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Systems

AI automation and custom builds

The interesting part of AI is what happens when a workflow that used to eat six hours a week stops existing. I build the unglamorous internal machinery: content pipelines, research agents, reporting that assembles itself.

by sean garschi · founder of growthr · ny · la · sf

What is ai automation & custom builds?

AI automation replaces the repeated manual steps in a marketing or content operation, sourcing, drafting, tagging, routing, reporting, with systems that run without a person babysitting them.

What you get out of it

  • Hours per week returned to the people who do the creative work
  • Output volume that scales without headcount
  • Data that lands in one place instead of six tabs
  • Tools your team actually opens on Monday

What's included

Workflow audit

Every repeated manual step, timed and costed. Most teams are shocked by which one is actually the expensive one.

Agent and pipeline builds

Scoped systems using current models with real evaluation, not a prompt in a spreadsheet.

Internal dashboards

One screen that answers the question you keep asking in Slack.

Handover

Documentation and a loom so the system survives without me.

How it runs

  1. 01

    Map

    Shadow the work. Find the step that costs the most and breaks the most.

  2. 02

    Scope

    Pick the smallest build that removes the most hours.

  3. 03

    Ship

    Working system in production, used by real people, in weeks.

  4. 04

    Tune

    Measure, correct, and expand only where the numbers justify it.

Frequently asked

What kinds of automation deliver the fastest payback?+

Anything a person does more than twice a week from a template: content repurposing, inbound triage, competitive monitoring, reporting assembly, and asset tagging. These pay back inside a month.

Do I need an in-house engineer to maintain it?+

No. Builds are handed over with documentation and are designed so a non-engineer can run them day to day. Anything requiring engineering supervision gets flagged before it is built.

Which models do you build on?+

Whichever is genuinely best for the job at build time, with the provider abstracted so swapping models later is a config change rather than a rewrite.

got something to build?

Interactive builds, growth systems, or getting found by both Google and ChatGPT. Tell me what the moment is and when it lands.