Automation

The unglamorous option that pays back fastest.

Often the honest answer

The problem.

A great deal of what gets pitched as AI is conditional logic with a language model bolted on for decoration. It costs more to run, it is harder to debug, and it fails in ways nobody predicted. Most repetitive work only needs rules.

How it works.

A file lands, a form is sent Trigger
Same input, same output Rules
Update, send, file Action
Built before the automation Monitoring
Every day, without anyone Runs

Silent failure: alert

What we do.

  • Separate the parts of a workflow that need judgement from the parts that need rules.
  • Automate the rules deterministically, so the output is the same every time.
  • Reserve a model for the steps that genuinely need language or ambiguity.
  • Build the monitoring before the automation, so a silent failure is caught by an alert rather than discovered a quarter later.
When this is the wrong answer

The process changes every month. Automating a moving target means rebuilding it every month. Stabilise the process first, or accept that the maintenance is the real cost.