new process with one team or one client. Measure the result. If the improvement holds up, scale it across the whole company. If not, try a different approach. A pilot lowers the risk of a failed change.

Step 7: Measure the result

How long does the process take now? How many errors? How much rework? What ROI did the change deliver? Without measurement, you won't know whether the new process works. And, more importantly, without measurement people won't believe in the change.

Quick wins: small improvements with a big impact

Not every problem requires major change. Often there are quick wins — small improvements that deliver a big result at minimal cost.

Standardizing decisions. If people solve the same task a different way every time, that's waste. Write a standard for how it should be done. This saves 20–30% of the time and reduces errors.

Automating manual work. If someone manually prepares a report or copies data from one system to another every day, that's waste. Use a tool to automate it. This saves hours a week and eliminates human error.

Cutting approvals. If five people sign a contract when two would do, cut it down. Set thresholds: below a certain amount, one manager signs; above it, two. This speeds up the process by days, sometimes weeks.

Parallel processes. Instead of sequential steps, run them in parallel where you can. For example, legal review and financial analysis can happen at the same time rather than one after another. This can cut the total process time by 30–40%.

A single information space. When information is scattered across different places (email, messengers, spreadsheets, documents), people waste time searching for it. A single system for storing and managing tasks eliminates that waste.

A practical example

A service company with ₽300M in revenue and a 12% margin came to us for help. The margin hadn't grown in two years, even though revenue had doubled.

We mapped three key processes: handling the client inquiry, delivering the project, and producing the report. We found that 25% of project time went to rework caused by unclear requirements, approving the project price took 12 days (it could be 3), and three employees spent 6 hours a week each manually producing reports.

We introduced a requirements template at the order-intake stage, a simplified approval procedure (two levels instead of four), and automated reporting through the existing CRM system.

What we got after 6 months: rework dropped from 25% to 8%, approvals shrank from 12 days to 3, and employees reclaimed 18 hours a week. The margin rose from 12% to 19%. On ₽300M in revenue, that's an additional ₽21M of net profit a year. The very money that used to leak away unnoticed.

Results

When a company takes operational efficiency seriously and systematically, the results typically come together like this. It's not a guarantee or a formula — more a range we see across projects:

Speed. Processes accelerate — often by 30–50%. The client gets the result sooner and is glad you're not dragging things out.

Quality. Errors fall noticeably — by roughly 30–50%. Less rework, more predictability.

Costs. The unit cost of a product or service drops in the region of 20–30%. Resources are spent wisely.

Profit. The margin climbs — in our projects, by 5–15 percentage points. That's the money for growth.

And the key point: this isn't a one-off sprint. A company that has once seen where its money leaks starts to notice it on its own. That same founder who used to be unaware of the losses now knows. And every day saved, every piece of rework removed, is profit that can be reinvested in growth.

If this sounds like your situation, take a look at how we do it as a service: operational efficiency diagnostics.