Automating Business Processes in Your Company

When employees transfer data from e-mails in Excel, run approvals by call and map three systems differently, no custom case arises. However, a structural problem arises.

Anyone who wants to automate business processes in the company should not start with tools. However, with the processes that cost time, money and nerves every day.

Automation is often started too late or thought too technically.

Either it remains for single islands such as a form here and a script there, or a large platform is introduced directly without rolling, data flows and exceptions being cleanly clarified.

Both rarely lead to measurable results. A clear project path with a loadable scope, suitable interfaces and an operation that works permanently is crucial.

automating business processes in the company begins with bottlenecks

automate business processes in the company: Companies reduce effort, error rates and media breaks with clear, measurable steps.

For Automating Business Processes in Your Company, Cost Calculator: Legacy Modernisation and Solution: Legacy Reduction are practical starting points. Budget and industry context: Monolith vs. Microservices.

Not every process is at once suitable for automation. Good candidates are recurring, regular and professionally stable enough to model them cleanly.

Typical examples are offer and release processes, order transfers between sales and operations, auditing, master data maintenance, ticket routing or reporting processes with high manual effort.

In practice, it is worth looking at three questions. Where do media breaks occur regularly? Where are sequences for custom persons?

And where do errors or delays cause direct costs? Exactly there, the benefits are usually quickly visible.

Automation does not have to be spectacular in order to make economic sense.

If a process saves twenty minutes every day in five departments, the effect is often greater than in a technically complicated single solution.

What many companies do wrongly assess in automation

The most common mistake is the assumption that you can easily digitize and improve a bad process. The opposite is often the case.

Unclear responsibilities, double data collection or historically grown special paths are not automatically better by software.

They're just running faster in the wrong direction. .The tool-centered view is also critical.

A platform alone solves no integration problem, no data quality problem and no technical contradictions.

If ERP, CRM, technical application and third-party systems do not merge cleanly, only a new layer of technical complexity is created instead of efficiency.

Especially in the case of growing IT landscapes in mid-sized firms, this is why. First clarify process logic and data model, then define architecture and rollout.

This is less glamorous than a fast software demo, but significantly more resilient.

Which processes are worthwhile first

The best sequence does not result from the organigram, but from effect and feasibility.

A meaningful entry is often where volume is high, rules are clear and dependencies can be mastered.

These include, for example, standard requests, test and release chains, transfers between systems or recurring document creation.

It becomes more complex if many exceptions play a role or use the same terms differently. This is not an exclusion criterion, but it changes the project approach.

Then it takes more conception, more tuning and usually also an individually built logic instead of a pure configuration.

At this point, it is clear whether a company is looking for only one implementer or an rollout partner that takes ownership for the result.

A realistic starting point instead of a large project

Many leaders would like to understand first to know whether the project is expected.

So, a clearly defined pilot is often the better way than a complete transformation program. A single end-to-end process with measurable benefits creates clarity.

It shows which data is missing. This interfaces are critical and how well specialist and IT work together.

Standards can be derived from this first project - for roles, releases, logging, error treatment, data protection and operation. This significantly reduces risk and accelerates later expansion stages.

How a loadable automation project runs

A good project begins with process recording, but not in the form of endless workshops.

The aim is a clear view of actual output, target image, exceptions, systems, responsibilities and performance indicators. At this point, it should be decided what is automated.

This is deliberately manual and which dependencies must be clarified before the start. .The technical and technical concept follows. This separates solid rollout of actionism.

What systems are leading? Where does data arise? How are status changes recorded? What user groups need what rights? And how is wronged.

This means a process does not stop, just because a third-party system is temporarily not accessible?

Only when these questions are resolved should the rollout begin. Whether low-code, individual software development, API integration or a combination is appropriate depends on the target image.

Standardization is good as long as it carries the process.

Custom development is useful if the business model, regulatory needs or legacy systems do not allow a reasonable standard solution.

automating business processes in the company also means: Take interfaces seriously

In many companies automation does not fail at the actual process, but at the transitions.

Data are in island solutions, file formats do not fit together or central systems only offer limited integration options.

Then it is improvised - with exports, copy paste or clipboards. There are error rates, intransparency and dependencies of individuals.

Anyone who wants to automate business processes in the company consistently implement must consider interfaces as the core of the project.

This concerns technical APIs as well as the technical translation between departments. An order is not the same for sales as for accounting or production.

If such terms are not defined cleanly, the best automation only helps to a limited extent.

This is why integration work is not a secondary task. It is often the real lever for measurable results.

Where systems are connected cleanly, manual outlays decrease, information becomes more up-to-date and processes are comprehensible.

Data protection, operation and maintainability are not secondary topics

Especially in the case of personal data, internal releases or sensitive business transactions, functioning software alone is not sufficient.

Companies need traceable authorization concepts, logging, deletion logics and an architecture that can be operated in compliance with the GDPR.

If you only upgrade after the Go level, you usually pay twice. .Long-term ease of upkeep is also often underestimated. Fast-built automations can help in the short term.

However, become problematic when no one can understand how rules, special cases and integrations come together.

For companies that want control and investment security, recorded processes, clean source code and a clear operating approach are so not an extra. However, standard.

A partner such as Groenewold IT Solutions is clearly here. With German development, clear ownership, GDPR-compliant rollout and solutions that not only go live.

However, also run reliably in everyday life.

What you should really measure the success

Short: Time saving is a good start, but not the only characteristic.

Time saving is a good start, but not the only characteristic. It is crucial whether a process becomes more stable, transparent and scalable.

Good automation reduces queries, shortens throughput times, reduces error rates and makes the status of a process understandable at any time.

The organizational effect is equally important. If disciplines are less concerned with stopping and correcting, space is created for value-creating work.

This not only improves efficiency, but also often improves service quality and employee satisfaction. Especially in areas with a lack of skilled workers, this is a hand-resistant advantage.

Still, not every automation is expected at once. In rare special processes or highly changing needs, a good manual solution can be more economical.

The right decision is not a maximum of automation. However, targeted automation with a clear business case.

When standard software is enough and when individual development is reasonable

Short: Many companies start with existing vehicle systems.

Many companies start with existing vehicle systems. This is reasonable as long as the process is not bent.

When standard software maps the core logic, creates clarity and allows clean integration, it is often the fastest way.

However, as soon as several systems are combined, specific release logics are used or the company with standard functions reaches limits, custom development becomes relevant.

Especially in legacymodernization, complex interfaces or industry-specific needs, an accurate approach is often more economical than long-term adaptation of compromise solutions.

The central question is not standard or custom. It is.

What solution is long-term, measurable and technically appropriate? ?Anyone who is automated today decides not only about a single process.

However, about the future working capacity of the company. The best next step is so rarely the largest investment, but the cleanest prioritization.

Technical sources and further links

The following separate references complement the grouping on the topics of this Article:

• Bitkom – Digital Economy Association.
• BSI – Federal Office for Information Security.
• European Commission – Digital Strategy.
• MDN Web Docs (Mozilla)
• W3C – World Wide Web Consortium.

"ERP projects rarely fail at the software list, but at unclear process boundaries and lack of expertise in the project."

— *Björn Groenewold, Managing Director, Groenewold IT Solutions *