For clients
Business Process Automation with Python
Python services and bots that take repetitive work off people's hands — and make the state of every run visible.
What this covers
- Moving data between systems through their APIs and webhooks.
- Checking incoming data and rejecting bad records with a reason.
- Processing that runs in the background through a task queue.
- Notifications and bots for the people involved.
- Interfaces to monitor and manage automated runs.
How it is built
- A queue separates intake from processing: the source gets an answer at once and the work runs at its own pace.
- A failure in one task does not stop the rest — it is logged and visible, not lost.
- Calls to external services are separate steps, so an outage on their side does not break data intake.
- Bots handle multi-step scenarios as state machines, with the dialog state stored between messages.
Technologies
- Python
- Django
- RabbitMQ
- REST API
- Bots
Related case studies
Case studies with this kind of work — each with an interactive model of the system.
Case 03 · Backend / Automation / Systems Integration
Business Process Automation
A platform for business process automation and integrations
Software that removes manual work: it takes data from several sources, checks and processes it, runs tasks and hands the results to other services.
Python · Django · RabbitMQ · REST API
Open the caseCase 08 · Automation / Backend / Integrations
Bots & API Integrations
Smart bots and automated services
Bots and automated programs that talk to users, external APIs and internal systems. A bot here is not a message window but a software system with business logic, state and integrations.
Python · Flask · REST API · PostgreSQL · Redis · LLM API
Open the case
How I work
Every project goes through the same steps. Scope, timing and cost are agreed after discovery, when the problem is clear. The contract and invoices go through my individual entrepreneurship registered in Armenia.
- 01
Discovery
We clarify the problem, the people who will use the result, the data and the systems involved.
- 02
Solution design
I propose an architecture and the scope of a first working version, and we agree on it before building.
- 03
Development
The system is built in small steps you can see and comment on.
- 04
Validation
Each part is checked with tests, real runs and a look at the edge cases.
- 05
Delivery
The result goes into your repository and environment, with an explanation of how it works.
Questions
Which processes are good candidates?
Repetitive steps with clear rules: collecting data from a source, checking it, passing it to another system and telling someone about the result.
What happens when an external service is down?
The task records the error, the failure shows up in monitoring, and the rest of the batch continues.
Have a system to build?
Describe the problem in a few sentences. I'll reply with questions and a proposed approach.