The platform
Not a chatbot.
An operating system.
Audrex is built as infrastructure: a multi-agent system that understands your store, acts inside defined authority, and produces evidence for every decision it makes.
01 — GROUNDED ANSWERS
Your store's truth, not the model's guess
Product claims come from your synced catalog. Policy answers come from your knowledge base. When retrieval finds nothing, the agent escalates instead of improvising.
kb.retrieve("returns policy") → doc #d41 · sim 0.93
catalog.search("trail shell") → 3 results · in stock
kb.retrieve("price match") → no source → escalate
02 — SCOPED ACTIONS
Authority is explicit, always
Agents act through typed tools with per-agent allowlists. A sizing agent can't touch orders. Adding an agent never widens the blast radius.
catalog.searchkb.retrieveinventory.check
orders.exchangerefunds.createcustomer.update
orders.exchange → denied: outside agent scope
03 — OBSERVABILITY
Every conversation is a replayable trace
Routing decision, tools called, latencies, sources cited, outcome — recorded per conversation. Debug a bad answer in minutes, prove a good one instantly, and feed what you learn back into agent instructions.
trace conv_8f3a41 → 7 spans · 1.9s · resolved
trace conv_8f3a52 → 4 spans · 0.8s · resolved
trace conv_8f3a5e → 2 spans · escalated
04 — HUMAN CONTROL
Take over in one click
Confidence thresholds and escalation rules route edge cases to your live inbox — with the full trace attached, so your team never starts cold.
confidence 0.41 < threshold
→ escalated · inbox #214
05 — COMMERCE-NATIVE
Built on Shopify primitives
Catalog sync, theme-extension widget, app-proxy security, order workflows — native from day one, not bolted on.
storefront widgetcatalog syncapp proxy
06 — REVENUE SIGNAL
CX that proves its P&L
Automation rate, handling cost saved, and recommendation-to-order attribution — your CX becomes a measurable line item, not a cost center.
$6.00 saved / automated conv
↑ 1 attributed order today
07 — ALWAYS CURRENT
Learns your store continuously
Product webhooks keep embeddings fresh. Change a price, publish a product, update a policy — agents know within moments.
products/update → re-embedded · 1.2s