knots.io

Icon showing an email reply symbol used for the optional AI response in the thank you app.

AI Thank You Autosolve for Zendesk

Auto-solve thank-you replies and keep queues clean

Than you messages may be polite, but they reopen solved tickets and distort your Zendesk workflows. AI Thank You Autosolve detects pure gratitude replies, resolves them instantly and keeps your metrics accurate — without configuration or maintenance.

Flow diagram showing how the Zendesk thank you app auto-solves thank-you replies and closes tickets automatically.
Knots Logo Bubbles

Keep Zendesk queues clean and SLA metrics accurate

A solved ticket should stay solved. But in Zendesk, any customer reply — even a short “thank you” — reopens the conversation and adds noise to your queue. Over time this affects SLA performance, reporting accuracy and agent focus. Basic keyword triggers rarely handle this reliably, especially across multiple languages, which is why many teams look for a dedicated Zendesk thank-you solution.

What you gain

  • auto-solve thank you replies instead of re-closing them manually
  • prevent false SLA breaches and inflated response times
  • maintain accurate reporting with consistent  thank_you tagging

  • reliable recognition across all AI-supported languages

Why Zendesk teams love our Thank You app

Support teams close a surprising number of tickets that reopened simply because a customer was thanking them. With AI Thank You Autosolve, this low-value work disappears. Agents stay focused on real issues, and admins don’t have to maintain complex rules to filter out thanking variations in different languages.

Benefits for your team

  • reduce queue noise from simple gratitude messages
  • protect SLA and response-time metrics
  • less manual cleanup, more time for meaningful work
  • multilingual intent detection without trigger complexity
knots graphic

Prevent SLA breaches from customer thanking replies

A customer writes back with “Thanks, that fixed it.” Zendesk immediately reopens the ticket. If nobody notices, the reopened ticket can count toward your SLAs and push your response-time metrics in the wrong direction. AI Thank You Autosolve identifies these messages as gratitude, optionally sends a short acknowledgement and resolves the ticket before it affects your reporting.

From thanking to auto-closed — instantly and safely

When a solved ticket is reopened, the app analyses the reply for thanking intent. If it’s purely appreciation, the ticket is resolved automatically. Messages containing new questions or follow-up details remain untouched, so your team sees every case that truly needs attention.

How it works

  • detect when a solved ticket reopens
  • analyse the reply for gratitude intent
  • auto-solve the ticket if no action is required
  • apply the thank_you tag for transparent reporting
  • optionally send a polite AI acknowledgement
People looking at a laptop screen

Let your agents focus on solving real problems

Thanking messages are harmless, but at scale they create unnecessary work and distract from genuine support issues. AI Thank You Autosolve filters them out at the source, keeps queues clean and operates quietly in the background — without setup or ongoing maintenance.

Why teams activate it

  • works with any Zendesk instance
  • no configuration needed
  • runs fully in the background
  • includes a 14-day free trial

Common questions about thank-you auto-closing

Does this automation support multiple languages?

Yes. The app works across all languages supported by our AI models. It recognises gratitude intent based on context, not static keywords, which makes it far more reliable than traditional trigger rules.

Can the app close tickets that still need action?

No. If the AI detects any sign of a new request or question, the ticket stays open for an agent to review. The system is designed to err on the side of caution.

How do you prevent SLA breaches caused by thanking replies?

The app resolves gratitude messages immediately after a ticket reopens — before the reopen can influence SLA or response-time metrics.

Can I report on auto-closed tickets?

Yes. All automatically handled tickets receive the thank_you tag, making them easy to filter, audit and analyse.

How does this compare to other Zendesk thank-you apps?

This solution uses context-aware analysis, supports a wide range of languages, offers optional AI-generated acknowledgements and maintains clean reporting with consistent tagging.