How it works
A system, not a collection of scripts.
The same shape underneath every engagement. What changes between clients is which nodes exist, not how they are held together.
Business input
The Unbroken Data system
Data
Monitoring and validation
Business result
Automation
What one automated run actually does.
Eight stages. Six of them exist because of a failure that happened once and was allowed to happen only once.
Trigger
A schedule, a webhook or a person asking.
Validate
Input checked before anything downstream is touched.
Fetch
Source called, with transient errors retried and real ones raised.
Process
Parsed, normalised, reconciled against what was already held.
Decide
Business rules, or a model where a rule cannot express it.
Store
Written once, counted before and after, rejected if the counts disagree.
Report
Dashboard updated, scheduled report sent.
Monitor
Freshness checked, and someone told if the run never happened.
Working together
Six steps, and you can stop after any of them.
Understand
Identify the repetitive or data-heavy problem, and whether it is worth automating at all. Sometimes it is not, and you will be told so.
Design
Map the workflow, the systems it touches and the points where it will fail. The failure points are the design.
Build
Write the automation, the assistant or the pipeline, with the checks that make a later failure visible built in from the start.
Validate
Test the edge cases and the silent paths — the ones where a bug produces no error, only wrong data.
Deploy
Into production on your infrastructure or mine, restarting itself after failure and after reboot.
Monitor
Watch that it keeps working, and hear it from us before you notice the gap yourself.