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What an AI agent for product support does
An AI agent for product support helps people troubleshoot the specific product they own. It works out which model they have, answers from your manuals and support articles with a link to each source, takes the steps you allow, such as opening a case, and brings in a person with everything already written down.
A week with a Lumora owner
Lumora makes home security cameras, video doorbells and hubs: about 40 models across four product lines, several of which look almost identical from the outside. Keiko has a Lumora doorbell, two cameras and a hub at home.
Saturday, 8:50 am: her own devices, front and center
Keiko opens help in the Lumora app, already signed in. She sees her four devices, update notes for her doorbell model and guides that match what she owns.
9:05 am: an answer for her doorbell, not a lookalike
Her doorbell stopped saving clips. She types that into the widget. The agent asks one question to tell the wired version from the battery one, because the fix differs, then replies from the storage guide written for that model, with a link to it.
9:15 am: she sorts it out herself
The guide walks her through the recording setting, one step at a time. She changes it, rings her own doorbell, and a new clip appears.
Wednesday, 7:40 pm: a problem no guide covers
One camera shows an error code she can't find anywhere. She sends Lumora a WhatsApp message, since that's the app her family and friends are on. The agent says plainly that no article covers this code and, since Lumora allows it, opens a case for the camera specialists, with her model, the code, the photo she sent and each step she tried. The case number and, next morning, Lumora's reply both arrive in that WhatsApp thread, and her account shows the case status.
Friday: a replacement she didn't have to argue for
Her hub keeps dropping offline. After two checks from the guide don't help, the agent checks the hub she registered in her account and confirms it's still under warranty. Lumora lets it start replacement requests, so it starts one for her and tells her what happens next. She follows it from her account until the new hub ships.
Monday: the team behind the agent fills a gap
Ana on Lumora's support team checks the questions the agent couldn't answer. Keiko's error code is there, from several owners. Ana writes up the fix, and from then on the agent can walk the next person through it.
What your customers can do
Start from the products they own
Signed-in customers see their registered devices first, with the guides, notices and updates that apply to those models.
Get a sourced answer at any hour
They describe the problem in their own words. The agent answers from your approved content for their model and links the page behind every step, so they can verify it.
Fix it without waiting in line
Fixes arrive as short steps to follow with the device in hand. Most problems end there.
Reach a person from the app they already use
Customers ask in web chat, your widget, WhatsApp, SMS or email. When the agent can't solve it, it opens a case where you allow it, with the full story, and your team answers in that same conversation.
Start a return or replacement, where you allow it
Where you allow it, the agent checks the registered product and its warranty and starts a return or replacement request. Customers track that request, and any open case, from their account.
What your support team gets
Every conversation the agent can't finish lands in one shared inbox, split into queues by product line or issue type. Your team claims cases, adds internal notes and passes one to a specialist with the whole transcript attached. Analytics point to the questions the agent left open and the models people ask about most, so you know what to document next and which faults to raise with engineering.
What changes when support runs this way
Owners stop getting fixes meant for a different model. Content carries its product line, model and part, and the agent asks before it guesses.
A fix is written once and reaches every channel. The same approved article answers people in chat, the widget, WhatsApp, SMS and email.
Help keeps going after your team logs off. The agent answers from your content around the clock and leaves anything it can't solve as a complete case for the morning.
Your specialists start on the fault, not on questions. Each case already holds the model, the error, the photos and the steps tried.
New problems get an answer within the week. Unanswered questions show up in one list, so a gap one owner hit gets closed before most others meet it.
Where the agent stops and your people start
The agent answers only from content your team approved and shows where each answer came from. You decide which actions it may take, like opening a case or starting a return or replacement request, and it takes no others. Each action is recorded next to the conversation that led to it. Anything needing judgment or an exception goes to a person with context, and your team can review every step.
Building your product support agent
- Gather your product knowledge. Connect manuals, release notes and troubleshooting guides from Confluence, SharePoint, Google Drive or your current help desk, or add them directly.
- Label by model. Mark content with product line, model and part so the agent can tell similar products apart.
- Connect customer context. Link Shopify for orders and bring in your registration records for owned products and warranty dates.
- Set what it may do. Choose the actions you allow and which queue each hand-off goes to.
- Pick your channels. Turn on web chat, the widget, email, WhatsApp and SMS as you're ready.
- Read the gaps weekly. Go through the unanswered questions and add what's missing.
Sources and channels it works with
Confluence, SharePoint, Google Drive, OneDrive and Notion for manuals and guides; Zendesk, Freshdesk and Intercom for existing articles; Shopify for order context; HubSpot for customer records; and web chat, email, WhatsApp and SMS for conversations. Anything else plugs in through webhooks, our API or the MCP server. It's one set out of 30+ connectors.
Related
- Warranty claim portal for the claims customers file themselves
- Multi-brand help center for several product lines under different brands
- Conversational AI assistants on MatrixFlows
- The best AI agent builders, compared
- AI support for complex high-tech products
- How to write support documentation an AI agent can use
| Product support agent on MatrixFlows | A standalone support chatbot | |
|---|---|---|
| Which product | Asks or looks up the model, then answers for that model only | One answer for every product that sounds alike |
| Where answers come from | Your approved manuals and articles, cited in each reply | Whatever it indexed from your website |
| Customer context | Registered product, order and warranty dates | Nothing beyond the chat window |
| Taking action | Only the actions you allow, each one recorded | Links to a contact form |
| When it can't help | Opens a case where you allow it, with the model, steps tried and photos | "Please contact support" |
| Channels | Web chat, widget, email, WhatsApp and SMS, one agent | A chat bubble on one site |
| Improving it | Unanswered questions listed for your team to answer | You find out from complaints |
Troubleshooting your products is part of the customer operations you run on MatrixFlows, alongside help for your partners in the field and your employees at work.