Services

AI automation services for Austin teams.

Austin Automation helps small businesses and early-stage teams automate repetitive work, implement practical AI, and hand off systems your team can own. Most engagements start with a short audit and grow from there.

01
Offering

Automation Consulting

Stop running the business on copy-paste.

Most teams have five to fifteen processes they run by hand every week — onboarding, invoicing, reporting, ops handoffs. I find them, prioritize them, and build automations that hold up in production.

What's included
  • Workflow audit & opportunity map
  • Tool & stack recommendations (n8n, Make, Zapier, custom code where it pays off)
  • Built and tested automated workflows
  • Team training and runbooks
02
Offering

AI Implementation

An ongoing read on what AI is actually worth using.

The AI landscape moves weekly. Most of it is noise; some of it would change how your business runs. I keep watch, surface what matters for your specific operation, and help you put it to work without a six-month rollout.

What's included
  • Quarterly AI tool scouting report tailored to your work
  • Use-case identification & prioritization
  • Pilot implementations and adoption support
  • Guardrails, prompts, and process documentation

For local-intent details, service-area fit, and Austin-specific examples, visit the AI Automation in Austin page.

Good fit?

I work best with…

Small businesses

Teams of 2–50 where the founder or ops lead is still doing too much manual work.

Early-stage startups

Pre-Series-A teams who need leverage now without hiring a full ops department.

Service businesses

Agencies, consultancies, and firms with repeatable client workflows ripe for automation.

FAQ

Common service questions.

What AI automation services do you offer?

Austin Automation maps repetitive workflows, builds automations in tools like n8n, Make, Zapier, and custom code, and implements practical AI for intake, reporting, research, scheduling, and customer follow-up.

Do small businesses need a custom AI system?

Not always. The first step is usually a workflow audit that separates simple automation wins from cases where AI adds real leverage. The goal is to ship the smallest reliable system that saves time.

Can you work with an existing stack?

Yes. Most projects connect the tools a team already uses, then add custom code or AI only where off-the-shelf automation cannot cover the workflow cleanly.