AI Customer Service

Customer service that gathers the right context before you reply.

Guide the visitor, prepare a useful response and turn the exchange into a clear record for human follow-up.

Try the live demonstration

Live demonstration

Try the customer experience.

This live demonstration is served from a supervised local system and may occasionally be unavailable. The sample conversation and dashboard below show the complete workflow at any time.

Live supervised demo
Connecting to the supervised demonstration…

The local service may take a moment to become ready.

This live demonstration is served from a supervised local system and may occasionally be unavailable. Availability cannot always be detected automatically; use Try again or view the sample dashboard below.

Sample conversation

From first question to useful follow-up.

A fictional scenario using demonstration-only information.

Visitor

I was charged twice for yesterday’s service visit.

Assistant

I can help organise this. Do you have the booking reference from your receipt?

Visitor

Yes, it is DEMO-2048. The two charges look identical.

Assistant

Thank you. I’ve noted the duplicate-charge concern and reference so the team can review both entries.

Structured triage · sample record

Useful context, ready for review.

Visitor-selected issue
Billing or payment
Interpreted category
Possible duplicate charge
Sentiment
Frustrated
Urgency
Priority review
Summary
Visitor reports two matching charges for one fictional service visit and supplied reference DEMO-2048.
Suggested next action
Compare the two payment records and contact the visitor with the verified outcome.
Conversation status
Open · follow-up needed

Practical value

More than an automated reply.

Guide the visitor

Give people a clear place to explain a question and receive a considered first response.

Organise the detail

Keep the selected issue, interpreted category, tone and summary visible for review.

Support the next action

Help a person understand what needs attention without pretending an account action has already happened.

Dashboard demonstration

A credible view of what customers need.

All figures and records below are fictional sample data. The display is static and is not connected to the private operational system.

TFConversation overview
Sample demonstration data
Total conversations128Sample period
Open conversations14Need follow-up
Urgent enquiries3Prioritised for review
Average response18sDemonstration value

Category breakdown

  • Technical issue38%
  • Billing27%
  • Account access21%
  • Other14%

Technical issue: 38 percent. Billing: 27 percent. Account access: 21 percent. Other: 14 percent

Sentiment breakdown

  • Neutral58%
  • Frustrated28%
  • Positive14%

Neutral: 58 percent. Frustrated: 28 percent. Positive: 14 percent

Recent activity

  • Billing enquiry prioritised
  • Account-access question organised
  • Technical issue marked for follow-up

Fictional conversation · DEMO-2048

Conversation timeline

  1. Visitor

    I was charged twice for yesterday’s service visit.

  2. Assistant

    I can help organise this. Do you have the booking reference from your receipt?

  3. Visitor

    Yes, it is DEMO-2048. The two charges look identical.

  4. Assistant

    Thank you. I’ve noted the duplicate-charge concern and reference so the team can review both entries.

Structured triage · sample record

Ready for a useful next step

Visitor-selected issue
Billing or payment
Interpreted category
Possible duplicate charge
Sentiment
Frustrated
Urgency
Priority review
Summary
Visitor reports two matching charges for one fictional service visit and supplied reference DEMO-2048.
Suggested next action
Compare the two payment records and contact the visitor with the verified outcome.
Conversation status
Open · follow-up needed

Prototype boundaries

A clear demonstration, with honest limits.

The supervised workflow may be unavailable outside demonstration periods. It cannot perform refunds, cancellations, bookings, purchases or account changes.

Responses can be incomplete or mistaken and need human review. Use synthetic information only.

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