Service
Typing in the same data every week, creating documents by hand, keeping deadlines up to date in the calendar: workflows like these cost time and are error-prone. Digitalisation means mapping the workflow cleanly once – automation means it then runs by itself.
Many processes live in forms, spreadsheets and emails. They work as long as the right people are around and break as soon as someone is absent. A digital workflow shows where a case stands, who is next and which data is missing. That is the first step – and often it alone brings the biggest gain.
Anything rule-based and recurring: transferring data between systems, generating documents and reports, sending notifications on certain events, monitoring deadlines, running imports and exports overnight. What matters is that exceptions are handled cleanly and people can step in when a case does not fit the pattern.
Not every process should be automated, and not every one the way it runs today. That is why every project starts with an analysis: which steps actually exist, where do waiting times and errors arise, which data is involved? This shows what should be digitalised, what automated and what can simply be dropped.
Automation is introduced in manageable stages, starting with the workflow that costs the most time. Each stage is usable on its own and delivers measurable benefit before the next one begins. This keeps the project under control and brings the team along.
In practice
Kais Solutions builds and runs its own applications. They show how this service is put into practice in real products.
Digitalisation & Automation
Processes that occur regularly, follow clear rules and work with structured data – such as creating documents, transferring data, notifications or reports. Individual cases with a lot of discretion are better left to people; there, digitalisation helps with transparency and templates.
Not necessarily. Existing systems can often be connected via interfaces and extended with individual automatic steps. Where no suitable tool exists, a lean application of its own is built – no more than necessary.
They are usually good documentation of the actual process and a valuable starting point. Data is migrated, logic is rebuilt where it makes sense, and after the switch the spreadsheets can still serve as an export.
The analysis estimates how much time a workflow costs today and how often it occurs. This is weighed against the implementation effort. You receive this assessment openly – including the recommendation not to automate a process for now if it does not pay off.
Individual automations are often productive within a few weeks. Larger digitalisation projects are planned in stages, so the first benefit comes early rather than only at the end.
Next step
Tell me what you would like to digitalise, automate or build. Together we clarify the requirements, the options and the next steps.
