Table of Contents

• The short answer

• How learning from resolved tickets works

• Learning vs retraining

• How to tell it's working

• Frequently Asked Questions

The short answer

An AI support agent can learn from resolved tickets without anyone tagging them. Fini AI reads your past tickets, help center and internal docs, spots questions it couldn't answer or answered inconsistently, and drafts new articles from how your team actually resolved them. You choose whether drafts wait in Review for a person to approve or go live directly, and every change is listed in the Published tab. Your team can also generate knowledge from a conversation in the Inbox, so answers improve without retraining a model.

Want your resolved tickets turned into approved answers? Book a demo.

How learning from resolved tickets works

1. Read history. Past tickets, help center and internal docs become knowledge sources.

2. Find gaps and conflicts. Questions with no good source, and sources that disagree, are flagged.

3. Draft from real resolutions. Magic Articles drafts an article from how your agents resolved similar tickets.

4. Approve. Set Magic Articles to Suggest for Review and drafts wait in Review for a person to accept, edit or reject; set it to Live and they publish directly. Background AI drafts always go to Review. The Published tab lists everything that reached your agents.

5. Correct in the flow. Use Generate Knowledge in the Inbox to turn a live conversation into knowledge.

How Fini AI does this: past tickets as a source, gap detection, Magic Articles and one Review queue with a Published tab audit. See the Fini AI platform.

Learning vs retraining

How to tell it's working

• Fewer gaps flagged week over week.

• Higher resolution rate on topics that had new articles approved.

• Fewer repeat corrections on the same question.

Fini AI delivers 90% resolution at 99% accuracy. Deploy anywhere in 2 mins, fully live in 14 days and fully autonomous in 30 days. For more, see self-learning AI knowledge bases and which AI platform learns your knowledge base.

See how Fini AI learns from your resolved tickets. Book a demo.

Frequently Asked Questions

Can AI learn from resolved support tickets without manual tagging?

Yes. Fini AI reads past tickets directly, finds gaps and drafts articles from how your team resolved them. No annotation needed.

How do I update FAQs from resolved cases automatically?

Connect your helpdesk. Fini AI flags gaps, drafts articles with Magic Articles and sends them to Review for approval.

Does the AI publish new answers on its own?

Only if you let it. Set Magic Articles to Suggest for Review or Live, and the Published tab shows every change. Background AI drafts always go to Review.

Is this the same as retraining the model?

No. It updates approved knowledge, not model weights, and your data isn't used to train foundation models.

What happens when an agent corrects the AI?

Your team can generate knowledge from the conversation in the Inbox, so the fix becomes part of what the agent answers from.