Give the week back to your team. Same volume. Fewer people.
Repetitive processing, data entry and reporting run in the background — no one driving them, nothing forgotten.
The symptoms, as clients describe them.
- Someone spends Monday morning copying numbers between two systems.
- Invoices are keyed in twice, and the two versions disagree.
- A follow-up gets missed and nobody notices until the client does.
- Your Zapier bill grows faster than the volume it handles.
Concrete deliverables, not a capability list.
Process automation
End-to-end flows across the systems you already run, with retries and exception queues.
Unattended RPA
Bots driving applications with no API, scheduled and monitored like any other service.
Document & mail automation
Email-triggered extraction, validation against a master list, and routing for approval.
Error handling & monitoring
Every operation logged, failures alerted to a human, and an audit trail by default.
A disciplined process. No fixed opinion about the tool.
- 1
Discover
We sit with the people doing the work and map the process as it actually runs — not as the org chart says it does.
Process map
- 2
Diagnose
Root causes, volumes and the cost of the status quo, so the business case is arithmetic rather than opinion.
Business case
- 3
Build
Right tool for the job, built with error handling, logging and handover documentation from day one.
Working system
- 4
Launch
Piloted against real data and rolled out with your team, with training so adoption isn’t left to chance.
Handover pack
- 5
Operate
Monitoring, fixes and iteration — the system keeps earning after go-live, or we hear about it first.
Support line
Work we have already shipped.
Invoicing without a human touch
Creation, validation and dispatch automated end to end, logged to PostgreSQL with audit trails.
Operations80% fewer scheduling errors
Bidirectional Notion ↔ Google Calendar sync with change detection, duplicate prevention and rate-limit handling.
Sales15,000+ emails a week
Lead sourcing, Apollo enrichment, a custom scoring algorithm and campaign dispatch, orchestrated end to end.
n8n
Zapier
Make
UiPath
Python
PostgreSQL
- Power Automate
- ElectroNeek
Before you ask us.
A Sprint on one well-defined process is typically two to four weeks from discovery to live, including the pilot against real data.
Then it gets an RPA bot driving the interface directly, with the same logging and error handling as an API integration. Epicor, legacy ERPs and desktop tools are routine.
You do. Handover documentation and training are part of the build, and every flow is logged so your team can debug it without us.
Nothing silent. Failures raise an alert with the log attached, and the Operate stage covers the fix.