Jason Ki|AI Studio
Two — Automate

Automation Studio

A small AI team, on retainer, that actually maintains itself.

The hard part of AI automation isn't the build — it's the maintenance. Models change, prompts drift, edge cases surface. This is a productized engagement that handles both: a clean build, then a monthly retainer that keeps the system honest.

Best for
  • Lead triage and qualification from inbound channels
  • Content drafting and scheduling pipelines
  • Internal reporting and dashboard automation
  • Customer support triage with human-in-the-loop
  • Ops workflows that should have been automated last year
How it works
  1. 01

    Discovery sprint

    Two weeks to map the workflows, instrument the inputs, and produce a fixed-bid scope. You leave with a plan whether or not we keep going.
  2. 02

    Build

    Two to eight weeks depending on scope. I write the system, the evals, and the dashboards. You see progress weekly.
  3. 03

    Retainer

    Monthly. Monitoring, eval runs, prompt tuning, model migrations, and a budgeted block of hours for changes. Pause anytime — once per year, up to thirty days.
What you get
  • Production-ready automations with monitoring + evals
  • Custom dashboards for visibility into agent behavior
  • Documentation and runbooks for your team
  • Ongoing tuning, model upgrades, and changes via retainer
Probably not the right fit if

If you want a one-time build and walk-away. The retainer is the point — agents drift, and the studio that built them is the right team to keep them honest.

Next step

Tell me about the work.

Every engagement starts with a free 20-minute call. The more specific your message, the faster I can tell you whether I’m the right fit.

Start the discovery
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