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AI Agent · Post-sale

An AI support agent for repetitive questions and thoughtful escalation

Handle repetitive questions automatically — order and booking questions, hours, policies, next steps — and route anything sensitive to a person with the whole story attached.

Configured response goals Grounded in your KB Smart escalation

Configured target: response and availability goals apply once your channels and calendar are connected; this is not a service-level guarantee.

Illustrative example — order help
Hi — tracking says delivered but it never arrived. Can you check?Customer · 11:02 am
Sorry to hear that. Can you share your order number, or the email you used at checkout?AI support · 11:02 am
Order 4821 — [email protected]
Thanks. It shows delivered to the front desk at 2:14 pm yesterday. If it is not with you, I can start a carrier trace and queue a replacement. Want me to do that?AI support · 11:03 am
Yes please — and what is your return window?
I cannot confirm the store’s return window from the material provided. I can ask the support team to confirm it. I have started a carrier trace and opened a support ticket; a teammate will email you with next steps.AI support · 11:03 am
The problem it solves

Support that drowns in the same five questions

For most teams, post-sale support is not hard — it is relentless. The same factual questions arrive all day, in several inboxes, and every one of them pulls a person away from work only a human can do.

  • “Where is my order?” and “Can I still cancel?” repeat dozens of times a week.
  • Questions land after hours, when nobody is on the desk, and pile up by morning.
  • Answers drift between team members, so the customer gets a different policy each time.
  • Urgent complaints sit in the same queue as routine questions, with no priority.
  • When a case is finally escalated, the customer has to repeat everything from scratch.

Illustrative example — a day in the queue

  • 9:05 am Six “where is my order?” emails in one inbox.
  • 11:40 am A refund request goes unanswered while routine questions are answered.
  • 6:12 pm The team logs off; twelve messages wait overnight.
  • Next 9:00 am Customers chase again — now annoyed that no one replied.
  • 10:30 am A rep spends the morning copy-pasting the same answers.
What the agent handles

The routine answers, lookups and follow-through — covered

Everything below is configured to your business and grounded in the knowledge base you approve.

Knowledge-base answers

Can answer supported questions from your approved content; questions outside that material can be routed to your team for confirmation.

Order & booking status

Looks up an order or an appointment and gives the customer a clear, current status instead of “let me check and get back to you.”

Tiered escalation

Resolves what it can, then escalates the right cases to a person in priority order — sensitive first, routine later.

Ticket creation

Turns an unresolved conversation into a real ticket with the transcript, the customer and the category already attached.

Multi-channel coverage

Works across web chat, email, WhatsApp and SMS, so customers get help on the channel they actually use.

Configured availability

Can be configured for supported connected channels and agreed service hours; questions that need a person can be routed to your team.

Exact channel coverage depends on the tools and accounts you already use.

Language coverage

Greets and answers in the languages your customers use most, then hands off to a fluent human when nuance matters.

CSAT follow-up

Sends a short satisfaction check after a resolved case and flags unhappy replies to the team straight away.

CRM-aware context

Sees the customer’s history before answering, so replies reflect what they have already been told.

How a case moves

From first question to resolution — or a clean handoff

Configure the agent to use approved content and route sensitive or uncovered questions to your team for confirmation.

1

Question arrives

Chat, email, WhatsApp or SMS.

2

Context check

Looks up the customer and history.

3

Approved-material answer

Configured to use your approved knowledge base.

4

Status lookup

Order or booking checked.

5

Resolve or ticket

Closed, or logged for a human.

6

Escalate

Sensitive cases go first.

7

Follow-up

CSAT check and closure.

Human in control

What stays human

The agent is here to take repetitive work off your team, not to make judgement calls. These always go to a person.

  • Refunds, credits and anything with a financial outcome.
  • Complaints, angry customers and anything that needs an apology.
  • Policy exceptions and one-off decisions.
  • Legal, regulatory or medical topics — no advice is ever given by the agent.
  • The knowledge base itself: what the agent is allowed to say.

Configure the agent to route questions outside the approved knowledge base to your team, with the conversation context available for review.

Illustrative example — a wise escalation

  • 15:20 Customer asks about a package that arrived damaged.
  • 15:20 Agent confirms the order and the delivery date.
  • 15:21 Customer asks for a refund and compensation.
  • 15:21 Agent does not offer money — flags a human with priority.
  • 15:24 Support lead picks it up with the full transcript attached.
Where it sits

How it fits the full system

The support agent sits at the post-sale end of the journey, protecting retention after the sale and feeding what it learns back into the front of the funnel.

1

Traffic

Ads, search and social.

2

Capture

Forms, calls and messages.

3

AI Response

A response goal can be configured for supported connected channels.

Configured target: response and availability goals apply once your channels and calendar are connected; this is not a service-level guarantee.

4

Qualification

Fit and urgency.

5

CRM

Clean record and history.

6

Follow-Up

Sequences until reply.

7

Appointment

Booked and reminded.

8

Sales

Your rep closes.

9

Support

Retention after the sale.

10

Analytics

What produced revenue.

Where it works best

  • Course Creators — access, billing and “how do I watch this?” questions.
  • Optometry — admin questions about appointments, forms and policies.
  • Auto Repair — status updates on vehicles and service booking questions.
Integrations

Works with your support stack

The agent is built around the tools you already run, not on top of them. Common connections include GoHighLevel and HubSpot for customer records, helpdesk and ticketing systems that are Zendesk-compatible via webhook, WhatsApp for messaging, Twilio for SMS, and OpenAI or Anthropic for the language layer — natively where a connection exists, and via API or webhook where it does not.

If your helpdesk or store is not on that list, we will say so before you commit. Where a direct connection is missing, an automation layer such as n8n, Zapier or Make is often the bridge that keeps tickets and records in sync.

GoHighLevel HubSpot Zendesk-compatible WhatsApp Twilio OpenAI / Anthropic n8n / Zapier / Make
FAQ

AI customer support questions

What kinds of support questions can the agent answer?
The repetitive, factual ones: order and booking status, hours, delivery and return windows, how-to steps, account questions and next steps. Configure the agent to use the approved knowledge base you provide; questions outside it can be routed to your team for confirmation.
How does escalation to a human work?
Refunds, complaints, policy exceptions, legal or medical topics and any angry or sensitive message are routed to a person with the full transcript and a short summary. That way your team picks up mid-conversation instead of starting over.
How is the agent trained on our information?
We build a knowledge base from your policies, help articles, product or service details and approved answers. Configure the agent to use the approved knowledge base you provide; questions outside it can be routed to your team for confirmation.
Can it handle sensitive customer data safely?
Access is scoped to what the agent needs, lookups are logged, and areas like payments or health information stay with humans. We agree the data rules with you before anything goes live.
Which languages can it support customers in?
It can greet and answer in the languages your customers use most, then hand off to a fluent human when a conversation needs a native speaker or gets nuanced.
How long does setup take?
It depends on how much support content you have and how many channels you connect. After the audit we confirm realistic dates — the rollout is staged, not a single switch. Questions? Email [email protected].
Get started

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