What this solves
Manual work that is costing more than you think.
Reporting that takes days.
Compliance reports, risk summaries, regulatory submissions — compiled manually from multiple systems by someone who should be doing something else.
Data that moves too slowly.
Inventory updates, order data, customer records — sitting in siloed systems that do not talk to each other. Your team is moving data by hand.
Errors in manual processes.
When a person is in the loop for a data operation, mistakes happen. Those mistakes compound. Automation removes the person from the loop where it is safe to do so.
What we build
Automation that is reliable and maintainable.
Reporting automation
Scheduled pipelines that pull, transform, and deliver reports without a person in the loop. Compliance reports, weekly summaries, board packs — automated end-to-end.
System integration
Connect your CRM, ERP, payment systems, and data warehouse. Data flows between systems automatically, eliminating manual export-import workflows.
Alert & monitoring workflows
Automated alerts when key metrics cross thresholds. Your team gets notified when something needs attention, not when it is already a problem.
Data pipeline automation
ETL pipelines built with n8n, Python, or dbt that move data from source systems to your warehouse on a schedule or in real time.
How it works
Map, build, and monitor.
Process mapping
We document every manual step in the process you want to automate — data sources, transformations, outputs, and edge cases. No assumptions.
Build & test
We build the automation, test it against real data, and stress-test edge cases. You see it running before it goes live.
Monitor & maintain
We set up monitoring, error alerts, and documentation. You know the moment something breaks, and you have the playbook to fix it.
“Compliance reporting went from 3 days to 4 hours.”
An Irish payments company had a risk team compiling compliance reports manually from five source systems. It took three days per week. One upstream change could invalidate hours of work.
We built an automated pipeline using n8n connecting all five sources, with a centralised data store, anomaly detection, and scheduled report delivery. No manual steps remain.