AI customer support

Automate the repeat work, keep the exceptions human

Most of what reaches your support team has been answered before. An AI agent can close that part outright, which leaves your people on the conversations that actually need judgement.

No credit card required.

Support volume grows in a straight line with headcount

Every extra customer adds conversations, and the only lever most teams have is hiring. That is the cost curve worth breaking, and it does not break by adding another inbox.

It resolves rather than deflects

Kai answers from your own help articles, uploaded PDFs or a crawl of your site, and calls your systems mid conversation to check an order or update a record. A case number is closed, not raised.

People get the conversations worth their time

When the agent should not decide alone it hands over to a queue with the transcript and the customer history already attached, so nobody starts by asking the customer to repeat themselves.

You can see what it is actually doing

Resolution rate, AI assisted rate and estimated time saved sit next to the same numbers for your human team, so the split between them is a fact rather than a claim.

How it works

What changes in the first month

Coverage

The night shift stops being a staffing problem

Questions arrive at 2am on WhatsApp and at 9am by phone, and both land in the same queue. The agent answers whenever they arrive, in the customer language, and only wakes a person when it should.

  • Answers on WhatsApp, live chat, email, Messenger and voice
  • Replies in the customer language, including Thai
  • Coverage without a night rota
Conversations arriving in one queue
Cost

Volume stops meaning headcount

The repetitive share of your volume is the share that scales badly. Moving it to an agent is what changes the shape of the cost curve, and the dashboard reports how much moved.

  • AI resolution rate against human handled cases
  • Estimated time and cost saved
  • Billed per resolved conversation, not per seat
AI against human resolution reporting
Quality

Wrong answers become training, not tickets

Click Train AI on a bad reply and the correction becomes knowledge, so the same question does not come back. AI CSAT scores conversations automatically from tone and outcome, across every channel including voice.

  • Train AI turns a correction into knowledge
  • AI CSAT scores conversations without asking the customer
  • Every conversation on one timeline with its own case number
Correcting an AI answer
What it handles

The conversations that repeat

These are the ones worth automating first, because they arrive constantly and rarely need judgement.

Where is my order

Looks up the order and the shipment in your commerce system and answers with the real status.

Opening hours and policy

Answered from your own help content rather than a script somebody has to maintain twice.

Booking and rescheduling

Offers real availability and writes the change back to your calendar.

Account and profile updates

Changes a detail once identity has been verified, not before.

Password and access help

The highest volume question in most B2B products, and the least worth a person.

Refunds and returns

Triggers the flow in your billing system with the audit trail finance expects.

Product questions before buying

Presales questions answered at the moment of interest rather than the next morning.

Escalation to a person

Handed to the right queue with the transcript, so the customer never repeats themselves.

Out of hours cover

The same answers at 2am, without a rota.

Multiple languages

Replies in the customer language, with tone configurable per queue.

Anything with an API

If a system can be reached over a webhook, the agent can use it mid conversation.

Knowing when to stop

A Human Agent step exists precisely so the agent does not guess on the ones that matter.

Point it at your help centre Connect one channel, let it train on the content you already have, and watch what it closes.

What teams see

80%
Of repetitive volume resolved without a human
More conversations handled per agent
13 sec
Median first response across every channel
24/7
Coverage without night shifts

Common questions

How is this different from the Kai AI agent page?

That page explains how the agent is built, the studio, the tools and the models. This one is about what happens to a support operation when it runs, which is the part worth deciding on first.

What happens to the conversations it cannot answer?

A Human Agent step hands them to a queue with the transcript and history attached, so a person picks up in context rather than starting again.

Will it invent answers?

It answers from the knowledge you connect. When it does get something wrong, Train AI turns that message into a correction so it does not repeat.

What does it cost?

You are billed per resolved conversation rather than per seat or per AI licence, so unlimited users can be on the platform and the bill follows outcomes.

Let the repeat questions answer themselves

Connect one channel free, point the agent at your help content, and keep your team for the conversations that need them.

No credit card required. Cancel anytime.