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Conversations

Every interaction with your customers becomes a conversation in Hay. Learn how to view, manage, and take control of customer conversations.

What is a Conversation? #

A conversation is a complete interaction between a customer and your Hay agent. It includes:

  • All messages exchanged
  • Customer information
  • Which agent handled it
  • How it was resolved
  • Any feedback or ratings

Viewing Conversations #

Conversations List #

Go to Conversations in the left sidebar to see all your interactions.

What you'll see:

  • Title - Auto-generated summary of the conversation topic
  • Status - Current state (Open, Resolved, Closed, etc.)
  • Customer - Who you're talking with
  • Channel - Where the conversation came from (Web, WhatsApp, etc.)
  • Agent - Which AI agent handled it
  • Last message - When the last activity happened

Searching and Filtering #

Find specific conversations quickly:

Search by:

  • Customer name or email
  • Keywords in the conversation
  • Conversation ID

Filter by:

  • Status - Open, Pending Human, Resolved, Closed
  • Channel - Web, WhatsApp, Email, etc.
  • Agent - Which AI agent handled it
  • Date range - When the conversation happened

Conversation Statuses #

Understanding what each status means:

Status What It Means What Happens
Open AI is actively handling the conversation Agent responds automatically
Processing AI is thinking and preparing a response Wait a few seconds
Pending Human Customer needs human help Appears in your Queue
Human Took Over A team member is now handling it AI stops responding
Resolved Issue was solved successfully Conversation is complete
Closed Conversation ended No further action needed

Opening a Conversation #

Click any conversation to see the full details:

Conversation Thread #

The main area shows all messages in chronological order:

  • Customer messages appear on one side
  • Agent responses appear on the other
  • System messages (like "Agent joined") in the middle
  • Timestamps on each message

Message Features #

For each AI response, you can see:

  • ✅ Confidence score - How sure the AI was about its answer
  • 📚 Sources - Which documents were used to generate the response
  • âąī¸ Response time - How long it took to generate
  • 👍 👎 Feedback - Rate the quality of the response

Conversation Info Panel #

On the right side, view:

  • Customer details - Name, email, history
  • Conversation metadata - Channel, start time, duration
  • Agent info - Which agent handled this
  • Playbook used - If any workflow was triggered
  • Tags - Categorize conversations for later analysis

Taking Over a Conversation #

Sometimes you need to step in and handle a conversation yourself.

When to Take Over #

  • Customer specifically requests a human
  • Issue is too complex for AI
  • Situation requires empathy or judgment
  • Agent isn't providing good answers

How to Take Over #

  1. Open the conversation
  2. Click Take Over button at the top
  3. Start typing your messages
  4. The AI will stop responding automatically

What happens when you take over:

  • Status changes to "Human Took Over"
  • AI stops generating responses
  • You can chat directly with the customer
  • All your messages are logged

Exiting Takeover #

When you're done:

  1. Click Return to AI or Close Conversation
  2. If you return to AI, the agent resumes handling messages
  3. If you close, the conversation is marked as resolved

Supervision Mode #

Want to watch the AI work without taking over? Use Supervision Mode.

What is Supervision Mode? #

  • Watch the conversation in real-time
  • See what the AI is about to say BEFORE it sends
  • Approve or edit responses
  • Step in only if needed

How to Use It #

  1. Open an active conversation
  2. Click Supervise at the top
  3. When AI generates a response, you'll see it first
  4. Approve to send it, Edit to change it, or Take Over to respond yourself

Perfect for:

  • Training new agents
  • High-value customers
  • Sensitive topics
  • Testing and quality control

Test Conversations (Playground) #

Practice and test your agent without affecting real customers.

Starting a Test #

  1. Go to Conversations
  2. Click New Test Conversation or enter Playground mode
  3. Chat with your agent like a customer would

What's Different in Test Mode #

  • âš ī¸ Marked clearly as "Test"
  • Messages send automatically (no waiting)
  • Doesn't count in your analytics
  • Perfect for trying different questions

Use playground to:

  • Test new playbooks
  • Try edge cases
  • Train team members
  • Show demos to stakeholders

Conversation Actions #

Export Conversation #

Save a complete record:

  1. Click Export button
  2. Choose format (PDF or text)
  3. Download includes all messages, timestamps, and metadata

Perfect for:

  • Sharing with team members
  • Record keeping
  • Training materials
  • Compliance documentation

Add Notes #

Keep internal notes about a conversation:

  1. Click Add Note in the info panel
  2. Type your note (only visible to your team)
  3. Save for future reference

Use notes for:

  • Special customer circumstances
  • Follow-up reminders
  • Context for other team members

Tag Conversations #

Organize conversations with tags:

  • Click Add Tag
  • Choose existing tag or create new one
  • Filter conversations by tags later

Tag ideas:

  • "Urgent"
  • "Refund"
  • "Bug report"
  • "Feature request"
  • "VIP customer"

Managing Customer Messages #

Messages You'll See #

Customer Types:

  • đŸ’Ŧ Regular message
  • 📎 File or image attachment
  • ⭐ Feedback or rating
  • 🔄 Follow-up question

Agent Types:

  • 🤖 AI response
  • 👤 Human agent message
  • â„šī¸ System notification
  • âš ī¸ Error or escalation notice

Handling Attachments #

When customers send files:

  1. Click the attachment to view
  2. Download if needed
  3. AI can read text in images and PDFs
  4. Use context to provide better answers

Best Practices #

Reviewing Conversations #

Make it a habit to review conversations to improve your agent:

Look for:

  • ✅ Great responses (what worked well?)
  • ❌ Poor responses (what needs improvement?)
  • 🔁 Repeated questions (add to your docs!)
  • 😟 Frustrated customers (why did it escalate?)

Responding to Feedback #

When customers rate messages with 👍 or 👎:

  • Read those conversations carefully
  • Update documents if information was wrong
  • Adjust playbooks if flow was confusing
  • Add more examples for unclear topics

Following Up #

Even after AI resolves an issue:

  • Check resolved conversations periodically
  • Reach out to customers who seemed unsatisfied
  • Turn common questions into documentation
  • Celebrate wins when AI nails it!

Common Questions #

Can I delete conversations? #

Conversations are archived rather than deleted for compliance and learning purposes. Contact your administrator if you need to remove sensitive data.

How long are conversations stored? #

Based on your organization's settings. Typically conversations are kept for analysis and improvement.

Can customers reopen closed conversations? #

Yes! If a customer messages again on the same channel, Hay can either continue the previous conversation or start a new one.

What if two agents respond to the same conversation? #

Hay prevents this with a "locking" system. Only one agent (AI or human) can respond at a time.

Next Steps #