Automation Reliability
For automations that already exist and keep letting you down.
When this is relevant
It works, but someone checks it every morning
It fails silently and you find out from a customer
It creates duplicates you clean up by hand
It was built by someone who has left
It runs on a free tier that has started rate-limiting
Nobody is confident enough to change it
What a diagnostic covers
We take the existing workflow and establish what it actually does versus what it was supposed to do. Where it fails, how often, whether anyone finds out, and what it would take to make it dependable — including the honest answer where rebuilding is cheaper than repairing.
What implementation typically includes
- Retry architecture so transient failures resolve themselves
- Fallback paths for when a service is down
- Duplicate prevention at the point of creation
- Human approval gates on anything irreversible
- Exception handling that routes failures to a queue, not to nowhere
- Logging and observability so failures can be investigated
- Credential management that doesn't depend on one person's account
- Cost visibility on AI and API usage
- Monitoring and alerting
- Written recovery procedures
- Documentation for the whole system
What happens when it breaks
Failed steps queue and retry rather than disappearing. Duplicates are prevented at creation. Anything irreversible waits for human approval. If a workflow stops running, we get an alert — you don't find out from a customer. Every build ships with documentation and a written recovery procedure.
How we engage
Diagnose
From $750
Implement
From $2,500
Operate
From $1,000/mo