Python automation and API integrations for your business.

Discipline: Python and process automation
Engineering: Jarek Trepkowski
Principal Software Engineer
Focus: Python / AI / Automation

Python process automation and API integrations for businesses: data workflows, reports and repetitive tasks. Process review, implementation and testing.

Discuss your workflow

Two people discussing a process map at a whiteboard. — Python and process automation

Overview

Less copying. A workflow you can verify.

When a team moves data between systems, fixes files or builds reports by hand, a script alone is often not enough. I review the workflow, connect systems and build automation with an outcome you can verify and a solution you can maintain after launch.

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Starting point

When is automation worth exploring?

A useful starting point is a repetitive task with identifiable inputs, an expected result and someone responsible for the process. We begin with one concrete problem. If the process keeps changing or has too many exceptions, we first establish what needs to be clarified.

Scope

What can I automate?

API integrations

Transferring and synchronising data between systems, validating fields and handling agreed failure and retry conditions. Available APIs, permissions and vendor restrictions determine the feasible integration scope.

Reports and data workflows

Collecting, cleaning and processing data into an agreed report format. I also check missing data and the conditions in which a person needs to review the result.

Documents and repetitive operations

Generating or processing documents and files using agreed rules. Where AI interpretation is useful, we define how to evaluate the output and when a user needs to approve it.

Software and integration tests

Repeatable checks of a critical workflow after changes. Depending on the project, tests can run locally or in CI/CD, with a readable report and run instructions.

Example

From a customer request to a CRM task.

A team receives a form and copies its data by hand. Automation reads the request, validates required fields and creates a CRM task. Incomplete requests are sent for human review.

Input: a form submission or a message.
Checks: valid fields and agreed task-creation rules.
Outcome: a record in the target system or a clear error.

Working together

A focused scope and clear acceptance criteria

Review the process
We identify data sources, repetition counts, exceptions and expected outcomes. You receive priorities and a scope assessment.
Implement and test
I build the agreed Python workflow with validation and error handling appropriate to the process. We check the expected path and relevant edge cases using agreed data.
Deploy and hand over
We verify acceptance criteria. I hand over the code, run instructions and agreed maintenance information. Hosting, system access and further support follow the scope of your quote.

Handover

What remains after launch?

The agreed solution’s code and configuration.
Tests for the critical workflow and error handling notes within the agreed scope.
Run instructions and the information needed to maintain the solution.
A walkthrough and the decisions needed for future development.

Engagement

Establish feasibility before implementation

Scope depends on data access, interface quality and process rules. Permissions, configuration and decisions requiring human approval are agreed before implementation. Time savings are estimated by measuring the process, not by assumption.

Where do we start?

Describe the task, systems, data format and approximate repetition count. An anonymised example of the input and expected output is useful. We can then decide whether the right first step is a process review, a small implementation or test automation.

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FAQ

Questions before we start

Does every automation need AI?

No. Code and APIs can be sufficient when the rules are clear. We consider AI for interpreting unstructured content; the outcome still needs verification.

What should I prepare for our first conversation?

The process, tools, sample data without sensitive information and the desired outcome. You do not need a technical specification.

Can we start with a small scope?

Yes. We choose one problem and review a working example before a larger investment. Scope and budget are confirmed before work begins.

Start with the problem

Let’s talk.

Which task comes back every week? Send a short description of the process and the work your team handles manually today. I will suggest how to define the scope and acceptance criteria.

Email me directly: jaroslawtrepkowski@gmail.com You can also contact me on LinkedIn.

B2B collaboration in Poland and Europe. I reply to every message personally.