AI Automation
Add a model where a rule isn't enough, with guardrails we run ourselves.
What AI Automation does
Most automation is rules, and rules are great until the input gets messy. AI Automation is for the steps where a rule can't keep up: reading a freeform email and pulling out the order, sorting support tickets by what they're actually about, summarizing a document so a person doesn't have to read all forty pages. We add a model where it earns its place, and leave the rules alone everywhere else.
We know this part because we live it. Shield Suite runs production automation across more than 60,000 storefronts, so when we talk about what happens when a model is wrong at 2am, it isn't a slide. It's the thing we operate. Every AI step we build ships with scoped permissions, an audit trail, and a human checkpoint where the cost of a bad call is high. We build it dual-shore, document it, and hand you the keys.
Honesty first, as always. A model is not always the answer, and a model where a rule would do is just a more expensive way to get a worse result. We'll tell you when plain automation wins. Where AI belongs is the judgment-shaped work in the middle, and we put guardrails around it because we've had to.
Built around how the work actually runs
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A model where it fits
We add AI to the judgment-shaped steps a rule can't handle, and skip it where a rule is better.
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Guardrails we run ourselves
Scoped permissions, an audit trail, and a human checkpoint, the same controls behind Shield Suite.
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Human in the loop
Where a wrong answer is costly, a person reviews before it acts, by your rules not ours.
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Documented and yours
Built on your stack, handed over documented, so you own and can run what we ship.
Four ways to put the busywork on rails
Each one stands on its own, and they fit together when your work needs more than one. You own whatever we build.
AI Automation, answered
- What is AI Automation?
- It's automation for the steps a rule can't handle: reading a freeform email and pulling out the order, sorting tickets by what they're about, summarizing a long document. We add a model where it earns its place and leave the rules alone everywhere else.
- When do I not need AI for this?
- Often. A model where a rule would do is a more expensive way to get a worse result, and we'll tell you when plain automation wins. AI belongs in the judgment-shaped work in the middle, not everywhere.
- How is the AI kept under control?
- Every AI step ships with scoped permissions, an audit trail, and a human checkpoint where a wrong answer is costly. We run automation across 60,000+ storefronts ourselves, so these guardrails come from operating it, not theory.
- Do I own what you build?
- Yes. It's built on your stack, handed over documented, and yours to run. We build it and give you the keys, including the part most shops leave out: the documentation to run it without us.
See it on your own data.
Book a 30-minute demo. We'll walk through Shield Suite with your use case in mind.