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Operations
AI Returns Agent
Return requests get checked against your policy and answered with instructions immediately, day or night.
Return requests arrive at all hours, and each one means looking up an order, checking the policy and writing instructions. This agent does that work for you. It asks the customer only what it needs, checks the request against your return, refund and warranty rules, and sends instructions or a label when it qualifies. Anything unusual goes to a person with full context.
- Instant, policy-checked answers to return and exchange requests
- Return instructions or labels issued directly when a request qualifies
- Every decision logged against the rule that justified it
$3,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Returns Agent is a customer-facing agent that takes a return or exchange request, checks it against your written return, refund and warranty rules, and issues return instructions or a label directly when the request qualifies, escalating anything outside your rules to a person.
Why businesses buy it
Slow or inconsistent returns are one of the quickest ways to lose a customer's trust, and handling them by hand ties up your support team for hours each week. Different staff often apply the policy differently, which leads to disputes and refunds you did not intend. This agent answers instantly, applies your rules the same way every time and leaves a clear record. Edge cases still reach a person. The Scope Card fixes the channel, systems, rules and testing before you order.
Problems this solves
Return requests pile up in the inbox waiting for someone to check
The agent takes each return or exchange request on your chosen channel. It checks the request against your written return, refund and warranty rules straight away.
Staff apply the return policy differently from one request to the next
Up to 100 of your policy documents guide every decision, so the same rules apply each time. Qualifying requests receive return instructions or a label directly.
Unusual or high-value returns get approved without a second look
Anything outside your rules is escalated to a person. Up to six workflows carry your approval rules, and 50 documented test scenarios were run before launch.
A good fit if
You get a steady stream of return and exchange requests and currently answer most of them by hand, checking the same policy rules each time.
You have written return, refund or warranty rules that can be followed consistently, even if they currently live in a document rather than a system.
You want approved returns actioned directly, such as issuing a label or starting a refund, not just a chat that explains the policy.
You sell through a platform such as Shopify, WooCommerce, BigCommerce or Adobe Commerce and can grant read and write access for returns and refunds.
Not the right fit if
Most of what your customers ask about is where an order currently is, not whether it qualifies for return. See AI Order Tracking Agent, which gives customers proactive, accurate shipping updates.
You want routine store operations automated, such as tagging or fulfillment checks, rather than customer-facing return handling. See AI Ecommerce Operations.
You need more than two systems with write access, for example a separate warehouse system alongside your store and helpdesk. Add a note at checkout for a Custom AI inquiry.
Your return rules are still being decided and change week to week. This build follows written rules consistently; bring a settled policy first, or start with a Custom AI inquiry.
How it works
- A customer opens a return or exchange request on the one channel you chose, such as a returns page, chat widget or your helpdesk.
- The agent asks only what it needs: order number, item and reason, then checks the request against your written return, refund and warranty rules.
- Where the request clearly qualifies, it issues the return instructions or label directly, using read and write access to your store platform or helpdesk.
- Where a request sits outside the rules you set, such as past your return window or a high-value exchange, it is handed to a person with the full context attached, not just the raw message.
- Every decision it makes is logged against the rule that justified it, so any return can be traced back to the policy line that approved it.
- You review flagged edge cases and adjust the rules over time, which the agent then applies consistently on the next request.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Admin or API access to the connected systems, such as your store platform and your helpdesk, with sandbox or test records where available.
- Your written return, refund and warranty rules, including approval limits and any cases that must always go to a person.
- Ten real return or exchange conversations or emails, so the agent is tuned on requests you have actually received.
- The name of the approver for any return that needs a human decision, such as a high-value exchange.
- Your shipping, returns and refund policies in full, so instructions given to customers always match what you actually offer.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker on your side who can approve the workflow rules before launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, return and refund rules agreed.
Weeks 1–2
Return-handling workflows and policy checks built.
Week 3
Store platform and helpdesk connected with read and write access.
Weeks 3–4
Fifty documented test scenarios run against your written rules.
Week 4
Your review and two rounds of changes to the approval rules.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,900 |
| Express | 15–25 working days | $4,600 |
| Rush | 10–20 working days | $5,250 |
What you receive at handover
- AI Returns Agent configured and live on one customer channel
- Read and write connections to up to two systems, such as your store and shipping tool
- Up to six return workflows with your approval rules, using up to 100 of your policy documents
- A test report covering 50 documented scenarios
- An admin guide, a recorded 60-minute handoff and 30 days of post-launch support
Expected benefits and how to measure them
- Can give customers a quicker answer on their return
- Helps apply your policy the same way every time
- Frees staff to focus on the cases that need judgment
- Time from return request to instructions
- Compare request and reply timestamps in your helpdesk or agent log for four weeks before and after launch.
- Share of returns handled without escalation
- Count escalated versus completed requests in the agent's records each month.
- Staff hours on returns
- Ask the team to log return-handling time for a sample week before and after launch.
Before you start: Record how many return requests arrive each month and how long they take to answer. Estimate weekly staff time spent on them.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running the agent afterwards costs roughly $50 to $250 a month, covering AI model usage plus hosting, on top of your existing store platform or helpdesk plan. Stores with a steady but modest volume of return requests tend to sit toward the lower end of that range.
AI usage during the build and testing is also billed to your own accounts, so every provider relationship stays yours. Nothing runs through us.
Ask about running costsCustom requirements
If you need a third connected system, more workflows, or a second language, add a note at checkout. You get a written Change Quote, and your original order still runs on its normal timeline. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes and a monthly allowance of change hours, enough to adjust a return window or add a new rule. It starts after the thirty days of support included in the build, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A returns management app charges a recurring fee, often per return processed | A custom agency quotes after discovery calls | Ours is one fixed price, shown before you buy |
| Scope | A returns management app gives you a portal but you still write and apply the rules yourself | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Delivery | A returns management app can be live the same day but rule setup still takes real work | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Decisions | A returns management app applies rules you configure yourself in its interface | An agency build depends on what was agreed | Ours follows your written rules and hands anything unclear to a person |
Questions about this product
What does the AI Returns Agent build include?
It covers connecting your store platform or helpdesk, building the policy-checking workflows, fifty documented test scenarios, two rounds of changes and a recorded handoff session. The fixed price and faster delivery options are shown on this page before you order, and every limit is written on the Scope Card, so nothing is left open to interpretation.
How much does AI Returns Agent cost to run each month?
Roughly $50 to $250 a month, covering AI model usage plus hosting, on top of your existing store platform or helpdesk plan. You pay that directly in your own accounts. Stores with modest return volume and two connected systems typically land toward the lower end of that range.
How long does AI Returns Agent take to launch?
Delivery follows a fixed schedule shown before you buy, with express and rush options if returns season is close. The clock starts once your written return rules, system access and sample conversations are confirmed, usually within 72 hours of ordering. You see the fifty test scenarios and their outcomes before customers use the agent.
Can AI Returns Agent actually issue a return label or refund?
Yes, when the request clearly qualifies under your written rules. It has read and write access to the up to two connected systems you choose, such as your store platform and helpdesk, so it can issue instructions or start a refund directly, not just explain the policy to the customer.
What happens when a return does not fit the rules?
It is handed to the approver you named during setup, with the order details and the reason the request did not clearly qualify attached. Nothing is approved by guessing. The agent only acts within the up to six workflows and the approval rules you set during intake.
Can I change the return rules after launch?
Yes. Adjusting a return window, a refund limit or adding a new rule fits inside the monthly change hours of optional maintenance. A third connected system or an entirely new workflow is handled as an add-on or a Change Quote.
Who owns the workflows AI Returns Agent builds?
You do. The policy logic, the workflows and the connections live inside your own store platform and helpdesk once delivered, not inside a system we control. If you later change providers or bring the work in-house, nothing about the workflows is locked to us.
Guides on this topic
All guides Answer every return request the same way, instantly.
Order AI Returns Agent and every return request is checked against your policy and answered consistently, starting on a fixed delivery date.
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