Understand trained answers

Written by:Amr Mohamed

Share Article

Trained Answers allow teams to review, correct, and reinforce AI behavior using real conversations.

This helps improve:

  • answer accuracy

  • support consistency

  • AI learning quality

  • operational workflows

Open Trained Answers

To review trained answers:

  1. Open your AI Agent workspace

  2. Go to Trained Answers

Inside this section, you can manage:

  • trained responses

  • AI corrections

  • archived answers

  • learning history

Understand how Trained Answers work

When AI conversations are reviewed and corrected, Mando AI can use those corrections to improve future responses.

This creates a feedback loop between:

  • AI conversations

  • human corrections

  • support workflows

Over time, this helps the AI respond more accurately to similar questions.

Review active answers

Inside the Active tab, you can review trained answers currently used by the AI.

These answers may include:

  • corrected support responses

  • approved workflows

  • validated customer guidance

This helps maintain more consistent support behavior.

Archive outdated answers

Inside the Archived tab, you can review answers that are no longer actively used.

Archiving helps:

  • remove outdated workflows

  • clean up training history

  • improve answer relevance

This is useful when policies or support processes change.

Improve AI performance using corrections

Many teams improve AI quality by:

  • reviewing weak answers

  • correcting incorrect responses

  • reinforcing successful support replies

This helps the AI learn from real support interactions over time.

Use Trained Answers with support workflows

Trained Answers work well alongside:

  • Inbox conversations

  • Human Handoff

  • snippets

  • internal articles

  • synced content

This creates a more reliable AI support system.

Keep answers updated

As your business evolves:

  • update outdated responses

  • remove incorrect information

  • review recurring customer questions

Well-maintained training data usually improves long-term AI performance.

Best practices for trained answers

For better AI quality:

  • review important support conversations regularly

  • correct inaccurate answers early

  • archive outdated responses

  • maintain consistent support messaging

Consistent corrections usually improve AI reliability significantly.

PRO TIP:
Focus on correcting high-frequency support questions first. Improving common workflows usually creates the biggest impact on AI performance.

Next steps

  • Correct AI answers

  • Use AI Analysis

  • Understand conversation details

Did this answer your question?

More Support

Get more support from us