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Process Automation

Business process automation: when does it pay off and how do you approach it?

April 7, 20267 min read

Every business has them: processes that are manually executed every week. Processing timesheets, compiling reports, creating invoices, transferring data between systems. Work that someone does, but that a computer should really be doing.

Business process automation (BPA) solves this. But not every process is suited for automation — and a poorly automated process is sometimes worse than a manual one. In this article I explain when automation pays off, how to approach it and what the pitfalls are.

What is business process automation?

BPA is automating recurring business processes with software. The scope is broad:

  • A script that synchronizes data between two systems every night
  • A tool that reads CSV files and automatically generates invoices
  • A workflow that registers a new customer in three systems simultaneously
  • A reporting tool that automatically sends a management report every Monday

It's about one thing: eliminating manual, repetitive work.

When is automation worth it?

The rule of thumb is simple: if a process takes more than 2 hours per week, runs regularly and has few exceptions, automation is almost always profitable.

Concrete signals you should automate:

  • Employees manually copy data between spreadsheets, email or systems
  • The same report is manually compiled every week
  • Errors occur because people retype data
  • A new employee needs a week to learn "the process"
  • When the regular person is sick, nobody knows how the process works

Which processes are not suited?

Automation works best for processes with clear rules and few exceptions. Processes that don't automate well:

  • Processes with a lot of human judgment ("this doesn't quite look right, but still...")
  • Processes heavily dependent on external parties that don't have an API
  • Processes so rare that the build cost will never be recouped
  • Processes that will fundamentally change soon

A concrete example: freelancer invoicing

For ProAspect I built an automation tool for an accounting firm. The manual process looked like this:

  1. Freelancers submit weekly timesheets
  2. Employee downloads the CSV files
  3. Employee looks up the correct rate per freelancer per client
  4. Employee manually creates an invoice in Word
  5. Employee exports to PDF
  6. Employee sends the invoice via email

This process took several hours per week for dozens of freelancers. And it was error-prone: wrong rate, wrong client, forgotten invoice.

The automation replaces steps 2 through 6 entirely. The employee uploads the CSV — the rest happens automatically. From timesheet to sent invoice in seconds.

How to approach an automation project?

  1. Map the current process
    Write down step by step what happens now. Including exceptions. This is the most underestimated step — and the most important.
  2. Define the happy path
    What's the standard case? Start there. Exceptions can be added later.
  3. Determine integration points
    Which systems are involved? Do they have an API? What's the input and output format?
  4. Build and test with real data
    Always test with real historical data before going live. Production data always contains edge cases you didn't foresee.
  5. Build in monitoring
    An automation that silently fails is more dangerous than a manual process. Ensure logging and alerts.

What does it cost?

Indicative prices for automation projects:

  • Simple automation (1–3 systems, clear process): €3,000 – €10,000
  • Mid-sized automation with multiple integrations: €10,000 – €30,000
  • Complex enterprise automation: €30,000+

The ROI for a well-chosen process is almost always under 6 months. An employee spending 4 fewer hours per week on manual work saves €5,000–€10,000 per year in labor costs alone — not counting error reduction.

No-code tools or custom?

Tools like Zapier, Make (Integromat) or Power Automate are suited for simple connections between popular SaaS tools. They work well when the process is simple and the involved systems have native integrations.

Custom is better when:

  • The process contains complex business logic
  • You work with custom or legacy systems without standard integrations
  • Performance and reliability are critical
  • You don't want to depend on external tools with monthly costs

Ready to automate a process?

Describe the process you want to automate — how it works now, which systems are involved and how much time it takes. Check out our process automation service or get in touch for honest advice on feasibility and approach.

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