The AI Dashboard is your performance command center, where you monitor how your AI assistant is performing and identify opportunities for improvement.

Every metric, conversation, and insight is displayed here to help you understand your AI's effectiveness, revenue impact, and areas that need attention.

📸 [Image: Full AI Dashboard overview showing all sections - Performance overview, Most frequent topics, Missing information, and AI Conversations table]

At the top of your dashboard, you'll see three key metrics that update based on your selected time period:

Total number of conversations your AI has handled.

Percentage of conversations the AI successfully resolved without transferring to a human agent. This is your primary performance indicator—the higher the rate, the better your AI is handling customer queries independently.

📸 [Image: Performance overview cards showing AI Sessions (100), AI Resolution rate (76.32%), and Revenue from Konvo AI (€0.00)]

Total order value attributed to your AI assistant. An order counts toward AI revenue when a customer makes a purchase within 7 days after a conversation with the AI.

Example: A customer asks your AI about product recommendations on Monday. They place an order on Thursday. That order is attributed to your AI's revenue.

Below the metrics, you'll see a line graph tracking your AI resolution rate over time. This helps you spot trends and understand if your AI's performance is improving or declining.

📸 [Image: AI Resolution Rate line graph showing performance fluctuation over time period]

By default, the dashboard displays data from the last 30 days.

To change the time period, use the date selector at the top right and choose from:

📸 [Image: Date selector dropdown showing "Last 30 days" and "Weekly" options]

This section shows what customers are asking your AI most often. Topics are grouped by theme and ranked by frequency.

Why this matters: Identify your most common customer queries to ensure your Knowledge Hub has comprehensive, accurate information on these topics.

Each topic shows:

📸 [Image: Most frequent topics list showing topics like "Users seeking cosmetic recommendations" with count 18, "Order management requests" with count 20, etc.]

What to do with this information:

This section shows topics where your AI couldn't provide answers and transferred conversations to human agents.

Why this matters: These are your improvement opportunities. Every item here represents a gap in your AI's knowledge that, once filled, can increase your resolution rate.

Each entry shows:

📸 [Image: Missing information list showing items like "Missing OTP codes or verification" with count 12, "Missing user preferences" with count 10, etc.]

How to fix missing information:

Example: If "Missing user preferences, selections, or details like skin type" appears frequently with a count of 10, create a Custom Answer explaining how customers can update their skin type preferences, or create a Process that asks clarifying questions before making product recommendations.

At the bottom of the dashboard, you'll see a detailed table of all AI conversations.

Each row represents one conversation and includes:

Where the conversation took place (Live chat, WhatsApp, etc.)

Customer name if available in the system

When the most recent message was sent

The most recent Process or action the AI executed during the conversation

The current state of the conversation:

Resolved (green): AI successfully handled the conversation and closed it without human intervention

Active (orange): Conversation is ongoing between the customer and AI

Unresolved (red): AI transferred the conversation to a human agent because it couldn't resolve the query

📸 [Image: AI Conversations table showing multiple conversations with different channels, names, dates, and status indicators]

How to use this table:

Review your AI Resolution Rate and check for any sudden drops

Start with high-impact gaps: Focus on Missing Information items with the highest counts first. Fixing these will have the biggest effect on your resolution rate.

Review unresolved conversations regularly: Don't just look at metrics—read actual conversations to understand context and nuance.

Track your resolution rate target: Set a realistic goal (e.g., 70% resolution rate) and work systematically toward it.

Combine dashboard insights with Knowledge Hub updates: Your dashboard tells you what to fix; your Knowledge Hub (article 2.1) is where you fix it.

Monitor after changes: When you add new information or processes, check back in 3-5 days to see if resolution rates improved.

Resolution rate is dropping: Review recent unresolved conversations. Check if there's a new topic or issue your AI isn't equipped to handle. Add missing information to your Knowledge Hub.

Revenue attribution seems low: Verify that your eCommerce integration is properly connected. Revenue only tracks when order data flows correctly from your store to Konvo.

Topics don't match what I expect: Your AI groups similar questions together automatically. The topic titles are AI-generated summaries. Click into conversations to see the actual customer questions.

Can't see customer names in conversations: Names only appear if they're available in your system. Anonymous chats or contacts without stored names will show as blank.

→ 3.0 Inbox Overview — introduces Section 3 (the Inbox)