VoxLink.ai

AI Customer Support

AI Customer Support for the Questions Your Team Answers Every Day

VoxLink AI Customer Support can handle routine phone enquiries using your approved business knowledge, collect issue details, guide customers through configured support steps and escalate conversations when the situation needs a person.

Capabilities

Support Conversations Your AI Can Handle

Answer Common Questions

Respond to routine support questions from your approved knowledge.

Collect Issue Details

Capture what happened and the details your team needs to resolve it.

Guide Configured Procedures

Walk customers through the support steps you have set up.

Use Connected Information

Draw on supported connected sources where configured.

Escalate to a Human

Hand the conversation over when the situation needs a person.

Create Better Handoffs

Pass context, transcripts and summaries to whoever picks it up.

How it works

How a Support Call Resolves

  1. 1

    Customer calls with a question or issue.

  2. 2

    AI identifies the issue and uses your approved knowledge.

  3. 3

    AI follows your configured support steps.

  4. 4

    AI resolves the routine enquiry where appropriate.

  5. 5

    AI escalates complex or sensitive issues.

  6. 6

    Your team receives the context and outcome.

Who this is for

Is AI Customer Support the right fit for your business?

Support teams handling repetitive questions

Teams where a large share of calls are the same routine questions, answered from existing documentation.

Businesses with a growing knowledge base

Operations that already document policies, FAQs and procedures and want that content used consistently on calls.

Teams that need clear escalation

Support desks that want routine calls handled quickly while complex or sensitive issues still reach a person.

Problems it solves

What this replaces or fixes

Support staff repeat the same answers
Common questions take up time that could go to more complex issues.
Answers vary between team members
Without a shared source, customers sometimes get inconsistent information.
Call volume peaks overwhelm the team
Busy periods mean longer wait times for every caller, including urgent ones.
Context gets lost on handoff
When a call is transferred, the next person often has to ask the customer to repeat themselves.

Example conversations

Illustrative examples, not recordings

These are written examples of the kind of conversation your agent could handle once configured - not transcripts of real calls.

Example: routine support question

Caller: What's your return policy for online orders?

Agent: You can return items within 30 days of delivery, as long as they're unused and in original packaging.

Example: escalation to a person

Caller: My order arrived damaged and I'm quite upset about it.

Agent: I'm sorry to hear that. This needs a closer look, so I'll transfer you to a team member who can sort it out with you.

What you configure

Set this up for your business

Knowledge Base grounding

Add the documentation and policies the agent should answer support questions from.

Support procedures

Define the steps for common issue types, such as returns or account questions.

Escalation triggers

Set which topics, sentiment or requests should hand the call to a person.

Handoff context

Configure what transcript and summary detail is passed along on escalation.

Ready to set this up for your own calls?

After the call

What Happens After the Call

  • Transcripts and summaries are available where enabled, so context isn't lost after the call.
  • Escalated calls carry through the details already captured, for whoever picks them up.
  • Resolved issues are recorded as an outcome your team can review.

Best-practice boundaries

When to Keep a Person Involved

  • Escalate complaints, sensitive account issues and anything outside your documented knowledge to a person.
  • Keep the Knowledge Base current so the agent isn't answering from outdated information.
  • Make it easy for a customer to ask for a person at any point in the call.

FAQ

AI Customer Support Questions

Related AI voice agents

Set up your ai customer support and hear it first

Configure the agent for your business, test the behaviour, then decide when to put it in front of customers.