Products
We start with one painful workflow, prove the trust architecture, then expand the same operating model across support, voice, knowledge, and back-office work.
AI customer support employee for Shopify brands.
Inbox investigates customer conversations with Shopify context, approved knowledge, preflight checks, and approval routing before a reply reaches a customer.
Phone support that follows the same evidence and approval rules.
A future commerce voice employee for order status, delivery questions, returns, and handoff-ready cases.
Approved memory for product, policy, and brand voice.
A shared knowledge layer for future AI employees so answers stay consistent across channels.
Back-office commerce work with approvals and auditability.
A future employee for fulfillment exceptions, returns operations, customer follow-ups, and internal task routing.
Shared architecture
Each product uses the same simple rule: collect evidence, prepare the action, validate it, ask for approval when needed, and keep the record.
01
Connect to the systems where commerce work happens: inboxes, stores, knowledge, shipping, returns, and billing.
02
Resolve the customer, order, policy, prior cases, brand voice, and missing information before drafting or recommending.
03
Draft the reply, classify the case, recommend a next step, or gather evidence for a human decision.
04
Run grounding, citation, recipient, policy, PII, and prompt-injection checks before anything reaches a customer.
05
Keep sensitive actions like refunds, replacements, discounts, and policy exceptions under human control.
06
Record the context, draft, actor, approval, send, and repair path so trust can be reviewed later.