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Guardrails are part of the build

Every AI system we ship comes with written answers on what data goes where, who reviews what, what gets logged and how to shut it off.

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Oversight built into the software

Governance fails when it lives in a policy document nobody opens. So we build it into the software, where the review step is a screen someone uses and the off switch is a button your account can press.

Models change and providers update their terms, so our care plans revisit these settings on a schedule, the same way we handle security updates.

Ironlake Cartage

Dock times come from the geofence, so the invoice packet goes out with the signed POD and any detention already documented. Ironlake is a company we invented, so we could build its website and back office in full.

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Answered in writing first

  • What data goes where

    Which systems the AI can read and which provider processes the data, under what terms, on paper before anything is connected.

  • Who reviews output

    Which actions complete on their own and which always wait for a person. You decide with us where that line sits.

  • What gets logged

    What the system saw and did, and when, kept somewhere you can check for yourself.

  • How it fails and how it stops

    A clean hand-off to a person when the AI is unsure or unavailable, an off switch you operate yourself and a manual fallback your team already knows.

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Where the line sits

Where AI belongs

Work where a mistake costs a redo.

  • Drafts that people approve before they go anywhere
  • Answers drawn from content you control
  • Sorting and routing what comes in

Where we keep people, or say no

Work where a mistake costs far more.

  • Medical or legal advice delivered as answers
  • Hiring and lending decisions
  • Data you don’t have the rights to use

Questions

Will our data end up training public models?

The configurations we use are set so providers don’t train on your content, and we show you the terms themselves instead of asking you to take our word for it.

Can we see what the AI has been doing?

Yes. Logging is part of every build, and we design the log to be readable by you.

What would make you turn a project down?

Data the business doesn’t have the rights to use, decisions that shouldn’t be automated, or no one on the team to own the review step.

We set the rules for an AI system with you, in writing, before the first build

Bring your data and compliance questions to the first conversation, and the written scope answers each one.

Tell us what you need built

A person reads every request and replies within one business day.

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