Process improvementmeetsSoftware Development
From process problem to working digital solution
The challenge
The ambition.
Every company is busy digitalizing and automating. Making processes smarter, using data better, reducing manual work.
The reality.
But it often takes more time and money than expected. Getting people on board is hard. And often the existing way of working is simply digitised, detours and all.
Meanwhile the big system choices do get made, but the many smaller processes in between stay stuck in Excel and workarounds. Those are exactly the ones that cost a lot of time and cause errors.
The cause.
The business knows what is needed, but speaks a different language than the IT people who build it. Information gets lost in that translation.
And often building starts before it is clear what the real problem is. The result is software that works, but does not make the process better.
What if the person who optimizes the process also builds the software themselves?
That combination is worth gold.
The person who understands the process also builds the solution. No briefing to a developer, no translation step, no information loss. The solution fits because the builder knows the problem. And because the process has been improved first, the software fits a way of working that makes sense, and the people who work with it.
What can be built.
Above all, the processes that fall between the big systems. Think of a supplier portal that collects requests and evaluations in a structured way, an onboarding tool for new employees, a dashboard that brings scattered data together into one clear overview, links between systems that are now retyped by hand, or automated workflows that take over repetitive work. The goal is always the same: less manual work, fewer errors and more control.
How it works.
First the problem, then the solution.
Nothing gets built until it is clear what really goes wrong and why. The real problem often sits somewhere other than where it shows. Software that solves the wrong problem only adds complexity.
Improve, do not just digitise.
Automating a cumbersome process gives you a fast cumbersome process. That is why the way of working is improved first: unnecessary steps removed, exceptions reduced. Only then does the software follow that improved process.
Technology as a means.
Sometimes a process change is enough, sometimes existing software fits, sometimes automation or custom software is needed. The choice follows from the problem, not the other way around. AI is only used where it truly adds value, for example in interpreting documents, language or patterns. If regular software fits better, that is preferred.
Process and technology in one hand.
From analysis to delivery there is one point of contact who knows both the process and the solution. No handovers where knowledge gets lost.
People involved from the start.
The people who work with the process often know best where it hurts. They help shape the analysis and design, test along the way and are taken along in the rollout. That way the solution fits the work and actually gets used.
Only done when it works.
Delivery is not the finish line. After rollout we measure whether the process really runs better: less manual work, fewer errors, shorter lead times. Where needed, we adjust.
Curious what this could mean for your organisation?
Software that truly improves your process.
Process improvementmeetsSoftware Development.
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