AI Automation Engineer

Ava turns restocking into a conversation, not a spreadsheet. It reads demand across the catalog, proposes what to buy, and — once a person approves the spend — places the order and handles supplier replies, shortages and questions on its own, escalating to the team only when something genuinely needs a human.

Guardrails — A person signs off before any money is committed; every step is reversible up to that point.

Iris looks for products that are losing money and makes sure each one is actually owned, not just reported. It figures out who should handle it, opens a task in their queue, skips anything already being worked on, and keeps a running view so nothing slips through between the finding and the fix.

Guardrails — Won't flood a queue — work is capped per run and de-duplicated against what's already open.

Mira answers the question "what's everyone else charging?" on demand. It returns ranked competitor listings — price, sales volume, ratings, and which are our own — and decides for itself whether the cached answer is fresh enough or a new scan is needed, so replies stay fast without going out of date.

Guardrails — Handles messy or empty results gracefully; never returns a half-formed answer.

Nora is the quiet layer everything else trusts. Marketplaces and warehouses each report stock their own way; Nora pulls them all in, resolves the conflicts, and publishes a single view that stays exact instead of drifting apart. When Ava decides what to reorder or Iris checks a margin, this is the source they're reading from.

Guardrails — Refreshes are safe to re-run, checked for duplication, and never overwrite data they shouldn't.