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AI customer support

AI customer support that resolves routine tickets from start to finish

Your support team answers the same questions all day: where is my order, how do I return this, how do I change my plan. An AI support agent answers them in chat and email using your help center and order systems, completes the task and hands unusual cases to your team with the full history.

Customer support lead calmly reviewing a short list of escalated tickets at her desk

What routine tickets cost your support team

Order status, returns, password resets and billing questions fill most support queues. Each ticket takes a few minutes, and together they take up your team's day and delay replies to customers with real problems.

Basic chatbots answer with a link to a help article and leave the work to the customer. A support agent connected to your systems looks up the order, starts the return or updates the account, and the ticket closes.

What the AI support agent handles

  • Order status and tracking

    It finds the order, reads the carrier status and explains any delay in plain language.

  • Returns and exchanges

    It checks your return policy, creates the return and sends the label or instructions.

  • Account and billing questions

    It answers plan, invoice and subscription questions and makes the changes your policy allows.

  • Troubleshooting

    It walks customers through the fixes in your knowledge base and records the steps they tried.

  • Hand-off with full history

    When a case needs a person, it passes the conversation, customer details and a summary to your help desk.

  • Replies in the customer's language

    It answers in the language the customer writes in, using your approved content.

Connects to your customer support stack

The agent works inside the tools your support team already uses.

  • Help desk and ticketing systems
  • E-commerce platforms and order management
  • Subscription billing systems
  • Shipping and carrier tracking
  • Your knowledge base and help center
  • Website chat, email and messaging channels

Guardrails for customer conversations

Support agents handle personal data and money, so we limit both.

  • Each conversation can reach the data of the customer in it and no one else.
  • Refunds and credits above the limit you set wait for a person's approval.
  • It refuses requests for other customers' data and logs the attempt.
  • It follows your tone of voice and approved answers.
  • It tells customers they are talking to an AI and offers a person at any time.

What you can measure

We agree on these numbers with you before the pilot and report on them every month.

Resolution rate
Tickets the agent closed without a person.
First response time
How long customers wait for their first answer.
Customer satisfaction
Ratings for AI-handled and human-handled conversations, side by side.
Cost per ticket
Total cost per resolved ticket, including AI usage.

From audit to launch in four stages

  1. 01 · 1–2 weeks

    Opportunity and risk audit

    We interview your team, map the workflows and rank AI opportunities by payback and risk.

    You get: Ranked use cases, ROI model, risk map

  2. 02 · 4–6 weeks

    Pilot with clear success criteria

    One agent and one workflow, connected to your real systems and measured against the goal we agreed on. Then you decide whether to continue.

    You get: Working agent, results report, go/no-go decision

  3. 03 · 2–4 weeks

    Secure launch

    We harden, attack-test and monitor the agent and train your staff before it talks to a single customer.

    You get: Security report, operating guides, launch

  4. 04 · Ongoing

    Run and improve

    We track quality, cost per workflow and new risks, and keep improving the agent. Short contracts, no lock-in.

    You get: Monthly performance and cost report

AI customer support FAQ

How is an AI support agent different from a chatbot?

A traditional chatbot follows scripted answers or links to articles. An AI support agent understands the question, uses your systems to complete the task, such as starting a return, and hands the case to a person when it should.

Which support channels does it cover?

Website chat, email and messaging apps. We can add phone support with the same knowledge base and rules.

How do you keep the agent's answers accurate?

The agent answers from your knowledge base, policies and order data. We test it on real past tickets before launch, review a sample of conversations each week and fix gaps in the content.

Can it handle angry or complex customers?

It recognizes frustration and complex cases and hands them to your team with a summary. You decide which topics always go to a person.

Will it work with our help desk?

It works with help desks and e-commerce platforms that offer an API, which covers most modern tools. We confirm the integration during the free assessment.

Related use cases and services

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    See how the AI receptionist works
  • Finance manager reviewing a single printed invoice before approving it

    Use case

    Back-office automation

    AI back-office automation that reads invoices, contracts and emails, matches them to your ERP and sends exceptions to a person for approval.

    See how back-office automation works
  • Service

    AI agent development

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    Explore AI agent development
  • Service

    AI automation and integration

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    Explore AI automation services

Free 30-minute assessment

Find the one workflow worth automating first.

Tell us how your team works. We'll come back with two or three AI opportunities, the risks to watch and a rough payback estimate. No obligation.

  • A senior engineer replies within one business day
  • We can sign an NDA before you share details
  • No fixed packages, every quote tailored to you
What can we help with?
About your company

Company size

When would you like to start?

How can we reach you?

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