Customer support

Customer support automation with AI, answered at any hour from your own material

The same questions arrive by email and phone at every hour: status, documents, opening hours, how to do something. AI answers them from your own policies with the source cited, books or changes appointments, and hands the conversation to your team, with the full history, when it shouldn't decide.

Customer support automation with AI - MosenAI

Problems it solves

Easy questions that cost a great deal, answered by whoever is free

Status, documents, opening hours, how to do something they have done before. The questions aren't hard, but they come up often enough to cost a lot, and the person doing the billable work answers them. Answer slowly and trust erodes. Hire a front desk, and margin does.

The volume problem

Easy questions that cost a great deal

Status, documents, opening hours, how to do a thing they have done before. The questions are not hard, which is exactly the problem: they are easy enough that answering them feels like it should not cost anything, and they arrive often enough to cost a great deal.

Customer support automation with AI - MosenAI
The cost problem

Answered by the person doing the billable work

The person answering is the person doing the billable work. Answer slowly and trust erodes; hire a front desk and margin does. This is support in the narrow sense — an anonymous, reactive request that has an answer and then is finished.

Customer support automation with AI - MosenAI

How we help

One agent on every channel, answering from your policies and handing over when it should

Clients ask on your portal, your website, your phone line or by email, and the same agent with the same knowledge answers each one. It replies from your own material with the source cited, so people can check instead of taking it on trust. It can also act: check real availability, book the slot, send the confirmation and log it on the client's timeline. Anything it shouldn't judge goes to your team with the whole conversation, so the person picking it up starts where the client left off.

Step 1

They ask, wherever they are

On your client portal, the widget on your website, your phone line or an email address. It is the same agent with the same knowledge behind all of them.

Customer support automation with AI - MosenAI
Step 2

It answers from your own material

Your policy document, your procedure, your hours — cited, so the person can check rather than take it on trust. Not from a general model’s idea of how firms usually work.

Customer support automation with AI - MosenAI
Step 3

Or it does the thing

Asked to move Thursday’s appointment, it checks real availability, offers two slots, books the one chosen, sends the confirmation and logs it on that client’s timeline.

Customer support automation with AI - MosenAI
Step 4

And it knows when not to

Asked something it should not judge, it says so and hands the conversation to your team, with the whole history — so the person picking it up starts where the client left off.

Customer support automation with AI - MosenAI

What it draws on

The parts of the platform this uses

Interfaces

The portal, the widget, the phone line and an email address — one configuration behind all four.

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Knowledge bases

Your own policies and procedures, answered from with the source cited.

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The AI assistant

The agent itself — what it is scoped to, what governs it, and how it hands over.

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Analytics

First-response time, what got escalated and why, and the satisfaction people left.

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What to watch

What a firm measures once this is running

First-response time

The gap between a question arriving and something useful going back. The number clients actually feel.

Resolved without a person

The share that finished on its own. Watch it beside satisfaction, or you are optimising for deflection rather than service.

After-hours requests handled

The ones that used to wait until morning. Often the clearest before-and-after a firm has.

Hand-off rate, and its quality

How often it escalates, and whether the person picking it up had what they needed. The second matters more.

Questions

What people ask about automated support

This is support. Client service is a different page.

Support is anonymous and reactive — a question with an answer, then finished. Client service is named and ongoing.

FeatureCustomer supportClient service & accounts
Who is askingAnyone — often anonymousA named client with a file
Shape of the workReactive — a ticketOngoing — a relationship
How it endsResolved and closedIt does not — it continues
What the agent knowsYour public and internal materialThat one client’s own documents
What you measureDeflection and response timeOnboarding time and account continuity

Looking for the ongoing relationship instead?

A named client asking where their own account stands — their documents, their deadlines, their history — is client service, and it has its own page.

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Or how the surfaces work

The portal, the widget, the phone line and the email address are one configuration behind the same agent. That is its own page.

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Put it on your own site and ask it something hard

The useful test is the question you would not want it to answer. Try that one on a demo.