AI Automation Consulting
Most AI automation dies the moment it meets real traffic — a demo that works once, then breaks quietly at 3 a.m. with no one watching. The value is in automation that runs unattended for months: retries, monitoring, and failure handling built in from the start, not bolted on after the first outage.
What you get
Automated workflows
The manual, repetitive process — data entry, reporting, triage, follow-up — turned into a pipeline that runs on its own.
AI in the loop
Language models handling the judgment steps a rules engine can't, with guardrails and human approval gates where they matter.
Built to survive
Monitoring, alerting, retries, and idempotency so the automation keeps running — and tells you the moment it doesn't.
How I work
Every automation ships with the reliability work most vendors skip. That comes from thirteen years keeping production systems online, where an unattended job that fails silently is worse than no automation at all.
FAQ
What kinds of tasks can be automated?
Anything repetitive and rule-shaped — data collection, enrichment, reporting, monitoring, and multi-step workflows — plus the judgment steps in between, handled by AI with guardrails.
How is this different from a no-code automation tool?
No-code tools break at the edges and can't be debugged when they do. This is real, owned software — versioned, monitored, and built to run in production without babysitting.
Do you monitor what you build?
The build includes monitoring and alerting so failures surface immediately. Ongoing operation can be handled on a retainer if you'd rather not own it.