Reduce repetitive work, processing delays and operational overhead without adding unnecessary complexity to your business.
When operations depend on people processing documents, updating records and chasing approvals, growth creates more work instead of more capacity. 7code finds and automates those workflows with process automation, system integrations and AI where it adds practical value.
As transaction volumes, suppliers and customers grow, administrative work grows with them. Workflows slow down, costs rise and every extra order needs extra manual effort.
Employees extract information from invoices, purchase orders, delivery notes and contracts by hand.
The same information is entered, checked or updated across several applications.
Purchase requests, expenses and documents wait for manual review and sign-off.
People collect data from different sources and build reports by hand.
Teams chase updates, send reminders and hand tasks between departments.
Missing information and inconsistent records interrupt routine workflows.
The question is not how many tasks can be automated. It is where automation removes a real operational constraint.
The strongest opportunities are repetitive workflows with structured information, predictable decisions or high volumes of documents and transactions.
Automate repetitive steps in accounts payable, receivable and financial administration.
Reduce manual coordination across purchasing, suppliers and inventory.
Handle large volumes of business documents and unstructured information.
Cut administrative work across customer-facing processes.
Replace email-based processes with structured workflows.
Business process automation does not always need AI. The right technology depends on the work.
| Approach | Best suited for | Example |
|---|---|---|
| Rules-based automation | Predictable tasks with defined conditions | Routing purchase requests by approval limit |
| Workflow automation | Coordinating tasks across people and systems | Sending an invoice through several approval stages |
| AI-powered automation | Unstructured or variable information | Extracting and classifying data from different invoice formats |
Does the work need contextual decisions across several systems? That is a job for an AI agent, not a workflow.
AI agents for business operationsThe objective is not to use AI everywhere. It is to choose the simplest reliable approach that solves the problem.
Not every manual task deserves automation. A process is a stronger candidate when it:
Automating an inefficient process without understanding it makes the inefficiency happen faster.
Data quality, system limits, exceptions and business rules all affect feasibility.
Automation should cut real costs, add capacity or improve reliability in a way you can measure.
We start with the business process, not a predetermined technology.
We map how the process works today, who and what is involved, where delays occur and how much manual effort it takes.
We define the target workflow, rules, data, integrations, exceptions and human approval points.
We build it with the right mix of workflow logic, APIs, custom software and AI components.
We test the full workflow, including wrong inputs, missing data, failed operations and exceptions.
We monitor results against the original baseline and refine the solution as requirements change.
We measure the current process before changing anything, so the before and after are in the same units. ROI = (value of hours saved + error cost avoided − build and running cost) ÷ build and running cost.
| Team time on the process | 44 h / week |
|---|---|
| Share of that work automated | 70% |
| Loaded cost per hour | €50 |
| Hours returned in 6 months | ≈ 708 h |
| Value of those hours | ≈ €35,400 |
| Cost in 6 months (€10,000 pilot + running) | €11,800 |
Business process automation uses software, integrations and workflow technology to run repetitive business activities with less manual work. It covers invoice processing, approvals, procurement, document handling, reporting and other operational workflows.
Start with high-volume, repetitive processes that consume significant employee time or create measurable delays and errors. Evaluate the potential operational benefit, technical feasibility and cost before selecting the first workflow.
Yes. Many automation solutions work with existing ERP, CRM, accounting and operational applications through APIs, integrations, middleware or other supported interfaces. Replacing existing software is not necessarily required.
Traditional automation is usually better for predictable tasks with structured data and clear rules. AI is useful when workflows involve unstructured documents, variable information or contextual interpretation. A combination is often appropriate.
Reliable automation requires input validation, clear business rules, exception handling, logging and monitoring. Processes involving financial or sensitive decisions may also require human review and approval. Testing must cover both normal operations and unexpected scenarios.
At 7code, an automation pilot on one process starts from €10,000 and takes 4–6 weeks to a working, measured result. Larger projects are scoped after the pilot, once the numbers from the first process are known. Cost depends on process complexity, volume, integrations, AI requirements and maintenance.
The engineering behind this solution: architecture, tech stack and delivery process.
If your teams spend too much time processing documents, coordinating approvals or repeating administrative tasks, there is likely a process worth fixing.
Tell us which operations take the most manual effort and where delays occur.
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