Automation is often presented as the answer to inefficient business processes.
A new finance platform. An AI tool. Another integration.
But technology does not automatically create a better process. If the underlying workflow is unclear, fragmented or unnecessarily manual, adding more technology can simply make the same problems move faster.
That is why workflow analysis should come before automation.
Before deciding what software to implement, organisations need to understand how work actually moves through the business: who is involved, where information changes hands, where decisions are made and where delays or duplication occur.
In the short video below, we show how business operations can be visually mapped to uncover hidden bottlenecks before further technology or automation is introduced.
Most operational problems do not sit neatly inside one application.
A process may move between inboxes, staff members, managers, finance teams and multiple systems before it is completed. Each individual step may appear reasonable, but looking at the whole workflow often reveals unnecessary handovers, duplicated data entry, unclear responsibilities and tasks that depend too heavily on someone remembering to follow up.
Accounts payable is a simple example. An invoice might be received by email, forwarded for approval and then manually entered into Xero. A redesigned workflow could capture the information once, route it to the appropriate person and move the approved transaction directly into the accounting system.
The important question is therefore not simply:
“What can we automate?”
It is:
“Does this process need to work this way in the first place?”
This distinction matters because many inefficiencies occur between people and systems, rather than within the systems themselves. Software may be working exactly as intended while staff continue to copy information between platforms, chase approvals or resolve unclear handovers manually.
For businesses, this creates unnecessary cost and takes capable employees away from higher-value work. For NFPs operating with lean finance and administration teams, the impact can be even greater, with limited resources being absorbed by routine administration rather than service delivery, reporting, governance and organisational priorities.
Workflow analysis is not simply an exercise in removing a few manual tasks.
A well-designed process can also clarify who is responsible for each step, where approvals are required, what information needs to be captured and which activities genuinely require human judgement.
This is particularly important as organisations introduce more automation and AI.
Not every decision should be automated. Approval, accountability and professional judgement may still need to sit with people. The objective is to automate the repetitive work while designing appropriate human oversight into the process.
Good workflow design therefore considers people, processes and technology together.
Without that broader view, organisations can end up investing in technology that solves one problem while creating another, or adding another system to an already fragmented environment.
A useful principle is simple:
Understand the current workflow. Identify what should change. Then decide what technology is needed.
Sometimes the answer will be automation. In other cases, the biggest improvement may come from removing an unnecessary step, changing the order of a process, clarifying responsibility or connecting systems that already exist.
Technology should support a well-designed operating model, not define it.
At Tailored Accounts, we developed Tailored Workflows to help businesses and NFPs visually map how work moves across people, processes and systems, identify operational bottlenecks and redesign workflows before further technology or automation is introduced.
The aim is not to add more software.
It is to create a business ecosystem where the people, the process and the technology actually work together.
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