AI
Team workload and performance
Who is handling what, how many open tickets each person carries, and how quickly the team resolves them.
How it works
01
See who is handling which conversations and tickets
02
Open tickets are counted per person
03
Resolution speed is measured for each member
04
Managers rebalance work before anyone is overloaded
Related use cases
Root causeAI
Top contact reasons
Every conversation is labelled with why the customer got in touch, and the labels are merged into one clean list, shown in Arabic and English.ImpactSee what drives volume, then fix it at the source
All channelsRoot causeAICustomer pain points
Recurring frustrations are pulled out of conversations and ranked by how often they come up.ImpactA prioritised list of what to fix next
All channelsSentimentAISentiment across channels
Positive, neutral and negative sentiment tracked across every channel, with trends over time.ImpactSpot a drop before it becomes a problem
All channelsCopilotAIAsk Aida, your copilot
Ask anything in plain language: why volume rose this week, which customers are unhappy, which rep is overloaded. Aida answers from your own data.ImpactAnswers in seconds, without waiting for a report
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