Why process improvement should come before finance automation

Finance automation can reduce manual work, speed up repetitive tasks and help finance teams handle larger volumes of work. But automation is not a fix for every finance problem.

If a finance process is unclear, contains unnecessary steps or depends on repeated manual corrections, automating it does not necessarily solve the problem. It can simply move the same problems into a new system.

This is why businesses should improve their finance processes before they automate them.

The goal should not be to automate as much as possible. The goal should be to build a finance process that works properly and then use automation where it can make that process better.

The problem starts with the process

Finance processes rarely become inefficient overnight.

A business may start with a simple process for recording transactions, checking accounts or preparing reports. As the business grows, more people become involved, systems change and additional checks get added.

Over time, the process can become more complicated than it needs to be.

A finance team may enter the same information into more than one system. An approval may pass through several people without a clear reason. Employees may rely on spreadsheets to complete tasks that the accounting system could handle. A reconciliation may require several manual checks because the information does not flow correctly between systems.

These issues can slow down the finance team and create additional opportunities for errors.

The natural response may be to look for an automation tool.

But the better starting point is to understand why the process works this way.

Automation cannot fix a poorly designed process

Imagine a business spends several hours each month preparing a financial report.

The process involves exporting information from the accounting system, moving it into spreadsheets, checking the figures, correcting inconsistencies and then preparing the final report.

The business could automate the spreadsheet work.

But if the original process contains unnecessary steps, the automation may only make those steps happen faster.

The better approach is to review the process first.

The finance team can identify which information it actually needs, remove unnecessary steps, establish one consistent method for preparing the report and decide where checks should take place.

Only then should the team consider which parts of the improved process can be automated.

Start by understanding how the work gets done

Before introducing automation, businesses need to understand their current finance processes.

This means looking at the process from beginning to end rather than focusing on one task in isolation.

For example, when reviewing a monthly reconciliation process, a business should look at:

• Where does the financial information come from?
• Who prepares the reconciliation?
• What information needs to be checked?
• Which steps require manual data entry?
• Where do delays occur?
• How are differences identified and resolved?
• Who reviews the completed reconciliation?
• What information needs to be retained?

These questions show where the real problems sit.

The review may reveal that the business does not need a new automation tool at all. It may simply need clearer responsibilities, fewer manual steps, better data or a more consistent process.

Standardise before you automate

Standardisation is particularly important when several people perform the same finance task.

Without a standard process, employees may complete the same task in different ways.

One person may use one spreadsheet. Another may use a different format. One employee may complete an additional check that another employee does not perform. This makes it harder to measure performance and harder to build reliable automation.

A standard process defines how the work should happen.

For example, a business can establish a consistent process for:

• Recording financial transactions
• Completing bank reconciliations
• Processing invoices
• Managing accounts receivable
• Preparing payroll information
• Completing month-end activities
• Preparing management reports

Standardisation does not mean every finance activity must follow exactly the same approach. Businesses may have legitimate reasons for different processes. However, those differences should have a clear purpose rather than exist because different people have developed different ways of working.

Good data is essential

Automation depends on the information moving through the process.

If financial information is incomplete, inconsistent or entered incorrectly, automation cannot automatically determine what the correct information should be.

For example, if a business uses inconsistent account classifications, an automated process may continue applying those classifications without identifying the underlying issue.

This is why businesses should review their data before automating a finance process.

They should understand where the information comes from, who enters it, how it moves between systems and where errors are most likely to occur.

Improving data quality may involve creating consistent definitions, improving the chart of accounts, reducing duplicate data entry or introducing better checks at the point where information enters the finance process.

Not every manual task needs automation

A manual task is not automatically a problem.

Some finance activities require professional judgement, investigation or decision-making. Automating these activities without considering their complexity can create new problems.

Automation is generally more suitable for repetitive work that follows clear rules.

Examples can include:

• Capturing financial information
• Matching transactions
• Routing approvals
• Performing repetitive calculations
• Generating standard reports
• Moving information between connected systems
• Processing high-volume, rules-based transactions

The key is to identify where automation can genuinely improve the process.

A business should not automate a task simply because technology makes it possible.

Measure the process before changing it

Businesses also need a clear understanding of current performance.

Businesses need to measure the current process before making changes. This gives them a clear basis for comparing processing time, errors, manual work and rework after the process improves or automation is introduced.

Finance teams can measure areas such as:

• Time taken to complete a process
• Number of manual steps
• Number of errors
• Amount of rework required
• Number of exceptions
• Month-end completion time
• Time spent on repetitive tasks

These measures create a baseline.

After improving and automating the process, the business can compare the results with that baseline.

This helps finance leaders focus on actual improvements rather than assuming that a new technology investment has created value.

People still matter

Process improvement and automation should not remove people from the conversation.

Employees understand how finance processes work in practice. They often know where delays occur, which steps create unnecessary work and where exceptions appear.

Their input can help businesses design processes that work in real situations rather than processes that look efficient only on paper.

Clear ownership also matters.

Someone should remain responsible for the process, even when technology performs part of the work. Finance teams need to know who reviews exceptions, who investigates errors and who approves changes to the process.

Automation changes how work gets done. It does not remove the need for accountability.

Build the foundation before adding technology

Finance automation should start with the process, not the technology.

They begin with the process.

First, understand how the work currently happens. Then remove unnecessary steps. Simplify the remaining work. Standardise the process where appropriate. Improve the quality of the underlying data. Define responsibilities and approval steps. Then identify the tasks where automation can provide a practical benefit.

This approach creates a stronger foundation for automation and makes it easier to identify where technology can genuinely improve finance operations.

Improve the process. Then automate what makes sense.

At Accario, we understand that better finance operations start with the way work gets done. Our finance support combines experienced professionals with practical processes and technology across areas such as bookkeeping, accounts payable, accounts receivable, reconciliations, payroll and financial reporting. We help businesses improve the underlying finance processes first, then identify where the right technology and automation can reduce repetitive work and support more efficient operations.

If your finance team is spending too much time on manual work, the answer may not be another automation tool. Start with the process. Identify what needs to change. Then automate what makes sense. Contact us to discuss how we can support your finance operations.