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Ticket Deflection

Reduce support tickets with a source-cited AI chatbot

ChattyBox helps users self-serve before opening a ticket by answering common questions from your existing docs, help center, product pages, and FAQs.

Crawls published docs pages
Source-cited answers
Embeds with one script
No docs migration required
Vraag ChattyBox
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Waar moet ik beginnen als ik een betrouwbaar antwoord van deze site nodig heb?
Begin door uw website-URL aan ChattyBox toe te voegen. Het crawlt uw content, beantwoordt vragen vanuit de pagina's die het vindt en toont bezoekers de bronnen achter elk antwoord.
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Aangedreven door ChattyBox
Gebouwd voor support teams

Lanceer een chatbot met bronvermeldingen zonder je documentatiestack opnieuw te bouwen

ChattyBox crawlt je bestaande documentatie, indexeert de content voor retrieval en embedt een chatbot die antwoordt vanuit je documentatie in plaats van generiek modelgeheugen.

Ground answers in the content your team already publishes.
Send users back to source pages when they need the full guide or reference.
Use unanswered questions to discover missing docs and unclear onboarding flows.
Install the widget without changing your docs platform or support stack.
Workflowstap

Identify repeated tickets that are already answered in public content.

Workflowstap

Crawl the docs, help center, product pages, and FAQs that should answer those questions.

Workflowstap

Test the highest-volume ticket themes and review citation quality.

Workflowstap

Install the chatbot before ticket creation and monitor unanswered questions.

Three-step launch

Paste your Support URL, test cited answers, then install the widget.

Build a support chatbot
Deflection workflow

Deflect the questions your content already answers

The best first use case is not full support automation. It is giving users immediate answers to the repeat questions your team sees every week.

01

Start with repeat volume

Look for pricing, setup, troubleshooting, account, integration, and how-to tickets with existing docs.

02

Cite the article

A source link makes the answer more trustworthy and gives users a path to more detail.

03

Escalate missing context

If the docs do not contain an answer, the chatbot should avoid guessing and surface the gap.

04

Improve content over time

Use unanswered questions to update docs and increase future deflection.

Veelgestelde vragen

Veelgestelde vragen

1

Can an AI chatbot reduce support tickets?

Yes, when many tickets repeat information already available in docs, FAQs, help articles, or product pages.

2

What tickets are best to deflect?

High-volume, low-complexity questions with clear public answers are the best starting point.

3

Should the chatbot answer account-specific questions?

Not unless the answer is available in the indexed source content. Use escalation for private or account-specific issues.

4

How do I estimate deflection?

Use support volume, repeat-question percentage, and expected chatbot resolution rate to model monthly impact.