Sales & Support

Warranty claims sorted on arrival:
evidence checked before a person decides

A warranty claim that arrives as a half-written message with a blurry photo attached costs a support team far more time than the claim itself usually deserves. An agent collects the same structured intake every time, checks it against your warranty terms, and hands a person a ready file instead of a guessing game.

from$600
Timeline4 to 8 days
What is includedStructured intake form for product, issue and evidenceWarranty-terms rules loaded from your actual policyPhoto and document collection built into the chat flowAutomatic check against purchase date and coverage windowClean case file handed to a person before any decision
60-80%of claims arrive as a complete case file, typical range, instead of a back-and-forth
<2 minfor a claimant to submit a full claim with evidence, down from a multi-message chat
4-eyesevery claim decision, approve or deny, still made by a person

The process today

A warranty claim or complaint usually starts as a short, incomplete message: “this broke, what do I do”, sometimes with a photo, rarely with a purchase date or an order number attached. A support agent then spends several messages just getting the basics, product, issue, when it was bought, before there is enough information to even check whether the claim is covered. Teams that track this find that getting a claim to a decidable state often takes longer than the decision itself.

The second cost is consistency. Without a fixed intake, different agents ask for different evidence, apply the warranty window differently, and some claims get approved on weaker evidence than others simply because one agent was more thorough than another that day. That inconsistency is invisible until two customers compare notes, and it quietly erodes trust in the policy itself.

The third cost is the backlog. Complaints that need a document or a second photo sit half-open for days because the customer has moved on to other things, and the agent has no easy way to chase a specific missing item without re-reading the whole thread. A claim that should take a day stretches into a week, and the customer’s patience runs out well before that.

What the agent does

The agent runs the same structured intake on every claim: what product, what the issue is, when and where it was bought, and the evidence your policy actually requires, photos, a receipt, a serial number. It asks for exactly what is missing and nothing more, in the channel the customer already used, instead of a generic form that asks for everything up front and loses half the people who start it.

Once the intake is complete, the agent checks it against your warranty terms: purchase date inside the coverage window, issue type covered under the policy, evidence that matches what the policy requires for that issue. The result is a short, clear note attached to the case, “inside window, evidence complete, matches a covered defect type”, or “outside the 12-month window, flagging for review”, so a person opens a case that is already legible instead of a raw chat log.

The agent writes every case into your helpdesk or CRM as it comes in, with the claim, the evidence and the policy check attached, and chases a customer for a specific missing item (a clearer photo, a receipt) without a person needing to type the reminder themselves. Nothing is auto-approved and nothing is auto-denied; the agent’s job ends at handing over a complete, checked file.

What stays with humans

Every approval or denial is made by a person, every time, with the full case and the policy check visible before they decide. Anything that falls outside the standard rules, a borderline coverage date, a disputed defect, a customer asking for an exception, goes to a person as a flagged case rather than a quiet default either way. Refunds, replacements and any goodwill gesture beyond policy are decisions a human makes and a human communicates.

Guards

Every claim and its evidence are logged end to end, so a manager can review how any case was handled weeks later. The intake flow runs in a dry-run mode against a sample of recent real claims before it is allowed to talk to customers live, and a kill switch turns it off in one message if the terms check starts flagging things oddly. Claims above a value threshold you set are always routed to a senior reviewer rather than the first available agent.

Price and timeline

Option Price What it covers Timeline
Single automation from $600 One product line, intake flow, evidence collection, terms check 4 to 8 days
Department package from $2,500 Warranty intake plus refund handling and review replies across your support desk 2 to 4 weeks

Running cost is usually $20 to $70 a month in model usage depending on claim volume, with a budget cap set before launch.

This pairs naturally with refund and return handling, since a checked warranty case often ends in one, and with support ticket triage so complaints land in the right queue from the first message. See the AI agents service page and the automation-everything overview for the full package breakdown. For a live example of guarded, evidence-based decisions on a marketplace, see the digital goods marketplace case study and the ProBay AI agent team case study, where a margin guard checks every order the same way a terms check would check a claim.

Want claims that arrive as a complete file instead of a guessing game? Get in touch and send us your warranty terms.

Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →

FAQ

How much does warranty and complaint intake automation cost?

From $600 for one product line with a fixed intake flow and terms check, live in 4 to 8 days. Multiple product lines or a full after-sales desk with routing and escalation usually run $1,500 to $3,000.

How long before it is live?

4 to 8 days once we have your warranty terms and a sample of real past claims to test the intake flow against.

Which tools does it connect to?

Telegram, WhatsApp, email and your site's contact form on the intake side; Zendesk, Freshdesk, a CRM or a plain spreadsheet on the case-management side, with photos and documents stored wherever your team already keeps them.

What if the AI gets a claim wrong?

The agent never approves or denies a claim. It collects evidence, checks it against the terms you set, and flags anything that looks outside the policy, but the decision and the reply to the customer stay with a person who can see exactly what the check found.

Is customer evidence (photos, receipts) safe?

Evidence stays in the storage you already use, nothing is sent to a third party beyond the model call needed to read it, and every claim is logged so you can see who accessed what and when.

Start here

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