Process Optimization: Automating Processes and Improving Workflows

Veröffentlicht am 03.06.2026

Lesedauer: 16 min

Contents

Share:

Inhalt

Mit Ihrem Netzwerk teilen:

Long turnaround times, lost documents, or approvals that get buried in email inboxes… anyone who works in a finance or administrative department is familiar with these pain points. They are rarely the result of individual mistakes. More often than not, they stem from processes that have evolved over the years without ever being systematically reviewed or redesigned.

This is exactly where process optimization in a company comes in: it makes workflows visible, uncovers bottlenecks, and lays the groundwork for digital workflows and efficient process automation.

This article explains what process optimization entails, how companies can approach it in a structured manner, and which levers have the greatest impact, particularly in document-driven processes. Using concrete examples, you’ll learn how digital invoice processing, automated expense reporting, intelligent document recognition, and structured approval processes help optimize workflows in a sustainable way.

What Does Process Optimization Mean?

Process optimization refers to the systematic improvement of existing workflows within a company. The goal is to make processes more efficient, transparent, less error-prone, and easier to manage.

It is important to distinguish between digitization and true process optimization: If you scan a paper invoice and then still approve it via email, you have created a digital intermediate step, but not a better process. Process optimization asks further: Which steps are necessary? Which are superfluous? Where do waiting times occur? Which tasks can be automated?

Good process optimization is not a one-time project, but a continuous cycle of analysis, redesign, implementation, and measurement.

Why Companies Need to Rethink Their Processes

Process optimization has always been relevant. But the conditions under which companies operate today make it more urgent than ever. Process optimization plays a particularly important role for finance teams and administration-intensive areas.

  • Skills Shortage: Less Time for Manual Routine Work

    Qualified employees are in short supply, and having them perform repetitive, error-prone tasks is simply too costly. Any company that still manually enters incoming invoices or processes expense reports via back-and-forth emails has a resource problem, regardless of its size.

    This is where process optimization comes in: Repetitive tasks are reduced, routines are automated, and skilled workers are freed up for the tasks where their expertise is truly needed.

  • Regulatory Pressure Is Mounting

    The growing requirement for electronic invoicing is forcing companies to fundamentally rethink their incoming invoice processes. In Germany, structured electronic invoicing has been mandatory in the B2B sector since 2025. The trend in Austria is similar. Added to this are requirements from GoBD (Germany) and BAO (Austria) regarding audit-proof archiving, as well as the GDPR. Those who attempt to meet these requirements with manual processes pay a high price for compliance in the form of additional effort.

    More on the topic of retention requirements and (digital) archiving: Retention Requirements for Accounting in Austria and Basics of Audit-Proof Archiving or Digital Archiving: Everything You Need to Know.

  • Cost transparency is becoming a key factor in purchasing decisions

    Manual invoice processing costs significantly more on average than automated processing. Every data transfer, every email forwarding, and every manual account assignment takes time—and therefore money.

    Those who understand the direct and hidden process costs can also justify the benefits of improvements.

  • Scalability: Paper-based and email processes struggle to scale

    A manual process often works as long as the volume remains manageable and experienced staff “know how things work.” As soon as the company grows, new locations are added, substitutes need to step in, or more document types need to be processed, this model becomes unsustainable.

    Scalable processes require clear rules, digital workflows, defined responsibilities, and traceable status information.

  • Mitarbeiterzufriedenheit beginnt beim Prozess

    Wer täglich Dokumente abtippen, nachfragen und nachhaken muss, ist selten motiviert. Repetitive, manuelle Aufgaben demotivieren und binden Potenzial, das anderswo gebraucht wird. Gute Prozesse sind deswegen nicht nur eine Frage der Effizienz, sondern auch der Arbeitgeberattraktivität.

Process Optimization in Your Company: These Processes Can Be Automated

In document-driven companies, many core workflows follow two major process chains: from purchasing to payment to the supplier (Purchase-to-Pay) and from the customer order to receipt of payment (Order-to-Cash). It is precisely here that manual steps, media breaks, and time-consuming approvals often occur.

At the same time, these processes hold the greatest potential for genuine process optimization, as document-based workflows in particular can now be automated in a targeted and efficient manner. This results in greater transparency, fewer sources of error, and a noticeable reduction in the workload for business departments.

Digitally Processing Incoming Invoices

In many companies, invoice receipt is a prime example of legacy, suboptimal processes: invoices arrive by mail, as PDFs via email, and increasingly in structured XML formats such as XRechnung or ZUGFeRD. In some companies, they arrive via all these channels simultaneously.

Digital invoice processing does not start with the format, but with the process behind it. This means: automatic document recognition and data extraction via AI and OCR, intelligent account assignment suggestions, rule-based approval workflows, reconciliation with purchase orders and delivery notes (2-way match, 3-way match), and seamless integration with the ERP or financial accounting system. The end result is audit-proof archiving, completely free of manual intermediate steps and status ambiguities.

The outcome: shorter processing times, fewer missed discounts, transparent responsibilities, and a process that does not stall even with high document volumes.

Automate Travel and Expense Reimbursements

The processing of expense and travel reimbursements is a process that consumes a disproportionate amount of energy in many companies: for employees who collect and submit receipts, and for accounting teams who review, approve, and post them alike. Yet the potential for automation is high.

Digital travel expense processing captures receipts via a smartphone photo of the paper invoice or by drag&drop of the digital document, automatically checks for compliance with policies, triggers rule-based approvals, and transfers approved expense reports directly to the ERP system. What used to take weeks can now be reduced to a few days or even hours.

Automatically recognize and process documents

Process optimization does not end with invoices. Many companies process large volumes of document-based information every day: order confirmations, delivery notes, waybills, material certificates, timesheets, or contract documents.

Intelligent document processing can classify documents, extract relevant data, match it with existing information, and initiate the appropriate follow-up process. This is particularly useful in situations where documents are received digitally but are still manually checked, sorted, and forwarded internally.

Digitally Manage Approval Processes

Approval processes are a classic example of poor workflows. They are necessary but often poorly organized. Who is authorized to approve what? At what amount is a second approval required? What happens in the event of an absence? Who can see the current status? And why has the invoice been sitting with someone who is not actually responsible for it for the past six days?

Digital approval workflows, on the other hand, manage responsibilities based on rules: by amount, cost center, department, or document type. They send automatic reminders, escalate in case of delays, and make the status traceable at all times. The result: fewer follow-up inquiries, shorter processing times, and significantly greater traceability.

Process Optimization Approach: 4 Steps to More Efficient Workflows

Process optimization does not happen on its own. It requires a clear methodology, specific individuals in charge, and the willingness to truly challenge existing structures. The good news is that getting started does not have to be complicated. A structured, four-step approach has proven effective in practice.

An Overview of Process Optimization Methods

Different methods are used depending on the initial situation and objectives:

Lean Management eliminates waste and focuses on value-adding steps. Six Sigma reduces process errors using metrics. Kaizen relies on continuous, incremental improvements driven by the team. Business Process Reengineering (BPR) fundamentally redesigns processes when incremental improvements are insufficient. BPMN 2.0 is the standard notation used to model processes in a uniform manner and make them readable for software systems.

Which method is appropriate depends on the specific use case. Consistent implementation is key.

What are the Benefits of Process Automation?

The benefits of automated processes cannot be reduced to a single point. They operate on multiple levels simultaneously and reinforce one another.

  • Faster processing: Digital workflows automatically route tasks to the right place. Invoices, receipts, or approvals no longer need to be distributed manually. This reduces processing times and turnaround times.
  • Fewer errors: Manual data entry is prone to errors. Automatic data extraction, validation, and reconciliation significantly reduce these sources of error. This is particularly relevant in invoice processing, as incorrect amounts, cost centers, or tax codes can lead to unnecessary correction efforts later on.
  • Transparent workflows: A good digital process shows the status of a task at any time. Who still needs to approve it? Which check is pending? Why was a document rejected? This transparency reduces the need for follow-up questions and improves control.
  • Lower costs: Less manual work, shorter processing times, and fewer errors reduce process costs. This is especially true when dealing with large volumes of documents.
  • Better collaboration: When processes are managed centrally, line departments, accounting, purchasing, and management all work from the same foundation. Comments, reviews, and decisions remain traceable within the workflow.
  • Scalable processes: A well-automated process grows with the company. More documents, more locations, or additional document types do not automatically lead to more chaos.
Area Manual Process Automated Process
Receipt Email, paper, scan, various storage locations Central digital inbox
Data Extraction Manual entry Automatic data extraction
Verification Manual visual inspection Validation, rule checking, deviation detection
Approval Email, verbal notification, Excel list Defined digital workflow
Status Visible only upon request Transparent at all times
Archiving Manual filing, inconsistent Audit-proof digital archiving
Analysis Difficult or impossible Process metrics available
Scalability More volume means more effort More volume can be better accommodated

This is particularly evident in the processing of incoming invoices, expense reports, and other types of documents: automation delivers measurable benefits in terms of time, money, and process quality.

How can Process Optimization be Measured?

Typical metrics for document-based processes include: processing time per transaction, cost per document, error rate, percentage of exceptions processed manually, percentage of transactions posted automatically (blind posting rate), and the time to payment approval. Comparing these values before and after optimization provides a clear picture.

Common Challenges in Process Optimization

Routines provide a sense of security, which is why people often stick to familiar procedures, even when they are not working well. Especially in situations where employees are very familiar with established procedures and have developed workarounds that function well, there is usually little willingness to change. Successful process optimization therefore requires early involvement of the entire team, clear communication, and systems that people actually want to use in their daily work.

  • Lack of transparency regarding existing processes: Many companies launch optimization initiatives without knowing how their processes actually work. There is often a significant discrepancy between the official procedure and how the team actually carries it out on a day-to-day basis. Documentation either does not exist, is incomplete, or is outdated. Without an honest assessment of the actual processes, however, there is no foundation for meaningful change.

  • Standalone tools without integration: one tool for invoice receipt, another for archiving, a third for approvals—and none of the systems communicate with one another. Such isolated solutions create new data silos instead of eliminating existing ones.

    Process optimization requires integrated systems that pass data through seamlessly. Document-based processes, in particular, require an end-to-end approach. Incoming, scanning, verification, approval, posting, transfer, and archiving all belong together.

  • Unclear responsibilities: If it is unclear who is responsible for a process, no one will actively work to improve it. Process owners must be designated, given decision-making authority, and actively involved. Digital workflows are only effective if roles, rules, and escalation procedures are clearly defined.

  • Overly complex processes: Which cases truly require their own process path? If you do not streamline and strip things down to the essentials before automating, you end up automating all the complexity. The result may be technically sophisticated, but it it difficult to use in practice.

  • Unrealistic expectations: A solution can automate many processes, but it requires clear rules, appropriate interfaces, clean master data, clear guidelines for special cases, and, last but not least, user acceptance. Anyone who expects that no manual intervention will be necessary after a software implementation will be disappointed. More realistic expectations lead to better projects.

What companies should keep in mind: Process optimization is most successful when it is viewed as a collaborative, cross-departmental initiative rather than being rolled out by a single department to other teams. Business requirements, technical implementation, and change management must work together from the very beginning.

How free-com Supports Companies in Process Optimization

free-com helps companies digitize document-based business processes end-to-end: from capture through review, approval, and processing to archiving.

The focus is on processes in which documents must not only be filed but also understood, reviewed, and further processed. These include, in particular, incoming invoices, travel and expense reports, order confirmations, delivery notes, waybills, material certificates, timesheets, and other document-driven workflows.

The free-com Approach: End-to-End Instead of a Isolated Solution

Process optimization works best when all relevant steps are considered together:

  • 1

    Documents enter the company through various channels.

  • 2

    The solution automatically detects the document type and relevant data.

  • 3

    Content is reviewed, validated, and, if necessary, cross-checked against existing information.

  • 4

    The process is transferred to the appropriate workflow.

  • 5

    The responsible individuals review, comment on, or approve the document.

  • 6

    Data is transferred to ERP, financial accounting, or other target systems.

  • 7

    Documents and process history are archived in a traceable manner.

Companies that digitize and automate their processes early on lay the groundwork for more efficient workflows, greater transparency, and long-term scalability.

Do you have any questions for us?

Whether delivery receipts, order confirmations, incoming invoices, expense reports or other types of documents – our intelligent solution automatically reads all company documents and enables a transparent, location-independent approval process.

We would be happy to advise you in a short, non-binding online appointment!

Frequently Asked Questions About Process Optimization

Process optimization involves the systematic analysis of existing workflows, the identification of bottlenecks and inefficiencies, and the targeted redesign of these processes. The goal is to shorten turnaround times, reduce errors, and use resources more efficiently. In document-driven environments, this often includes the automation of manual steps such as data entry, approvals, or archiving.

Recurring, rule-based, and document-based processes are particularly well-suited. These include incoming invoice processing, travel expense and expense reimbursement, approval processes, document recognition, order confirmations, delivery notes, and archiving processes. Processes with a high proportion of exceptions or highly variable decisions still require human judgment, but even here, automation can handle the preparation and routine work.

Commonly used methods include Lean Management, Six Sigma, Kaizen, Business Process Reengineering, and BPMN 2.0. The appropriate method depends on the objective: Is the goal to reduce waste, lower error rates, achieve continuous improvement, or completely redesign a process? In practice, these methods are often combined.

Process optimization follows a continuous cycle: documenting processes, analyzing bottlenecks, redesigning workflows, implementing changes, and measuring results. It is crucial that this cycle does not end after the first iteration, but is viewed as an ongoing task.

Digitization means converting a process into a digital format, such as scanning a document or sending an email instead of a letter. Process optimization asks whether the process makes sense in the first place and improves its structure. A poor process that is digitized remains a poor process.

The best way is to actually reduce their workload. Employees should understand which tasks will be eliminated, which processes will become simpler, and where they will have to search, ask questions, or make manual corrections less often in the future. Early involvement, transparent communication, and realistic expectations are key. Explaining to employees why a change is taking place, what specific improvements it will bring, and what role they play in it significantly reduces resistance. Pilot projects with visible successes build trust in new processes.

A before-and-after comparison clearly shows what the optimization has actually achieved. Key metrics include turnaround time, processing time per task, error rate, number of manual interventions, follow-up inquiries, overdue approvals, degree of automation, process costs, and user satisfaction.

Finance teams deal with many document-based, audit-sensitive, and time-sensitive processes. Incoming invoices, expense reports, approvals, account assignments, and archiving must be traceable. Streamlined processes reduce manual work, improve transparency, and support compliance.

No. E-invoicing standardizes the input format, but it does not replace verification, approval, account assignment, posting, ERP transfer, and archiving. Without an end-to-end workflow, even a structured invoice remains merely an incoming document.