Business process automation and integrations
If your team copies the same data between tools or repeats the same steps every day, we can turn that work into an automated process. We start with one specific task and plan for what happens when something fails.
Tasks we can review together
Copying data between tools
Moving contacts, orders or records between systems. We identify the information each tool needs and when it should be updated.
Sending notifications and preparing reports
Alerts when a request arrives or a status changes, and gathering data for reports you currently prepare manually.
Connecting your website to daily operations
Continuing what starts in a form: saving the information, notifying the right person or starting an internal process.
How I approach an automation
Understand the task and its rules
We identify what starts the process, the required data, its frequency and the exceptions. We agree on the work that should be handled by the automation.
Connect and test
I review the APIs, permissions and limits of the tools involved. Then I build and test the workflow for both normal use and possible failures.
Make the process observable
Depending on the scope, we include records, failure notifications and retries so you can see what happened. We also agree who maintains it if an external tool changes.
Reamly Worker: from the cloud to a local printer
The worker finds printers, runs jobs sent from the cloud and reports their status. It works on Windows, macOS and Linux, reconnects when the network returns and updates itself. It demonstrates an integration between web services and local devices.
Explore the projectPricing and how we work
To prepare a quote I need to understand the task, tools, frequency and exceptions. We can start with one bounded workflow and expand later. The proposal identifies the development work, any platform costs and the agreed maintenance.
Discuss my project on WhatsAppFrequently asked questions
Do I need to replace my current tools?
Not necessarily. I first check whether they allow data access or provide an API. Some integrations have limitations or require a particular provider plan.
Does automation require AI?
It depends on the task. Moving data, applying rules or sending notifications often only requires a conventional integration. If interpreting content is part of the task, we can assess whether AI helps and how its output would be checked.
What happens when a tool stops responding?
We define how to handle failures: notifications, retries or manual review, depending on the process. This is planned alongside the main workflow, especially when an operation could be duplicated.
How do we know whether automation is worth it?
We review how often the task happens, how long it takes and the consequences of mistakes. An occasional task may not justify development; starting with a repeated process makes the benefit easier to evaluate.