Agents that do the work,not just talk about it.
Deploy autonomous agents that understand commerce intent, reason against your policies, and execute real actions across orders, returns, subscriptions, fulfillment, CX, and finance operations.
Live agent run
Return exchange request
Intent
Customer wants a size exchange before the return window closes.
Policy
Eligible: unworn item, 23 days since delivery, SKU in stock.
Action
Exchange created, label generated, inventory reserved, ticket closed.
Audit
Inputs, decision, writebacks, and customer response logged.
A digital operations team for the commerce stack
Each agent owns a workflow family, shares context with the rest of the system, and escalates only when policy or risk requires it.
Orders Agent
Edits orders, cancels requests, validates addresses, checks fraud signals, and updates Shopify, ERP, WMS, and helpdesk records.
Returns Agent
Approves returns, suggests exchanges, creates labels, enforces policy, and reconciles refund decisions with payments and inventory.
Subscriptions Agent
Handles skips, swaps, cancellations, failed payments, retention offers, and personalized save flows inside your guardrails.
Fulfillment Agent
Tracks shipments, resolves delivery exceptions, coordinates warehouses, creates reships, and escalates carrier issues with context.
CX Agent
Resolves email, chat, social, and voice conversations with order context, brand tone, customer history, and auditable actions.
Finance Ops Agent
Prevents avoidable refunds, flags risky exceptions, supports chargeback evidence, and keeps revenue-impacting decisions traceable.
From customer intent to completed work
StateSet agents are built around an execution loop: understand the request, validate the decision, write to systems, and measure the result.
01
Understand intent
Agents classify what the customer or operator needs and gather the right order, policy, customer, and inventory context.
02
Reason against policy
Every decision is checked against refund rules, eligibility windows, margin thresholds, fraud risk, and escalation criteria.
03
Execute across systems
Approved actions write back to Shopify, helpdesks, ERPs, WMS, subscription tools, payment providers, and carrier portals.
04
Measure the outcome
StateSet logs the action, evaluates quality, monitors drift, and improves the agent from completed operational outcomes.
Not a chatbot. Not a macro. An operator.
The difference is write authority, policy control, and accountability for the finished business outcome.
Primary job
Traditional automation
Answer, route, or draft
StateSet agents
Resolve the operational outcome
System access
Traditional automation
One helpdesk or chatbot surface
StateSet agents
Commerce stack, APIs, and browser workflows
Control model
Traditional automation
Prompt instructions and QA after the fact
StateSet agents
Policy checks, approvals, evals, and audit trail
Scaling model
Traditional automation
Add seats, macros, and offshore capacity
StateSet agents
Increase autonomous throughput under fixed guardrails
Autonomy with production guardrails
The point is not to remove judgment. The point is to encode the judgment your best operators already use, then execute it consistently.
Policy bounded
Refunds, discounts, cancellations, exceptions, and escalations follow rules your team approves.
Human approval when needed
High-risk actions can pause for approval while low-risk work continues autonomously.
Auditable by default
Every decision includes inputs, policy checks, system actions, and final outcome.
Production monitored
Evals, sampling, rollback paths, and exception queues keep agents operating inside tolerance.
24/7
agent coverage across active channels
2s
typical execution time for simple actions
100%
policy-checked actions before writeback
0
seat licenses required to scale volume
Put autonomous agents on your highest-volume workflow.
Start with orders, returns, subscriptions, fulfillment exceptions, or CX. StateSet will map the workflow, encode your policy, connect your systems, and launch with measured controls.