Departments · Customer Service

Answers at the speed of the conversation

Give agents, and customers themselves, instant, sourced answers from product data, order systems and policy documents. No escalation queues for questions the AI can settle in seconds.

Try the concierge demo → Get in touch
Quick answer

AI in customer service works when it answers from your own systems rather than a script. Neuro gives agents and customers instant answers drawn from product data, order systems and policy documents, cites the source of every claim, and hands the conversation to a person the moment it stops being a lookup.

Use cases

What customer service teams run on Neuro

Deflect the questions that shouldn't reach an agent

Store hours, return windows, delivery options, membership perks, answered instantly in the brand voice, grounded in the actual policy text.

AI ConciergeLive demo →

Identify the part from a customer's photo

“What is this and what replaces it?”, customers photograph the old part; the finder identifies it and matches the exact SKU, including discontinued third-party numbers.

Product FinderLive demo →

Triage warranty vs repair on policy, every time

The AI reads the warranty terms, checks the purchase window and drafts the on-policy response, agents review and send instead of researching.

AI ConciergeLive demo →

Settle “which one should I get?” before it becomes a ticket

Customers compare your own products with their situation factored in, and get an honest verdict instead of a spec dump.

Comparison EngineLive demo →

Hand off to a human with full context

When a conversation needs a person, frustration, edge cases, high value, the AI escalates with the full transcript and a one-line summary attached.

AI ConciergeHow it works →

Give agents one search over every internal source

Policies, product specs, past case notes and process docs, agents ask once and get a cited answer, instead of tab-hopping mid-call.

Neuro SearchLive demo →
The full map

Everything Neuro does for customer service

Use cases

Every ticket
Warranty replies draftedOrder lookups Returns policy citedRefund rules Delivery windowsEscalation notes
Self-serve
Product findersGuided troubleshooting Spec questionsAccessible help docs
Quality
Tone-checked draftsCited answers only Honest not-in-sourcesCSAT follow-ups

AI for customer service

Neuro modules
AI ConciergeProduct Finder Comparison Engine
Capabilities
Order-aware contextPolicy citations Draft repliesPhoto product match Multi-language readyHandoff summaries
Signals
Ticket spikesDefect clusters Refund anomaliesResponse-time drift

Connects with

Support desk
Commerce & comms
Your systems
Drafted, not composed

The first reply writes itself, policy attached

A cracked screen in week two lands in the queue, and by the time an agent opens it the order is pulled, the warranty clause is quoted and the reply is waiting for one click of review.

  • Warranty window checked against the actual order date
  • The policy clause is quoted in the draft, never paraphrased
Before the ticket exists

Customers ask the site and the site actually answers

Order status, a spec question, the return window for an opened box: three tickets that never get filed, because the widget reads the order system, the catalog and the policy library live.

  • Order-aware: it reads the tracking feed, not a canned macro
  • Every policy answer cites the section it came from
An honest verdict

“Which one should I buy?” settled in one screen

Two headphones from the same catalog go head to head, each row scored on its own merits, and the verdict reads like a reply a customer would forward to a friend, not a spec dump.

  • Recommends the cheaper model when it genuinely wins
  • Every row scored on its own line, no marketing gloss
The photo is the ticket

The AI sees the photo, finds the order, drafts the reply

A customer attaches one photo of earbuds that will not charge, and that photo is enough: the AI recognises the model, pulls the matching order from the account and has the warranty answer drafted before an agent even opens the thread.

  • The product is identified from the image, no model number needed
  • Order and warranty are matched before the reply is written
Readable for everyone

Every help page and policy PDF, readable by every customer

The retailer's help center and return-policy PDFs get swept end to end: missing alt text written, low-contrast text lifted, vague headings sharpened and reading order repaired, so screen-reader users get the same answers as everyone else.

  • Every issue is pinned to the exact spot on the page it lives
  • Fixes are applied to the source docs, not bolted on after
The path

From ping to fixed in four moves

STEP 01

Question lands

Web chat, email or the help center: the question arrives wherever the customer already is, in whatever words they use.

STEP 02

Context assembles

Order history, the catalog entry and the relevant policy section load before a single word of the answer is written.

STEP 03

Reply drafted, cited

The answer is written in the brand voice with the policy line quoted, so the customer sees the rule, not a paraphrase of it.

STEP 04

Human sends or automates

Agents review and send, and once a reply pattern has proven itself, it graduates to fully automatic with spot checks.

Watch it work

Three service moments, handled

The stack

The tools this team uses

AI Concierge

The customer-facing front line, grounded, guard-railed, on-brand.

Tool page →

Product Finder

Photo, description or model number to the exact SKU.

Tool page →

Comparison Engine

Honest side-by-side verdicts that end the which-one tickets.

Tool page →

See it on your support queue

The demos run on seven fictional companies. In production, Neuro runs on your catalog, your policies and your ticket history.

Try the live demo → Get in touch