Services/Support inbox automation

Spend less time sorting tickets and drafting replies.

Sort incoming tickets, assemble the relevant context and prepare replies for review. Route sensitive requests directly to the right person.

Discuss your projectA 15-minute conversation about your workflow, your tools and where to start.Explore the workflow
Illustrative support inbox with classified tickets, a reply awaiting approval and a sensitive case assigned to staff.
Fictional concept · illustrative interface

How it helps your team.

01

Start with organized tickets

Classify requests and assign a useful queue before staff begin.

02

Draft from approved help content

Prepare a response the reviewer can check against its sources.

03

Bring exceptions to the right person

Keep billing, refunds and other agreed sensitive cases on a direct human path.

Published research · human-agent assistance5,172 customer-support agents

15%

More issues resolved per hour

The published study found an average productivity increase when support agents at one software company used an AI assistant for conversational guidance.

Human agents could edit or ignore suggestions. Gains varied by experience; this does not measure autonomous ticket handling.

Brynjolfsson, Li & Raymond · The Quarterly Journal of Economics4 February 2025 · Accessed 2026-09-24A finding from another organization. This is not a Betterlane result or a guarantee for your project.

From a new ticket to a reviewed reply.

A fictional example to make the workflow tangible. The interface illustrates the process; it is not a live demonstration.

Illustrative support inbox with classified tickets, a reply awaiting approval and a sensitive case assigned to staff.
Fictional concept · illustrative interface
  1. 01

    A ticket arrives

    A fictional user needs help accessing an account.

  2. 02

    Context and a draft are prepared

    The workflow classifies the request and uses approved help material to draft a reply.

  3. 03

    Staff review and send

    A reviewer edits or approves the draft; sensitive cases bypass drafting under the agreed rules.

Support automation in our own product

Our college-admissions product uses AI to classify support tickets and prepare replies for human approval. Billing, refund and legal cases go directly to a person. This is own-product work, not a paid client case.

What your team receives.

Access, costs and acceptance criteria are agreed before implementation.

Illustrative support inbox with classified tickets, a reply awaiting approval and a sensitive case assigned to staff.
Fictional concept · illustrative interface

Included in delivery

  • Ticket categories and routing rules
  • Draft preparation from approved support material
  • Human review and explicit sensitive-case escalation
  • Test scenarios, error logs and team handover
How we check the delivery

Use representative tickets to verify classification, source-based drafts, routing and rejection. Confirm that no draft is sent without the agreed approval and sensitive cases take their defined human route.

How do you automate a support inbox without sending a wrong reply?

Let the automation sort each message and draft a reply, and keep a person as the one who presses send. Messages about money, refunds, legal or health matters, and anything the model is unsure about, skip the draft and go straight to a person. If the model returns something malformed or empty, treat it as a failure and route the message to a person; never send it.

Read the guide

Let’s talk about your project.

Let’s understand where work repeats and design a workflow that helps your team.

Bring an example of the task, the tools you use and what you would like to improve.

Let’s discuss your project

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Frequently asked questions