AI receptionist for small business: calls, bookings and handoffs
What an AI receptionist does on a real call, the rules that apply, a sample greeting and a pass/fail checklist to launch one safely.
Refund requests checked against your policy, prepared for approval, and never left sitting in a queue.
Refund requests pile up because each one needs the same checks: is it inside the return window, what condition is the item in, how much is it, and who signs off. This workflow runs those checks against your written policy, issues the clear cases inside the limits you set, and sends the rest to your approver with a summary. Customers hear what happens next straight away.

AI Refund Workflow reads an incoming refund request, checks it against your return window and policy rules, and prepares the approval or decline for your team or acts on it directly where you allow it. It runs inside your helpdesk and logs every decision. Customers are told the outcome or the next step in plain language.
A slow refund is one of the quickest ways to lose a customer's trust, and an inconsistent one invites disputes and chargebacks. When refunds sit in a shared queue, the decision depends on who picks the ticket up. After launch, every request is judged against the same written policy, routine ones are settled quickly, and your approver sees only the cases that need them. The Scope Card spells out the connected systems, refund workflows and approval thresholds before you order, so you decide exactly where the automatic line sits.
The workflow reads each refund request and checks it against your return window and policy rules. It prepares the approval or decline for your team, or acts directly where you allow.
Every request is judged against the same rules, configured as up to six workflows with your approval. Customers hear the outcome or next step in plain language.
Every decision is logged inside your helpdesk with the rule that applied. You can review past decisions and adjust policy with real cases in front of you.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,900 |
| Express | 15–25 working days | $5,750 |
| Rush | 10–20 working days | $6,600 |
Before you start: Record a month of refund requests, average time to decision and how many decisions were later reversed.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build price is one-time. Running AI Refund Workflow costs roughly $50 to $250 a month in AI model usage and hosting, on top of your existing order or payment platform fees. Higher refund volume, or more connected systems, sits toward the top of that range.
AI usage during the build and afterwards runs through your own accounts, so you see exactly what you are paying and to whom.
Ask about running costsIf you need more than six refund workflows, a third connected system, or a rule this Scope Card does not cover, add a note at checkout. You get a written Change Quote, and the work only starts once you accept it. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionMonthly maintenance covers monitoring, fixes and a monthly allowance of change hours for things such as a seasonal policy update or a new approval rule. It starts after the post-launch support period, 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 works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A helpdesk refund add-on bills per seat or per automation run | A custom agency quotes after discovery calls | Ours is one fixed price, shown on this page before you buy |
| Scope | A generic workflow tool needs your policy rules built in manually, step by step | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Delivery | An automation platform can connect in days but still needs the logic configured | An agency build usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Approval control | Most tools either auto-approve everything or route everything to a person | An agency build depends on what was agreed | Ours splits refunds by your own approval threshold automatically |
Yes, for requests that clearly qualify under your policy and sit inside the approval limit you set. Anything above that limit, or anything ambiguous, is prepared as a summary and sent to the approver you name. You control exactly where the automatic line sits, and can move it at any time.
Roughly $50 to $250 a month, covering AI model usage and hosting for the build itself. That is separate from whatever you already pay for your order or payment platform. You pay these providers directly, in your own accounts, with no per-refund fee charged by us.
Delivery runs on a fixed schedule from a verified intake, and the exact date is shown in the delivery panel before you buy, with express and rush options if you need it sooner. Every option includes the same fifty test scenarios and a recorded handoff session before the workflow goes live in your helpdesk.
Admin or API access to your order platform and, usually, your payment processor, so refunds can be checked and issued correctly. Sandbox or test records work fine for the build itself. Every credential is shared by adding our team as a user or creating a key you control, never sent by email, and can be revoked whenever you choose.
Yes. The disclosure wording is agreed with you during intake and shown at the start of the interaction. If a customer wants a person instead, or the request needs judgment outside your rules, it hands off with the full request history attached.
Yes, through monthly maintenance. It covers monitoring, fixes and a monthly allowance of change hours, enough for seasonal policy shifts or a new approval rule. You can cancel any month. Maintenance starts after the post-launch support period. For a rule change, send the updated refund policy in writing, including who can approve what amount.
It is routed to the person you named as approver, with the order details, the customer's message and the reason it did not auto-qualify attached. Nothing is refunded automatically outside the rules you set. This keeps you in control of every unusual or high-value case.
Order AI Refund Workflow and every refund request is checked the same way, settled quickly when it qualifies, and routed to your approver when it needs a closer look.

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