AI Employee Roster · Service teams

The AI Customer Support Agent

Your front line, answered — and your team on the conversations that need a person.

Most support queues are full of the same questions: where is my order, how do I reset this, what is your policy on that. The AI Customer Support Agent reads every ticket, answers the repeatable ones from your own help content, and hands the rest to your team with the full story.

Configured to your help content, policies, and tone. Working alongside your support team, with the access and authority you choose to give it.

Or see a typical day
A support team lead reviewing a sorted ticket queue on a large monitor in a bright Miami office
AI Support Agent
In your ticket queue Available after hours
Identity
Its own name and support address
Works with
Your support team
Available
Whenever customers write in
Starts in
Supervised mode
Trained on
Your help content and policies
Part of the team

A front-line teammate, not a chatbot bolted on

Your AI Customer Support Agent works inside the queue your team already uses. It can have its own name and support address, pick up tickets as they arrive, and leave a visible record of every answer and handoff.

Your team sees what it answered, what it routed, and what it is waiting on. When a conversation needs a person, it stops and hands over — with the customer's history, the question, and what it already checked — so nobody has to ask the customer to start again.

  • What it answered
  • What it routed
  • What needs a person
Ticket: Order question
Customer via web chat
My order still says processing. Can I change the delivery address before it ships?
AI Support Agent reply
Your order hasn't shipped yet, so the address can still be changed. I've prepared the update — a teammate will confirm it shortly.
Address changes need staff approval under your current settings.
Approve change Take over
Illustrative example of a supervised reply
What the research shows

Support is where AI employees are already proving out

53%

of companies in BCG's 2025 survey of 602 IT buyers already use AI agents in customer service and support.

Source: BCG
84%

of customer questions on Salesforce's own help site were resolved by its AI agent six months after launch, with only 4% handed to a person (April 2025).

Source: Salesforce
People

still take the questions that matter most. Salesforce routes every renewal question to a live support engineer, not the agent.

Source: Salesforce

What your AI Customer Support Agent can do

Five kinds of work that fill a support queue — each one inside the limits your team sets.

01

Read, sort, and route every ticket

Tickets arrive in every shape: a one-line question, a long complaint, a forwarded email thread. Someone has to read each one before anything else can happen.

Your AI Customer Support Agent reads every incoming ticket, works out what it is about and how urgent it is, and either answers it or sends it to the right queue with a one-line summary. Your team stops spending the first part of every shift sorting.

Incoming queue
Sorted on arrival
  • "How do I reset my password?"
    Answered How-to
  • "Invoice shows the wrong company name"
    Routed · Billing Summary attached
  • "Third time asking — this is unacceptable"
    Priority · to a person History attached
  • "What's your return window?"
    Answered Policy
02

Answer the repeatable questions from your own content

How-to questions, policy questions, "where is it" questions. Your best agents answer them the same way every time — from your help articles, policies, and product information.

Your AI Customer Support Agent answers from those same sources, in your tone, and can show your team which article or policy each answer came from.

It doesn't invent policy. If the answer isn't in the content you've approved, the ticket goes to a person.

Can I return something I bought on sale?
Yes — sale items follow the same return window as full-price items, as long as they're unused. Here's how to start a return:
  1. Open your order from the confirmation email
  2. Choose "Start a return" and print the label
Answered from
Returns policy Help article

Illustrative · your policy, not ours

03

Take the routine steps you approve

Many tickets need more than an answer: check an order, update an address, open a case, resend a receipt. These are the steps that keep customers waiting for a person.

With the access you grant, your AI Customer Support Agent can prepare these steps — and, once a step has proven reliable, complete it on its own. You choose which actions are automatic, which need approval, and which it never touches.

Action permissions
Set by your team
  • Check order status
    On its own
  • Resend a receipt
    On its own
  • Change a delivery address
    Needs approval
  • Issue a refund
    Always a person
04

Hand off to a person with the full story

The worst part of a handoff is the customer repeating themselves. Complaints, billing disputes, cancellations, and anything outside your content should reach a person — and that person should already know what happened.

When your AI Customer Support Agent hands off, the ticket arrives with who the customer is, what they asked, what was already checked, and why it needs a person.

Upset customers, sensitive accounts, and anyone who asks for a human go straight to your team.

Handoff to your team
Billing dispute
Customer & account
Verified, with recent orders
What they asked
In one sentence
What was already checked
So nobody asks twice
Why it needs a person
Disputes always go to your team
05

Show you where your help content falls short

Every question it has to hand off is a signal: a policy nobody wrote down, an article that is out of date, a product change customers heard about before support did.

Your AI Customer Support Agent summarizes what customers asked, which topics are spiking, and which questions it couldn't answer, so your team knows exactly which content to write or fix next.

Weekly support summary
Illustrative
Topics customers asked about most
Questions it couldn't answer

No article covers international returns yet — handed to your team each time.

Suggested content update

Shipping-times article is older than the current carrier policy.

Picture this working on your queue

Tell us which questions fill your team's day. We'll show you what an AI Customer Support Agent configured for your business would take on first.

A typical day

See it in a typical day

From the overnight queue to the customer who writes in after everyone has gone home.

A support team starting the day around a screen showing an already-sorted ticket queue
7:00 a.m.
The queue is sorted before the team logs in
A customer checking an order status on a phone late at night at home
After hours
Customers still get an answer
  1. 7:00 a.m.

    The overnight queue is already sorted.

    Questions it could answer are answered. Everything else is categorized, prioritized, and waiting for the right person with a summary attached.

  2. 10:15 a.m.

    A surge of the same question.

    After a shipping delay, dozens of customers ask the same thing. It answers from the approved update and tells your team the topic is spiking.

  3. 1:30 p.m.

    A frustrated customer writes in.

    It recognizes a complaint that needs a person, stops, and hands the conversation to your team with the history and what has been tried.

  4. After hours

    A customer needs an order status.

    It checks the order through the access you approved, replies, and logs the conversation for your team to see in the morning.

Each step can be configured around how your team actually works.

Your team sets the boundaries

The AI Customer Support Agent starts with supervised work. Autonomy is something your team grants, one proven routine at a time — never something it takes.

How responsibility can grow
Illustrative · pace set by your team
Supervised-first autonomy for the AI Customer Support Agent A stepped chart. Independent steps start at a supervised baseline where answers and actions are reviewed. The team can expand scope to proven routines, then to more routines with oversight and an activity record. A band at the top marks sensitive conversations — complaints, disputes, refunds and cancellations — which always go to a person. Complaints, disputes, refunds, cancellations Always handled by your team Supervised replies and actions reviewed Proven routines team opts in, step by step Expanded routines with oversight + activity record AS WORKFLOWS PROVE RELIABLE → STEPS IT MAY TAKE ALONE

Your team decides

Four controls, set by you and changeable at any time.

  • What it may access
    Which help content, order and account data, and ticket history it can see.
  • What it may answer
    Which topics it answers on its own and which always go to a person.
  • Which actions it may take
    Which account or order steps, if any, it can complete without approval.
  • When it hands off
    The topics, tones, and customers that always go straight to your team.

Want to talk through access and approvals?

We'll walk your support leads through what the agent would see, what it would answer, and what always comes to a person — before anything is switched on.

Configured, not generic

Built from your help content, not a generic chatbot

The difference between a frustrating chatbot and a useful support agent is context: your policies, your products, your customers' history, and a clear line for what needs a person.

BASG configures the role from your help content, past tickets, and the way your best agents handle customers, then refines it with your team's feedback. When someone corrects an answer or a tone, that guidance can be incorporated going forward.

Configure, work, review, refine: the AI Customer Support Agent improves with your team's feedback Your team's way of serving Configure Work Review Refine
Generic chatbot
AI Support Agent
  • Answers from whatever it was trained on
    Answers from your help content and policies
  • Makes up a policy when unsure
    Hands off when the answer isn't in your content
  • Can only talk
    Takes the account steps you approve
  • Escalates with "a customer needs help"
    Escalates with the history, the issue, and what was tried
  • Forgets corrections by the next chat
    Incorporates your team's feedback going forward
The result: an AI employee designed to serve your customers the way your best agents do.

What could your team hand off?

The right starting point depends on what fills your queue. For one team it's sorting; for another it's order questions. Most start with one.

Start here? · 01

Ticket triage & routing

Every incoming ticket read, categorized, prioritized, and sent to the right queue with a summary.

Start here? · 02

How-to & policy questions

The repeatable questions answered from your help content, with the source behind each answer.

Start here? · 03

Order & account status

Status checks and routine updates through the access and approvals you set.

Start here? · 04

After-hours coverage

Customers get an answer or an acknowledgment at any hour, and your team starts the day with a sorted queue.

Let's find the questions your team answers every day — and design an AI Customer Support Agent around them.

AI Customer Support Agent — Common Questions

What support leaders ask before bringing an AI employee onto the team.

Question we didn't answer?

Call and ask. You'll speak with someone who can explain how the AI Customer Support Agent would work for your team.

The AI Employee roster

Other roles on the team

See the full roster

Want the bigger picture first? See how BASG designs, secures, and integrates AI across the business in enterprise AI solutions.

Talk to BASG about an AI Customer Support Agent

Tell us what fills your support queue. We'll show you what an AI Customer Support Agent configured for your business could take on first.

Prefer to talk? We answer during business hours and return calls the same day.