Automate
AI that still works at 3am, on messy input.
AI implementation is taking an AI idea out of the demo and into daily work, where input is messy, services fail, and a person checks the cases the model is unsure about. It is for businesses that tried a pilot that never shipped, or that want AI to take repetitive work off their team. Kief Studio builds quality-gated automation and runs it for you on LTFI, so nothing is installed on your side.
What we do
- Pick the workflow, define what good output looks like, and measure how it runs today.
- Build the automation with retries, error handling, and quality gates on every output.
- Keep a human path for anything the model is unsure about.
- Run it for you on LTFI and report what it handled and what it sent to a person.

Who it is for
Teams with repetitive work that follows rules most of the time, and leaders who want an AI project that is still running long after the demo.

When to look elsewhere
Demo-only chatbots, or projects meant to replace staff with AI. We build systems that remove bottlenecks, and your people drive the work.
AI automation: common questions
Do we install LTFI?
No. LTFI is the system we run your automation on, and we operate it for you. Your team uses the results. The sales page for LTFI is ltfi.ai.
Will this replace our staff?
No. We build automation that removes bottlenecks, not people. Your team drives the work, and the system hands them the exceptions that need a human decision.
What does production mean here?
It means the system handles messy input, retries when a service fails, logs what it did, and sends uncertain cases to a person. A demo on clean data is not a system.
How do you stop bad AI output from shipping?
Every output passes quality gates before it goes anywhere: checks for accuracy, format, and tone, with a person reviewing what fails. We wrote DeSlop, so we take this part seriously.